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<h3>Job Description</h3>
Director, AI Engineering ( Remote-Eligible)
At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI &amp; ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.
Team Description:
The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers.&nbsp; Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. &nbsp;
In this role, you will:&nbsp;
<ul>
<li>
Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.
</li>
<li>
Oversee the design, development, testing, deployment, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.
</li>
<li>
Make high judgment build-vs-buy decisions across a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more.
</li>
<li>
Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.
</li>
<li>
Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.
</li>
<li>
Attract and retain top talent in the AI industry and nurture personal and professional development for your team. Foster a culture of learning and staying abreast of the state-of-the-art in AI.&nbsp;
</li>
</ul>
The Ideal Candidate:
<ul>
<li>
You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good.&nbsp;
</li>
<li>
Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production.
</li>
<li>
You get fulfillment from empowering others to achieve their potential and you actively drive professional development through mentoring and coaching. You are hands-on when necessary and lead by example.&nbsp;
</li>
<li>
You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven.
</li>
<li>
You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss.&nbsp;
</li>
<li>
You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. 
</li>
</ul>
Basic Qualifications:
<ul>
<li>
Bachelor's degree in Computer Science, Engineering, or AI plus at least 8 years of experience developing or leading AI and ML algorithms or technologies, or Master's degree plus at least 6 years of experience developing or leading AI and ML algorithms or technologies
</li>
<li>
At least 3 years of people leadership experience
</li>
</ul>
Preferred Qualifications:
<ul>
<li>
5 years of experience managing and leading an engineering team
</li>
<li>
7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)
</li>
<li>
Master's degree in Computer Science, Computer Engineering, or relevant technical field
</li>
<li>
Passion for staying up to date with the latest AI research and AI systems, and judiciously apply novel techniques in production
</li>
<li>
Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers
</li>
</ul>
Capital One is open to hiring a Remote Employee for this opportunity. 
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
Remote (Regardless of Location): $239,900 - $273,800 for Director, AI Engineering
 &nbsp;
New York, NY: $287,800 - $328,500 for Director, AI Engineering
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the&nbsp;Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at <a href="mailto:RecruitingAccommodation@capitalone.com" target="_blank">RecruitingAccommodation@capitalone.com</a>. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to <a href="mailto:Careers@capitalone.com" target="_blank">Careers@capitalone.com</a>
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Director, AI Engineering ( Remote-Eligible)

<h3>Job Description</h3>
Lead Data Engineer (Generative AI)
Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs.&nbsp; We are seeking Data Engineers who are passionate about marrying data with emerging technologies. &nbsp;As a Capital One Lead Data Engineer (Generative AI), you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.&nbsp;
The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business.
What You’ll Do:
<ul>
<li>
Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies
</li>
<li>
Work with a cross-functional team of applied researchers, data scientists, software engineers, machine learning engineers and product managers to test and design AI- powered products that change how customers interact with their money.
</li>
<li>
Utilize a broad stack of technologies, including AWS Ultraclusters, Spark, Kubeflow, and more, to support the data pipelines fueling Capital One’s customer behavior foundation models.&nbsp;
</li>
<li>
Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal &amp; external technology communities, and mentoring other members of the engineering community
</li>
<li>
Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance
</li>
</ul>
Basic Qualifications:&nbsp;
<ul>
<li>
Bachelor’s Degree&nbsp;
</li>
<li>
At least 4 years of experience in application development (Internship experience does not apply)
</li>
<li>
At least 2 years of experience in big data technologies&nbsp;
</li>
<li>
At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)
</li>
</ul>
Preferred Qualifications:
<ul>
<li>
7+ years of experience in application development including Python, SQL, Scala, or Java
</li>
<li>
4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)
</li>
<li>
4+ years experience with Distributed data/computing tools (Spark, MapReduce, Hadoop, Hive, EMR, Kafka, Gurobi, or MySQL)
</li>
<li>
4+ years of experience designing, building and optimizing data pipelines and ETL workflows at scale
</li>
<li>
4+ years of experience with UNIX/Linux including basic commands and shell scripting
</li>
<li>
2+ year experience working on real-time data and streaming applications&nbsp;
</li>
<li>
2+ years of data warehousing experience (Redshift or Snowflake)&nbsp;
</li>
<li>
2+ years of experience with Agile engineering practices&nbsp; &nbsp;
</li>
</ul>
At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).
 &nbsp;
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
Boston, MA: $193,400 - $220,700 for Lead Data Engineer
 &nbsp;
McLean, VA: $193,400 - $220,700 for Lead Data Engineer
 &nbsp;
New York, NY: $211,000 - $240,800 for Lead Data Engineer
 &nbsp;
San Francisco, CA: $211,000 - $240,800 for Lead Data Engineer
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the&nbsp;Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at <a href="mailto:RecruitingAccommodation@capitalone.com" target="_blank">RecruitingAccommodation@capitalone.com</a>. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to <a href="mailto:Careers@capitalone.com" target="_blank">Careers@capitalone.com</a>
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead Data Engineer (Generative AI)

<h3>Job Description</h3>
Lead AI Engineer (AI Foundations)
Overview:
At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI &amp; ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.
Team Description:
The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers.&nbsp; Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. &nbsp;
In this role, you will:&nbsp;
<ul>
<li>
Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.
</li>
<li>
Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.
</li>
<li>
Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more.
</li>
<li>
Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.
</li>
<li>
Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.
</li>
</ul>
The Ideal Candidate:
<ul>
<li>
You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good.&nbsp;
</li>
<li>
Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production.
</li>
<li>
You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven.
</li>
<li>
You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss.&nbsp;
</li>
<li>
You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. 
</li>
</ul>
Basic Qualifications:
<ul>
<li>
Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies
</li>
<li>
At least 4 years of experience programming with Python, Go, Scala, or Java
</li>
</ul>
Preferred Qualifications:
<ul>
<li>
6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)
</li>
<li>
Experience designing, developing, delivering, and supporting AI services
</li>
<li>
Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang
</li>
<li>
Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost
</li>
<li>
Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production
</li>
</ul>
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
Cambridge, MA: $193,400 - $220,700 for Lead AI Engineer
 &nbsp;
McLean, VA: $193,400 - $220,700 for Lead AI Engineer
 &nbsp;
New York, NY: $211,000 - $240,800 for Lead AI Engineer
 &nbsp;
San Francisco, CA: $211,000 - $240,800 for Lead AI Engineer
 &nbsp;
San Jose, CA: $211,000 - $240,800 for Lead AI Engineer
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the&nbsp;Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at <a href="mailto:RecruitingAccommodation@capitalone.com" target="_blank">RecruitingAccommodation@capitalone.com</a>. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to <a href="mailto:Careers@capitalone.com" target="_blank">Careers@capitalone.com</a>
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead AI Engineer (AI Foundations)

<h3>Job Description</h3>
Lead Machine Learning Engineer (Intelligent Foundations &amp; Experiences)
As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering.&nbsp;
Intelligent Foundations &amp; Experiences (IFX) is a powerful collective of horizontal technology organizations that are driving Capital One’s real-time intelligent future. Together with our partners in the Enterprise and across lines of business, we deliver broad-reaching technical solutions and advance state-of-the-art science to help every Capital One associate and our 100+M customers succeed.
What you’ll do in the role:&nbsp;
<ul>
<li>
The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:
</li>
<li>
Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams.&nbsp;
</li>
<li>
Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation).
</li>
<li>
Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment.&nbsp;
</li>
<li>
Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications.&nbsp;
</li>
<li>
Retrain, maintain, and monitor models in production.
</li>
<li>
Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale.
</li>
<li>
Construct optimized data pipelines to feed ML models.&nbsp;
</li>
<li>
Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code.&nbsp;
</li>
<li>
Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI.&nbsp;
</li>
<li>
Use programming languages like Python, Scala, or Java.&nbsp;
</li>
</ul>
Basic Qualifications:
<ul>
<li>
Bachelor’s degree&nbsp;
</li>
<li>
At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply)
</li>
<li>
At least 4 years of experience programming with Python, Scala, or Java
</li>
<li>
At least 2 years of experience building, scaling, and optimizing ML systems
</li>
</ul>
Preferred Qualifications:
<ul>
<li>
Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field
</li>
<li>
3+ years of experience building production-ready data pipelines that feed ML models&nbsp;
</li>
<li>
3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow&nbsp;
</li>
<li>
2+ years of experience developing performant, resilient, and maintainable code
</li>
<li>
2+ years of experience with data gathering and preparation for ML models
</li>
<li>
2+ years of people leader experience
</li>
<li>
1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation&nbsp;
</li>
<li>
Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform
</li>
<li>
Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance&nbsp;
</li>
<li>
ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents&nbsp;
</li>
</ul>
At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
Cambridge, MA: $193,400 - $220,700 for Lead Machine Learning Engineer
 &nbsp;
McLean, VA: $193,400 - $220,700 for Lead Machine Learning Engineer
 &nbsp;
New York, NY: $211,000 - $240,800 for Lead Machine Learning Engineer
 &nbsp;
Richmond, VA: $175,800 - $200,700 for Lead Machine Learning Engineer
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the&nbsp;Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at <a href="mailto:RecruitingAccommodation@capitalone.com" target="_blank">RecruitingAccommodation@capitalone.com</a>. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to <a href="mailto:Careers@capitalone.com" target="_blank">Careers@capitalone.com</a>
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead Machine Learning Engineer (Intelligent Foundations & Experiences)

<h3>Job Description</h3>
Lead AI Engineer (AI Foundations, LLM Core and Agentic AI)
Overview 
At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI &amp; ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.
Team Description:
The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers.&nbsp; Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. &nbsp;
In this role, you will:&nbsp;
<ul>
<li>
Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.
</li>
<li>
Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.
</li>
<li>
Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more.
</li>
<li>
Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.
</li>
<li>
Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.
</li>
</ul>
The Ideal Candidate:
<ul>
<li>
You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good.&nbsp;
</li>
<li>
Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production.
</li>
<li>
You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven.
</li>
<li>
You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss.&nbsp;
</li>
<li>
You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. 
</li>
</ul>
Basic Qualifications:
<ul>
<li>
Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies
</li>
<li>
At least 4 years of experience programming with Python, Go, Scala, or Java
</li>
</ul>
Preferred Qualifications:
<ul>
<li>
6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)
</li>
<li>
Experience designing, developing, delivering, and supporting AI services
</li>
<li>
Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang
</li>
<li>
Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost
</li>
<li>
Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production
</li>
</ul>
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
Cambridge, MA: $193,400 - $220,700 for Lead AI Engineer
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McLean, VA: $193,400 - $220,700 for Lead AI Engineer
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New York, NY: $211,000 - $240,800 for Lead AI Engineer
 &nbsp;
San Francisco, CA: $211,000 - $240,800 for Lead AI Engineer
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San Jose, CA: $211,000 - $240,800 for Lead AI Engineer
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Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the&nbsp;Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at <a href="mailto:RecruitingAccommodation@capitalone.com" target="_blank">RecruitingAccommodation@capitalone.com</a>. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to <a href="mailto:Careers@capitalone.com" target="_blank">Careers@capitalone.com</a>
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead AI Engineer (AI Foundations, LLM Core and Agentic AI)

<h3>Job Description</h3>
Job Description Technician, Field Svc II US-MA-Dedham Job ID: 33662 Type: Full-Time # of Openings: 1 Category: Field Service MA - Dedham (Boston) About the Role 
Spotting a solution and fixing a problem is a tremendous technical skillset. It requires diligence, determination, and a knack for knowledge. Does this sound like you? 
If so, Canon USA, an innovator of technology, solutions, and services, wants to meet you. We’re ready to bring aboard individuals who strive for excellence in operational, maintenance, and networking support to help our valued customers with basic technical expertise of Canon-supported products. 
 Your Impact 
We’re actively seeking an individual to:
<ul>
<li>Diagnose basic mechanical, software, network, and system failures using established procedures.</li>
<li>Service and repair designated equipment to Canon standards and specifications.</li>
<li>Maintain working knowledge and aptitude of multiple product groups. This includes basic aspects of troubleshooting and diagnostics. </li>
<li>Meet and exceed customer demands by providing efficient, responsive, and accurate Field/Shop/on-site maintenance.</li>
<li>Properly maintain all technical information, Field Service Reports, Expense Reports, and Canon property assigned.</li>
<li>Maintain all technical information and Canon property assigned and provide direction to less experienced technicians.</li>
<li>Provide the solutions of escalated technical and/or customer service-related problem areas for any territory requested.</li>
</ul>
 About You: The Skills &amp; Expertise You Bring 
Please note: this is a customer-facing role, and requires compliance with customer policies and protocols, which may include COVID-19 vaccination and other measures relating to COVID-19.&nbsp;
We’re looking for a dedicated individual with:
<ul>
<li>HS Diploma, GED, or equivalent experience required, plus 1 to 2 years of related experience.</li>
<li>A basic understanding of internet environments and the ability to complete the 120-day introductory period and the PDIF (Printing and Digital Imaging Foundations) new-hire class.</li>
<li>The ability to travel (valid driver's license and acceptable driving record necessary).</li>
<li>The capability to work in a 24/7 environment, while performing shift work and on-call rotations.</li>
<li>Required to take all necessary steps to obtain security and/or other clearances required by customers to enter the customers’ premises.</li>
<li>Must be able to lift 50 pounds and be active more than 50 percent of the time (walking, standing, stooping/kneeling).</li>
</ul>
We are providing the anticipated base salary range for this role: $21.50-30.74 Hourly . This role is eligible for a transportation allowance.
 Company Overview About our Company - Canon U.S.A., Inc., is a leading provider of consumer, business-to-business, and industrial digital imaging solutions to the United States and to Latin America and the Caribbean markets. With approximately $28.5 billion in global revenue, its parent company, Canon Inc., as of 2024 has ranked in the top-10 for U.S. patents granted for 41 consecutive years. Canon U.S.A. is dedicated to its Kyosei philosophy of social and environmental responsibility. To learn more about Canon, visit us at <a href="http://www.usa.canon.com" target="_blank">www.usa.canon.com</a> and connect with us on LinkedIn at <a href="https://www.linkedin.com/company/canonusa" target="_blank">https://www.linkedin.com/company/canonusa</a>. 
 Who We Are
 Where Talent Fosters Innovation. Do you want your next professional experience to be filled with purpose and opportunity, world-class team members, and impactful work? Driven by our mission of exceeding customer expectations with our technologies and enriching the lives of our local communities and staff, we are a phenomenal team working collaboratively toward common goals. Our employees have a strong work ethic, creativity, and a cooperative spirit. We believe in integrity, respect, empowerment, and making a difference in the communities we serve. There is a strong sense of pride in what we do individually and together as a team. Join us and discover what it means to work for a global digital imaging leader with an unparalleled reputation for quality and innovation. 
What We Offer
 Youll be joining a leader in digital imaging and innovation with an immense opportunity to make an impact and create your own rewarding career. We demonstrate commitment to our employees by offering a full range of rewards, including competitive compensation and benefits. 
And Even More Perks!
 -Employee referral bonus -Employee discounts -Dress for Your Day attire program (casual is welcome, based on your job function) -Volunteer opportunities to give back to our local community -Swag! A Canon welcome kit and official merch you cant get anywhere else Based on weekly patent counts issued by United States Patent and Trademark Office. All referenced product names, and other marks, are trademarks of their respective owners. Canon U.S.A., Inc. offers a competitive compensation package including medical, dental, vision, 401(k) Savings Plan, discretionary profit sharing, discretionary success sharing, educational assistance, recognition programs, vacation, and much more. A more comprehensive list of what we have to offer is available at <a href="https://www.usa.canon.com/about-us/life-at-canon/benefits-and-compensation" target="_blank">https://www.usa.canon.com/about-us/life-at-canon/benefits-and-compensat…</a> We comply with all applicable federal, state and local laws, regulations, orders and mandates, including those we may be required to follow as a federal government contractor/subcontractor. You must be legally authorized to work in the United States. The Company will not pursue or support visa sponsorship. All applicants must reside in the United States at the time of hire. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are not reviewing this job posting on our Careers site <a href="https://www.usa.canon.com/about-us/life-at-canon" target="_blank">https://www.usa.canon.com/about-us/life-at-canon</a>, we cannot guarantee the validity of this posting. For a list of our current postings, please visit us at <a href="https://www.usa.canon.com/about-us/life-at-canon" target="_blank">https://www.usa.canon.com/about-us/life-at-canon</a>. #CUSA Posting Tags #li-rb1 #pm19 
PI0858b9298501-25405-38821579

Technician, Field Svc II

<h3>Job Description</h3>
What you will do
The Field Service Technician will work both independently and as part of a team to install utilization sensors for clients across North America. They’ll assist with system commissioning, troubleshooting and resolving technical issues, and provide remote support to clients as needed.
This role reports to the Field Operations Manager within the Professional Services organization and is accountable for the accurate installation and testing of systems, ensuring reliable performance and strong client satisfaction. Because the work spans sites across North America, the technician can be based anywhere and will travel to project locations as needed-offering variety, flexibility and hands-on experience in the field.
It's an exciting time to join a growing team that’s driving innovation and shaping how we deliver technology in the field.
How you will do it
<ul>
<li>
Complete sensor installs and systems testing in client buildings across North America
</li>
<li>
Create Excel tables with sensor information
</li>
<li>
Assess plans to get the number of sensors and hosts required.
</li>
<li>
Install sensors and hosts under the guidance of the Senior Field Service Technician.
</li>
<li>
Fully test the system before signing off an installation
</li>
<li>
Document all installations and maintenance work for future reference
</li>
<li>
Prioritize knowledge expansion and skills required for advancement
</li>
</ul>
What we look for
<ul>
<li>
Valid Driver’s License
</li>
<li>
Passion for technology
</li>
<li>
Positive attitude
</li>
<li>
Familiarity with network protocols, operating systems and computer hardware
</li>
<li>
Strong time management and organization skills
</li>
<li>
Excellent attention to detail
</li>
<li>
Excellent communication and interpersonal skills, with the ability to work effectively with customers and colleagues
</li>
<li>
Physical capability of bending and crawling under desks for prolonged periods of time.
</li>
<li>
Ability to lift and climb ladders
</li>
</ul>
Ability to travel up to 75% to customer locations on a regular basis – Travel can be all over North America
Who we are
Johnson Controls is an equal employment opportunity and affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, protected veteran status, status as a qualified individual with a disability, or any other characteristic protected by law. For more information, please view EEO is the Law. If you are an individual with a disability and you require an accommodation during the application process, please visit <a href="http://www.johnsoncontrols.com/tomorrowneedsyou" target="_blank">www.johnsoncontrols.com/tomorrowneedsyou</a>.
HIRING HOURLY RANGE: $25.96 - $32.69 (Hourly rate to be determined by the education, experience, knowledge, skills, and abilities of the applicant, internal equity, and alignment with market data.) &nbsp;This position includes a competitive benefits package. For details, please visit the About Us tab on the Johnson Controls Careers site at <a href="https://jobs.johnsoncontrols.com/about-us" target="_blank">https://jobs.johnsoncontrols.com/about-us</a>

Field Technician

<h3>Job Description</h3>
Job Description
Rochester Electronics is immediately hiring for an Engineering Technician I!
At Rochester Electronics, we create an excellent employee experience focused on value, performance, motivation, recognition, and career growth. Many companies say their employees are their most important asset. At Rochester Electronics, we mean it! 
<ul>
<li>Outstanding low-cost medical, dental, vision, and prescription drug coverage, Rochester pays 92% of the premiums on behalf of its full-time employees</li>
<li>Paid time off, including vacation, sick, and holiday</li>
<li>Generous match 401K program</li>
<li>Tuition reimbursement</li>
<li>Flexible spending account</li>
</ul>
And so much more!
General Summary
Works in conjunction with Process Engineers to develop and maintain manufacturing techniques and processes. Recognizes and utilizes prescribed techniques to solve problems.  Can recommend and execute enhancements to product and process flows. 
Responsibilities   
<ul>
<li>Supports Process Engineers in establishing high yielding, cost effective processes based on product need and customer requirements.</li>
<li>Complies with Company policies, operating procedures, processes, and task assignments.</li>
<li>Sets-up and operates equipment and develop process programs.</li>
<li>With direction from Process Engineers, can execute design of experiments (DOE), gathering data for analysis.</li>
<li>Uses principles of Cost of Goods Sold and executes process improvements to increase cost effectiveness of manufacturing.</li>
<li>Serves as member on cross-functional project teams.</li>
<li>Ensures Intellectual Property issues are being considered relative to processes being developed.</li>
</ul>
Basic Qualifications  
<ul>
<li>AS degree in Engineering or Technical Field required; advanced degree preferred.</li>
<li>Minimum 3 years relevant engineering experience.</li>
</ul>
Preferred Qualifications 
<ul>
<li>Familiarity of MIL-PRF-38535, MIL-STD-883, ISO9001 and EIA/JEDEC and standards.</li>
<li>Strong electro-mechanical aptitude; can identify and resolve complex system problems.</li>
<li>Ability to work within a team and as an individual contributor in a fast-paced, changing environment.</li>
<li>Must be able to multitask, and prioritize projects assigned.</li>
<li>Understands work environment issues (i.e. OSHA regulations, etc.).</li>
</ul>
Rochester Electronics is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, or veteran status or any other characteristics protected by applicable law. Rochester Electronics is committed to a culturally diverse workforce.

Engineering Technician I

<h3>Job Description</h3>
Job DescriptionBenefits: 
<ul>
<li>401(k)</li>
<li>401(k) matching</li>
<li>Dental insurance</li>
<li>Health insurance</li>
</ul>
 This individual will be responsible for assisting Product Development Engineers in prototyping, debugging, testing and documenting customer products and test equipment. 
<ul>
<li>Set up and troubleshooting of equipment and completion of required documentation.</li>
<li>Assembly of electro-mechanical prototype equipment, including wire and fluidic/pneumatic routings to engineering documentation or instruction.</li>
<li>Support planned and unplanned engineering equipment maintenance and repair in accordance with calibration requirements and preventative maintenance schedules.</li>
<li>Simple to complex, light to heavy, equipment assembly per engineering documentation and guidance.</li>
<li>Machine shop usage and maintenance low complexity tools.</li>
<li>New equipment installation and qualification under engineering guidance.</li>
<li>Verification testing per test plans provided by and overseen by engineering.</li>
<li>Provide hands-on troubleshooting and some problem-solving support within development engineering as needed.</li>
<li>Assist Development Engineers with revisions and improvements to build and test procedures.</li>
<li>Expectation for this position requires ability to perform low to moderate complexity tasks with oversight.</li>
</ul>
 Columbia Tech is an Equal Opportunity Employer. Columbia Tech does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.

Development Engineering Technician I

<h3>Job Description</h3>
Job Description
Hands-on technician who supports PCB process engineering and New Product Introduction (NPI) activities by operating and maintaining manufacturing equipment, executing operator-level process runs and DOEs, collecting and validating process data, supporting root-cause investigations, and maintaining clear operator documentation.
Duties/Responsibilities:
<ul>
<li>Operate PCB manufacturing equipment and execute production and NPI builds at the operator level (setups, changeovers, first-article builds) per engineering instructions and short sheets/SOPs.</li>
<li>Serve as process owner for assigned machines/processes: maintain readiness, enforce SOP adherence, and act as floor-level point of contact for operators.</li>
<li>Prepare, run, document, and collect raw data for Design of Experiments (DOE) and structured trials under guidance of process engineers; ensure disciplined data capture and handoff.</li>
<li>Monitor and record process performance metrics (yield, cycle time, defect counts, rework); create/maintain basic SPC charts and flag trends to engineering/quality.</li>
<li>Support root-cause analysis and corrective actions (RCA, 5-Why, containment activities); execute and verify engineering-prescribed corrective actions on the floor.</li>
<li>Maintain and update operator-level documentation (short sheets, SOPs, checklists) in clear, concise language; implement simple poka-yoke/error-proofing where feasible.</li>
<li>Perform in-process inspections, first-article checks, and basic quality verification; document nonconformances and escalate to Quality/Engineering.</li>
<li>Assist in equipment qualification, process capability studies (Cp/Cpk) data collection, and process transfers during NPI and scale-up events.</li>
<li>Support purchasing/maintenance in identifying tooling, fixtures, and consumables needed for trials.</li>
<li>Participate in continuous improvement activities and cross-functional NPI meetings.</li>
</ul>
<ul>
<li>Maintain a positive work environment by acting and communicating in a manner so that you get along with customers, clients, vendors, co-workers and management.</li>
<li>This position may require overtime for coverage on alternate shifts and weekends.</li>
<li>Will be required to perform other duties as requested, directed or assigned.</li>
</ul>
Requirements:
<ul>
<li>Associate degree, technical diploma, or equivalent vocational training in Electronics Technology, Manufacturing Technology, or related field; OR 2+ years hands-on experience in PCB manufacturing or related electronics production.</li>
<li>Demonstrated operator-level experience with PCB processes (e.g., imaging, lamination, drilling, routing, soldering, inspection equipment).</li>
<li>Practical experience assisting with or executing DOEs and structured trials and disciplined data collection practices.</li>
<li>Working knowledge of basic statistical tools and SPC concepts; experience with Minitab or similar statistical software preferred.</li>
<li>Proficient with Microsoft Excel and Outlook; experience with MES/MRP/shop-floor systems advantageous.</li>
<li>Strong attention to detail, documentation discipline, and manual dexterity.</li>
<li>Effective verbal and written communication and teamwork skills.</li>
<li>Ability to stand for extended periods and perform light-to-moderate lifting.</li>
</ul>
Amphenol offers a competitive salary and benefits. The candidate must be able to legally work in the United States; we are unable to provide sponsorship. Position requires candidate to be a U.S. person as defined in ITAR, 22 CFR 120.15 (U.S. Citizenship or Resident Alien Status) and defined by 8 U.S.C. 1101(a) (20). Amphenol is a proud Equal Opportunity Employer as to all protected groups, including Individuals with Disabilities and Protected Veterans. For consideration for this position, please apply online to: <a href="https://amphenol-apc.acquiretm.com" target="_blank">https://amphenol-apc.acquiretm.com</a> APC899

1,272 Engineering Jobs