field_job_employment_type

field_job_occupational_field_parents_all

job_organization_name

city

state

<h3>Job Description</h3>
WHO WE ARE
As the nation's largest producer of clean, carbon-free energy, Constellation is focused on our purpose: accelerating the transition to a carbon-free future. We have been the leader in clean energy production for more than a decade, and we are cultivating a workplace where our employees can grow, thrive, and contribute. Our culture and employee experience make it clear: We are powered by passion and purpose. Together, we're creating healthier communities and a cleaner planet, and our people are the driving force behind our success. At Constellation, you can build a fulfilling career with opportunities to learn, grow and make an impact. By doing our best work and meeting new challenges, we can accomplish great things and help fight climate change. Join us to lead the clean energy future.
TOTAL REWARDS
Constellation offers a wide range of benefits and rewards to help our employees thrive professionally and personally. We provide competitive compensation and benefits that support both employees and their families, helping them prepare for the future. In addition to highly competitive salaries, we offer a bonus program, 401(k) with company match, employee stock purchase program comprehensive medical, dental and vision benefits, including a robust wellness program paid time off for vacation, holidays, and sick days and much more.
Expected salary range of $118,800 to $132,000, varies based on experience, along with comprehensive benefits package that includes bonus and 401(k).
PRIMARY PURPOSE OF POSITION
Performs advanced technical/engineering problem solving in support of Power plant operations. Responsible for technical decisions. Possesses excellent knowledge in functional discipline and its practical application and has detailed knowledge of applicable industry codes and regulations.
PRIMARY DUTIES AND ACCOUNTABILITIES
<ul>
<li>Provide in-depth technical expertise to develop, manage and implement engineering analysis, activities and programs</li>
<li>Provide technical expertise and consultation through direct involvement to identify and resolve equipment and system problems</li>
<li>Provide complete task management of engineering issues</li>
<li>Perform engineering tasks as assigned by supervision applying engineering principles</li>
<li>Accountable for the accuracy, completeness, and timeliness of work ensuring proper configuration management and assuring that standard design criteria, practices, procedures and codes are used in preparation of plans and specifications</li>
<li>Perform independent research, reviews, studies and analyses in support of technical projects and programs.</li>
<li>Recommend equipment, new concepts and techniques to improve performance, simplify construction, reduce costs, correct design or material flaws, or comply with changes in codes or regulations</li>
</ul>
MINIMUM QUALIFICATIONS
<ul>
<li>BS Engineering, and 5+ years professional experience</li>
<li>Has demonstrated solid or better results for at least 2 years and works independently in assigned areas of knowledge and skills</li>
<li>Has completed assigned skills and knowledge development training to broaden and deepen knowledge in select areas. Demonstrated ability to assist/mentor junior engineers on technical issues</li>
</ul>
PREFERRED QUALIFICATIONS
<ul>
<li>Demonstrated ability to assist/mentor junior engineers on technical issues</li>
<li>Higher level of accountability than an Engineer 2</li>
<li>Demonstrated proficiency leading cross functional initiatives at an asset/plant</li>
<li>Process Engineering experience in the Natural Gas industry&nbsp;</li>
<li>Rotating equipment experience (piping design, pumps, compressors, generators, natural gas processing, cryogenics, etc.)</li>
</ul>

Engineer, Senior

<h3>Job Description</h3>
Overview:\n
At TDS Telecom, connecting people is at the heart of everything we do. We are forward thinkers who leverage cutting-edge fiber internet technology to strengthen communities. We are dedicated to excellence, which drives us to succeed together, creating a better world through meaningful connections. Ready to make an impact?
As a Field Service Technician, you will assist with on-site installations, troubleshooting, repairs, and maintenance of telecommunications products and equipment that TDS sells and leases. You will have direct, face-to-face contact with our customers and is expected to be proactive with the sales of TDS services and products. Services include, but are not limited to, Telephony, Video/CATV/DBS, Internet, and/or high speed networks. This position exceeds customer expectations by performing extraordinary customer service, identifying customer needs, and providing them with communications solutions. This position also understands how to use and demonstrate TDS products and seeks sales opportunities while educating the customer. Products &amp; services include (but are not limited to): Local Service, Central Office Services, Structured Cabling, MAC (Moves, Adds and Changes), Voice Mail, Audio and/or Video Conferencing and Non-regulated CPE.
Due to in-field support and on-call requirements, the individual selected for this position will be required to reside within a 60-minute driving distance from the Ludlow, VT warehouse located at: 111 Main St, Ludlow, VT 05149.&nbsp;
\n\nResponsibilities:\n
<ul>
<li>Assists with and performs on-site installing, troubleshooting, testing, splicing, repairing, and maintaining telephone equipment and general network equipment, customer premise equipment, Video/CATV/DBS, fiber optic/copper facilities and/or other TDS products &amp; services for new and existing customers. Identifies location of defective cable using various test equipment and repairs buried, aerial, underground and/or customer cable. Locates cable and fiber in response to customer requests and/or construction needs. Pole climbing and operating construction equipment is required. Locates, identifies and marks company underground and buried facilities to prevent facilities from being damaged. Keeps orderly log of all locate requests in our exchange area. Performs cable fault acceptance tests on newly constructed facilities.</li>
<li>Assists with and provides troubleshooting support techniques and corrections. Responds to “trouble” dispatches. </li>
<li>Assists with and provides support for enhancing and maintaining record systems (cross connects, line groups, network elements, etc.). </li>
<li>Provides excellent customer service. Proactively educates and sells TDS products and services to customers. </li>
<li>Gain working knowledge of RUS Standards and Grounding practices associated with splicing and maintenance of outside plant facilities and equipment.</li>
</ul>
\n\nQualifications:\n
Required Qualifications
<ul>
<li>Must have and maintain a valid driver's license.</li>
<li>Must follow the TDS attendance guidelines in order to meet TDS's business needs including but not limited to our obligations to our customers and to our customers' needs.</li>
</ul>
Other Qualifications
<ul>
<li>Upon hire, must successfully complete customer-specific requirements, which may include a background check administered by the customer.</li>
<li>Requires being available for on-call/standby responsibilities and may require occasional travel. Must be willing to work overtime as needed.</li>
<li>Upon hire, must successfully pass all components of the Safety Course curriculum.</li>
<li>Ability to maintain DOT (Department of Transportation) requirements in relation to operating vehicles with a combined GVRW (Gross Vehicle Weight Rating) of &gt;10,000 lbs.</li>
<li>A+ certification and computer networking experience.</li>
<li>Gain an understanding of telecommunication products and services: Inside Wiring/Cable, Internet/Intranet, Bonding &amp; Grounding, Data &amp; Computers/Transmission Concepts, Fiber Optic Transmission, Static Sensitive Equipment, Color Codes, Structured Wiring, Video/CATV/DBS Installation, Inventory Systems, Cable Locating, Battery Maintenance, Key Systems/PBX, Centrex, Switch Maintenance, Voicemail, Special Circuits, Fiber Terminals, Subscriber CXR Terminals, T-1s, ISPs, DSL, ISDN Voice &amp; Data, Testing &amp; Certifying Loops To Support Data, Voice, and/or Video.</li>
<li>Practical knowledge/experience with computer applications including (but not limited to): Databases, Trouble/Repair/Dispatch Systems, Plant Record Systems, MS Outlook, MS Word, and MS Excel.</li>
<li>Ability to work and make decisions independently with little or no supervision.</li>
<li>Demonstrated customer service and sales skills, as well as effective communications skills (verbal and written) for interaction with internal and external customers.</li>
<li>Proven organizational skills and ability to multi-task.</li>
<li>Ability to operate vehicles with manual transmissions.</li>
</ul>
Do you meet all of the Required Qualifications, but aren't sure if your experience meets the Other Qualifications? We encourage you to apply! Research shows that some candidates may&nbsp;not apply for jobs unless they feel they meet 100% of the qualifications, when, in fact, they have the skills and experience to be successful in the role!&nbsp; Experience and skills come in many different forms and may not always look identical to what we have on paper, but still lead to success in the role. If you meet the Required Qualifications and believe you have what it takes to be successful in the position, apply today!&nbsp;
Physical Demands and Work Environment
While performing the duties of this job, the associate is regularly required to sit, stand, write and operate a computer keyboard, standard office equipment and telephone. The associate regularly communicates with customers. The associate is frequently required to move about and reach for items. Frequently required to stoop, kneel, crouch, or crawl. May be required to balance or climb. Frequently lift and/or move up to 50 pounds and occasionally lift and/or move up to 100 pounds. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception, and ability to adjust focus.
This position may require working outdoors, in mechanical/equipment rooms, and possible extreme weather conditions. While performing the duties of this job, the associate is regularly exposed to moving mechanical parts and heavy equipment. The physical demands described here are representative of those that must be met by an associate to successfully perform the essential functions of this job.
Benefits
We believe in taking care of our team, which is why we offer comprehensive benefits to support your health, financial well-being, and overall happiness. Join us and experience a work environment where your well-being is a top priority!
Associates scheduled to work 20 or more hours per week have access to:
<ul>
<li>Medical Coverage</li>
<li>Dental Coverage</li>
<li>Vision Coverage</li>
<li>Life Insurance</li>
<li>401(k) Plan</li>
<li>Generous Vacation &amp; Paid Sick Leave</li>
<li>Seven Paid National Holidays &amp; One Floating Holiday</li>
<li>Paid Parental Leave (6 weeks after 12 months of employment)</li>
<li>Adoption &amp; Surrogacy Assistance</li>
<li>Employee Assistance &amp; Wellness Programs</li>
</ul>
Associates working 30 or more hours per week additionally have access to:
<ul>
<li>Short-Term &amp; Long-Term Disability</li>
<li>TDS Service Discounts</li>
<li>Education Assistance</li>
<li>Paid Volunteer Time</li>
</ul>
In addition to these benefits, all associates will have the opportunity to participate in our Associate Resource Groups, which are designed to encourage community and facilitate professional development. To learn more, click here.
Who is TDS Telecom?
TDS Telecom provides high-speed internet, TV entertainment, and phone services to a diverse range of communities, including small to mid-sized urban, suburban, and rural areas across the U.S. With over 50 years of experience, TDS is committed to building and expanding fiber optic networks that bring cutting-edge connectivity to neighborhoods nationwide. Serving over 1 million connections, our mission is to create a better world by delivering innovative communication solutions that enhance the way people live, work, and connect. Visit tdstelecom.com to learn more!&nbsp;
At TDS, we are committed to Equal Employment Opportunity (EEO) and value the difference of backgrounds, experiences and perspectives in our workforce. We consider all qualified applicants without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other status protected by law.
Pay Transparency
The listed pay range reflects the minimum and maximum base salary. Actual offers will be based on factors such as skills, qualifications, experience, location, and role-specific competencies. Some positions may also offer additional compensation, such as bonuses or equity awards.
\n\nPay Range (Hr./Yr.):\n$22.62/Hr. - $33.94/Hr.

Field Service Technician

<h3>Job Description</h3>
Location:&nbsp;Woburn, MA 
 
Vaxess is an NIH and venture-funded company developing a pipeline of next-generation therapeutics on the Microneedle Array Patch (MAP) platform. With only five minutes of wear-time on the skin, the self-applied MAP enables sustained delivery in the skin. The platform combines high temperature stability with simplified application to dramatically alter the way that drugs are delivered. Vaxess is committed to enabling products that are not only more effective, but also more accessible to patients around the world. 
Device development at Vaxess is cross-disciplinary, integrating mechanical engineering, biomedical engineering, chemical engineering, biomaterials, chemistry, biology, and human factors to address important unmet medical needs. We are seeking a talented, collaborative, and highly motivated engineer with a proven track record in medical device development to support the design of our novel delivery system.&nbsp;
 
Responsibilities
<ul>
<li>Work under the VP of Device Development to design the re-usable MAP delivery device.&nbsp;Focus for this role will be on product design, development, and design for high volume manufacturability.</li>
<li>Support product development in support of pre-clinical and clinical studies. </li>
<li>Work closely with the multidisciplinary Vaxess team and external consultants with specialties spanning Human Factors, Industrial Design, Packaging, Manufacturing, Engineering, Biocompatibility, Quality, and Regulatory.&nbsp;</li>
<li>Lead the selection and management of outside vendors.</li>
<li>Generate all required documents to support device related components of design control requirements (21 CFR 820, ISO 13485 ISO 14971) and regulatory requirements for combination products (21 CFR Part 4). </li>
<li>Develop test methods, generate and maintain design specification, write protocols &amp; reports, lead prototype generation, design verifications &amp; validations, conduct FMEA’s, etc. in line with ISO 14971 Risk Management.</li>
<li>Conduct activities within a quality management system following21CFR820 Quality System Regulation.</li>
<li>Mentor junior team members in the drug-device combination process.</li>
</ul>
 
Qualifications
<ul>
<li>BS in Mechanical or Biomedical Engineering, with at least 7 years of direct experience leading the development of medical devices, ideally drug-device combination products.</li>
<li>Understanding of material &amp; test specs generation, protocol &amp; report writing, process &amp; test development, prototyping, design verification, DOE/SPC process optimization &amp; validation (IQ, OQ, PQ), FMEA.</li>
<li>Experience in the development of regulated medical devices or combination products under Design Control (21 CFR 820 / ISO 13485) and ISO 14971 is required.</li>
<li>Ability to read, analyze, and interpret professional journals, technical procedures, and governmental regulations.</li>
<li>Collaborative problem solving, risk assessment, and risk management skills.</li>
<li>Proven time management skills and ability to achieve goals within timelines.</li>
<li>Demonstrated abilities to learn new skills and fields and creatively solve challenging technical problems.</li>
<li>Entrepreneurial spirit and drive to positively impact global human health</li>
</ul>
 
Vaxess is building a team of exceptional people to rapidly advance product development. We work closely as a team and thrive in a dynamic, exciting, and engaging work environment.
 
Vaxess aims to recruit, employ, train, compensate and promote regardless of race, religion, color, national origin, sex, gender identity or expression, sexual orientation, disability, age, or veteran status.
If you’re interested in joining the Vaxess team, please submit your CV/resume to <a href="mailto:careers@vaxess.com" target="_blank">careers@vaxess.com</a>.&nbsp;&nbsp;

Principal Engineer, Device Development

<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).

1,121 Engineering Jobs