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<h3>Job Description</h3>
Job DescriptionZoox is building advanced self-driving hardware and software solutions. To attain the utmost efficiency that the system demands, we need you - an expert who understands how to deal with telemetry data from a growing fleet of vehicles. You will be instrumental in finding &amp; detecting performance-related trends and anomalies across the robot fleet. The Software Performance team’s mission is to analyze, optimize and provide guidance to the software and hardware teams in order to meet expected system performance and software stability targets. As an automation engineer within the Software Performance team, you will create automated monitoring and analysis for performance tooling into the software release process to identify fleet-wide trends or anomalies and put detailed performance data at the fingertips of performance experts for quick and efficient investigations.In this role, you will:
<ul>
<li>Automate common workflows &amp; processes for performance data storage and analysis.</li>
<li>Contribute to new data products to enable Engineering and Operations teams to gain access to insights from our varied and complex autonomous vehicle fleet dataset.</li>
<li>Make data more accessible to the rest of the software organization to get insights into stability and performance issues via standardized queries, dashboards, and automated alerts.</li>
<li>Create custom data queries on a large pool of dense performance metrics and build automation flows to extract relevant log segments for efficient triage &amp; investigation.</li>
<li>Work cross-functionally to create automatic detection of anomalies in performance or stability metrics across the fleet and devise automatic triage pipelines to steer them to the best owners.</li>
</ul>
Qualifications
<ul>
<li>3+ years of professional experience in software development or related fields and BS in computer science or related field</li>
<li>Proficient with building data pipelines that ingest very large amounts of data from vehicles and structure it in ways that is quick and easy to execute queries on</li>
<li>Strong knowledge of Python &amp; SQL and continuous integration systems (Github/Gitlab CI, Jenkins, etc)</li>
<li>Savvy with efficient queries on data platforms such as DataBricks, Looker, and with ETL pipelines</li>
<li>Solid statistical inference skills, with the ability to communicate uncertainty appropriately to engineering and business stakeholders</li>
</ul>
Bonus Qualifications
<ul>
<li>Familiarity with Git and Bazel</li>
<li>Proficiency with LLMs and agentic AI for process automation</li>
<li>Experience with large-scale vehicle or device health telemetry</li>
</ul>
 Base Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.About ZooxZoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to <a href="mailto:accommodations@zoox.com" target="_blank">accommodations@zoox.com</a> or your assigned recruiter. A Final Note:You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Software Engineer - Data Performance & Stability

<h3>Job Description</h3>
Job DescriptionDescription:

Company Background
Century Therapeutics is developing novel allogeneic living cell products for oncology, autoimmune disease, and Type I Diabetes that overcome the limitations of current cell therapies. Century’s genetically engineered, iPSC-derived cell therapies are designed to specifically target and deplete pathogenic cells or restore endogenous cellular function. Our commitment to developing off-the-shelf cell therapies will expand patient access and provide an unparalleled opportunity to advance therapies.
 
Century’s foundational technology is built on induced pluripotent stem cells (iPSCs) that have unlimited self-renewing capacity. This enables complex cellular engineering to produce controlled cell banks of modified cells that can be expanded and differentiated into desired cell populations, which can supply vast amounts of allogeneic, homogeneous therapeutic products. This platform differentiates Century from other approaches that utilize non-renewable donor-derived cells.
Role
The Scientist or Senior Scientist will build out our automated analysis tooling that is central to our scientific process at Century. This system ingests data from many assays across Research and delivers timely analysis and visualizations to scientists, maximizing the rate of iterative scientific advancement. The candidate will further grow the capabilities of this system through software development, data engineering, and collaborations. 
 
The role will also involve targeted data analysis projects, presentations, and collaborative work with our research teams and within Comp Bio &amp; Data Sciences, with a specific focus on our beta islet cell therapy program. We collect extensive omics and other multivariate data during and after differentiation that the individual will mine for iterative improvement our therapy products.
Responsibilities
The Scientist or Senior Scientist will:
<ul>
<li>Design, build, and maintain automated analysis and data visualization tools to support iterative scientific research across multiple teams at Century.</li>
<li>Conduct data analysis projects using a combination of internal and public data sets to further development of our beta islet cell therapy product.</li>
</ul>
Qualifications
Doctorate degree and 1-3 years of industry experience (Scientist) or 4+ years (Senior Scientist), with a substantial and demonstrable computational and data analysis component.
 Keywords
Computational Biology, Data Science, Visualization, Bioinformatics, Statistics, Software Development, R, Python
Requirements:

Requirements
Required:
<ul>
<li>Excellent scientific, logical, and critical thinking abilities. Excellent communication and organizational skills. </li>
<li>Training in biology including a robust knowledge of gene regulation and expression, and familiarity with basic cell biology and genetics.</li>
<li>Experience with software development, industry practices, and related tooling.</li>
<li>Strong programming skills in both Python and R.</li>
<li>Independent, self-directed, and focused on completing objectives.</li>
<li>Experience with data analysis, data visualization, preparing and processing data, computational pipelines, etc.</li>
<li>Some training in Statistics, including probability theory, statistical distributions, linear regression, and multivariate modeling.</li>
</ul>
Desired:
<ul>
<li>Experience working with scientific data, particularly gene expression data</li>
<li>Familiarity with AI-enhanced coding practices and tooling</li>
<li>Familiarity with relational databases (PostgreSQL, etc.)</li>
<li>Familiarity with Linux, shell scripting, command line tools, and text processing.</li>
<li>Familiarity with Amazon Web Services (EC2, S3, and the aws command line tool).</li>
</ul>

Scientist or Senior Scientist, Computational Biology & Data Sciences

<h3>Job Description</h3>
Job DescriptionAbout Us Kalamata Capital Group is a forward-thinking financial technology company committed to leveraging data-driven intelligence to support small business growth. We are seeking a highly skilled Data Scientist to develop predictive models, perform robust exploratory data analysis, and build scalable data pipelines that power key business decisions across the organization. Summary The ideal candidate is an experienced data scientist with deep technical expertise in machine learning, data engineering workflows, and statistical modeling. This role will work closely with engineering, product, and analytics teams to design, validate, and deploy ML solutions that improve decision-making efficiency. Strong proficiency in Pandas, PySpark, and MongoDB is essential, along with the ability to write clean, reproducible, production-ready code. The successful candidate will be equally comfortable communicating complex analytical insights to non-technical stakeholders. Key Responsibilities Exploratory Analysis &amp; Data Profiling: Conduct EDA on large, complex datasets using Pandas and PySpark; assess data quality and structure. Model Development: Build, tune, and evaluate supervised and unsupervised machine learning models (e.g., tree-based methods, regressions, boosting algorithms). Pipeline Engineering: Design and implement reliable, maintainable machine learning pipelines and preprocessing workflows for production environments. Data Management: Query and integrate MongoDB datasets; design efficient schemas and aggregation pipelines that support analytical and operational workloads. Visualization: Create intuitive visualizations using seaborn, plotly, and matplotlib to support model diagnostics and business storytelling. Reproducible Code: Write clean, modular, well-documented Python code (PEP8 compliant); maintain version control using Git. Model Explainability: Apply model interpretation tools such as SHAP and LIME to evaluate feature impact and improve transparency. Cross-Functional Collaboration: Partner with engineering, analytics, and product teams to translate business needs into actionable model-driven solutions. Documentation: Produce clear technical memos, reports, and model documentation for internal stakeholders. Required Skills &amp; Qualifications 
<ul>
<li>Education &amp; Experience:</li>
<li>M.S. in Computer Science, Machine Learning, Computational Biology, or related quantitative field plus 3+ years of relevant experience, or equivalent combination of education and applied work.</li>
<li>Strong foundation in Linear Algebra, Probability, and Statistics.</li>
</ul>
 Technical Expertise: 
<ul>
<li>Advanced proficiency with Pandas and PySpark for data cleaning, reshaping, merges, feature engineering, and workflow optimization.</li>
<li>Strong experience with MongoDB, including querying, indexing, and aggregation pipelines.</li>
<li>Deep knowledge of supervised/unsupervised ML techniques and tools (scikit-learn, XGBoost).</li>
<li>Solid understanding of optimization, regularization, loss functions, and evaluation metrics (AUC, precision, recall, RMSE).</li>
</ul>
 Core Skills: 
<ul>
<li>Experience delivering end-to-end ML projects (data ingestion modeling evaluation optional deployment).</li>
<li>Ability to write clean, reproducible code and maintain organized notebooks/scripts.</li>
<li>Excellent communication skills with the ability to translate analysis into business insights.</li>
<li>Ability to relocate to the New York metro area.</li>
</ul>
 Preferred (Bonus) Skills 
<ul>
<li>Experience with AWS tools (Glue, S3, DMS).</li>
<li>Familiarity with deep learning frameworks (PyTorch, TensorFlow).</li>
<li>Experience deploying models using FastAPI, Flask, AWS, or GCP.</li>
<li>SQL, data warehousing, or data versioning experience.</li>
<li>Software engineering best practices (testing, CI/CD, code review).</li>
<li>Link to GitHub, GitLab, or portfolio of analytical/ML code.</li>
</ul>
 
Flexible work from home options available.

Data Scientist (Machine Learning & Pipeline Engineering)

<h3>Job Description</h3>
Job Description
At OneStudyTeam (a Reify Health company), we specialize in speeding up clinical trials and increasing the chance of new therapies being approved with the ultimate goal of improving patient outcomes. Our cloud-based platform, StudyTeam, brings research site workflows online and enables sites, sponsors, and other key stakeholders to work together more effectively. StudyTeam is trusted by the largest global biopharmaceutical companies, used in over 6,000 research sites, and is available in over 100 countries. Join us in our mission to advance clinical research and improve patient care.
One mission. One team. That's OneStudyTeam.
As a Senior Data Scientist, you will play a pivotal role in advancing Reify Health's data-driven solutions for clinical trials. In this position, you will drive the development of statistical models and machine learning algorithms to improve patient enrollment and trial management. You'll work in a highly regulated healthcare data environment, ensuring compliance with privacy standards while innovating on predictive analytics. This role involves close collaboration with cross-functional teams (especially ML Engineering) to translate complex data insights into practical, impactful tools for the clinical research community.
What You'll Be Working On
<ul>
<li>Site Randomization Forecasting: Develop/enhance forecasting models for site randomization and enrollment trends, enabling better planning and resource allocation across trial sites. </li>
<li>Patient Matching/Ranking Algorithms: Support projects to build algorithms that intelligently match patients to (or rank patients for) appropriate clinical trials, enhancing recruitment efficiency and patient inclusion. </li>
<li>Develop Other Advanced Statistical Models: Create and refine predictive models (Bayesian inference, regression analysis, time-series forecasting) to address other key clinical trial challenges and improve decision-making. </li>
<li>AI Monitoring and Bias Detection: Implement processes to monitor machine learning models in production, detecting bias or performance drift and ensuring models remain fair, accurate, and compliant. </li>
<li>Data Pipeline &amp; Tooling Development: Build and optimize data pipelines and analytical workflows using tools like AWS Athena, Redshift, SageMaker, and dbt, enabling scalable model training and deployment. </li>
<li>Regulatory Compliance in Data Science: Ensure all data science practices align with HIPAA, GDPR, and other privacy regulations, integrating compliance considerations into model development and data handling. </li>
<li>Cross-Functional Collaboration: Work closely with machine learning engineers, product managers, and other stakeholders to integrate models into products and clearly communicate insights and recommendations. </li>
</ul>
What You Bring to OneStudyTeam
<ul>
<li>Education: Master's or Ph.D. in Statistics, Data Science, Computer Science, or a related quantitative field (or equivalent professional experience). </li>
<li>Experience: 5+ years of hands-on data science or analytics experience, preferably in a healthcare, clinical research, or other highly regulated data environment.</li>
<li>Statistical &amp; ML Expertise: Strong foundation in statistical modeling and machine learning techniques, including experience with Bayesian methods, regression analysis, and time-series forecasting. </li>
<li>Model Monitoring &amp; Fairness: Proficiency in evaluating model performance and bias, with the ability to implement AI monitoring tools and bias mitigation strategies to ensure ethical and reliable outcomes. </li>
<li>Technical Toolset: Advanced programming skills in Python (with libraries such as scikit-learn, PyMC, mlforecast, etc.) and SQL, as well as familiarity with data transformation tools like dbt. </li>
<li>Cloud &amp; Data Infrastructure: Hands-on experience with cloud-based analytics and ML services, especially AWS tools (Athena for querying, Redshift for data warehousing, SageMaker for model development/deployment).</li>
<li>Regulated Data Handling: Experience working with sensitive healthcare or clinical trial data under regulations like HIPAA and GDPR, demonstrating a deep commitment to data privacy and security best practices. </li>
<li>Collaborative Communication: Excellent teamwork and meticulous verbal/written communication abilities, with a track record of partnering with engineering and product teams to translate data science work into actionable business solutions. </li>
<li>Domain Knowledge: Understanding of clinical research or health-tech environments is highly valuable, including insight into clinical trial operations and a passion for improving patient outcomes through data.</li>
</ul>
We value diversity and believe the unique contributions each of us brings drives our success. We do not discriminate on the basis of race, sex, religion, color, national origin, gender identity, age, marital status, veteran status, or disability status.
Note: OneStudyTeam is unable to sponsor work visas at this time. If you are a non-U.S. resident applicant, please note that OneStudyTeam works with a Professional Employer Organization.
As a condition of employment, you will abide by all organizational security and privacy policies.
This organization participates in E-Verify (E-Verify's Right to Work guidance can be found here).

Senior Data Scientist

<h3>Job Description</h3>
Job Description
MERL is seeking a highly motivated and qualified intern to conduct research on applying foundation models to manufacturing scenarios. The focus will be on leveraging large-scale pretrained models (e.g., vision-language models, multimodal transformers, diffusion policies) to specialize generalist manipulation policy to obtain high success rate in diverse but specific tasks. Potential research topics include few-shot policy learning, multimodal grounding of multiple sensor modalities to robot actions, and adapting foundation models for precise control and high success rate.
The ideal candidate will be a senior Ph.D. student with a strong background in machine learning for robotics, particularly in areas such as foundation models, imitation learning, reinforcement learning, and multimodal perception. Knowledge on large-scale Vision-Language-Action (VLA) and multimodal foundation models is expected. The internship will involve algorithm design, model fine-tuning, simulation experiments, and deployment on physical robot platforms equipped with cameras, tactile sensors, and force/torque sensors. The successful candidate will collaborate closely with MERL researchers, with the expectation of publishing in top-tier robotics or AI conferences/journals. Interested candidates should apply with an updated CV and relevant publications.
Required Specific Experience 
<ul>
<li>
Strong background in machine learning for robotics, particularly foundation models (e.g., pi_0, OpenVLA, RT-X, etc.) and imitation learning.
</li>
<li>
Experience with simulation environments such as Mujoco, Isaac Gym, or RLBench.
</li>
<li>
Experience with physical robot platforms and sensors (vision, tactile, force/torque).
</li>
<li>
Proficiency in Python, PyTorch, and modern deep learning frameworks
</li>
<li>
Strong publication record in robotics, machine learning, or AI venues
</li>
</ul>
Internship Details
<ul>
<li>Duration: ~3 months</li>
<li>Start Date: Summer 2026 (flexible based on mutual agreement)</li>
<li>Goal: Publish research at leading robotics/AI conferences and journals</li>
</ul>
The pay range for this internship position will be 6-8K per month.
Mitsubishi Electric Research Labs, Inc. "MERL" provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, MERL complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
MERL expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of MERL’s employees to perform their job duties may result in discipline up to and including discharge.
Working at MERL requires full authorization to work in the U.S and access to technology, software and other information that is subject to governmental access control restrictions, due to export controls. Employment is conditioned on continued full authorization to work in the U.S and the availability of government authorization for the release of these items, which might include without limitation, obtaining an export license or other documentation. MERL may delay commencement of employment, rescind an offer of employment, terminate employment, and/or modify job responsibilities, compensation, benefits, and/or access to MERL facilities and information systems, as MERL deems appropriate, to ensure practical compliance with applicable employment law and government access control restrictions. 
In addition to base pay, interns receive a relocation stipend, covered travel to and from MERL, and a monthly Charlie Card for local commuting. Interns are invited to participate in weekly social gatherings and professional development opportunities, including research talks by both internal and external speakers. Interns who meet the 90-day waiting period are also eligible for health insurance coverage. MERL provides immigration support for qualified candidates as needed. Employment is considered “at-will,” and the Company reserves the right to modify base salary or any other compensation program at any time, including for reasons related to individual performance, departmental or Company performance, and market conditions.

Internship - Foundation Models in Robotics for Manufacturing

<h3>Job Description</h3>
Job Description
The Front-End Assistant Manager plays a vital role in the day-to-day operations of McKinnon's
The Assistant Manager will be required to help the Front End Manager, and store management with Customer Service with a Smile (Required), Till/Safe Balancing, Daily and Weekly Paperwork, Staff Training, covering breaks, assisting with bringing in carriages and other duties as required.
 
Experience a Plus, but we will train the right candidate.
 Job Posted by ApplicantPro

Front-End Assistant Manager

<h3>Job Description</h3>
Job Description
About Axtria&nbsp;
Axtria is a global provider of data analytics, software, and consulting services for the Life Sciences and Pharmaceutical industry. With 3,700+ employees and clients in over 30 countries, Axtria empowers life sciences organizations to drive commercial success and improve patient outcomes.&nbsp;
Since our founding in 2010, Axtria has differentiated itself through technology innovation. Our cloud-native platforms—Axtria DataMax™, InsightsMax™, SalesIQ™, MarketingIQ™, and CustomerIQ™—enable seamless integration of data science and AI across commercial operations, supporting functions from sales planning to omnichannel engagement.&nbsp;
The Opportunity&nbsp; We are hiring a high-impact Director of Data Science to lead AI/ML and GenAI initiatives across life sciences clients. This role will focus on scaling Axtria’s AI offerings, driving business growth, and delivering innovative solutions for Commercial and Clinical organizations.&nbsp;
Key Responsibilities &nbsp;
Your mandate is to expand strategic partnerships, generate multi-million-dollar revenue streams, and deliver measurable outcomes through the intelligent application of GenAI, predictive modeling, NLP, and agentic workflows.  &nbsp;
<ul>
<li>
Lead client engagements and expansion of business focused on GenAI, AI/ML, and ML Ops across Commercial and Clinical functions with top-20 global pharmaceutical clients; craft enterprise AI/ML solutions tailored to brand strategy, GTM, RWE, and patient engagement. &nbsp;
</li>
</ul>
<ul>
<li>
Manage a portfolio P&amp;L with accountability for revenue growth, gross margins, and delivery excellence. &nbsp;
</li>
</ul>
<ul>
<li>
Develop and convert pipeline opportunities ($1-3M+ range) by aligning client priorities with Axtria’s GenAI and ML offerings. &nbsp;
</li>
</ul>
<ul>
<li>
Influence account strategy, pricing models, investment cases, and strategic alliances. &nbsp;
</li>
</ul>
<ul>
<li>
Oversee solution delivery teams (15+ globally), ensuring scientific rigor, innovation velocity, and commercial impact. &nbsp;
</li>
</ul>
<ul>
<li>
Direct end-to-end design and scaling of GenAI pipelines (LLMs, RAG, multi-agent systems), causal inference, field optimization, and omni-channel orchestration solutions. &nbsp;
</li>
</ul>
<ul>
<li>
Lead the development of next-gen agentic architectures that support autonomous decisioning, adaptive learning loops, and personalized interventions. &nbsp;
</li>
</ul>
<ul>
<li>
Drive reusability via domain-specific agent libraries, GenAI prompt kits, and modular ML workflows. &nbsp;
</li>
</ul>
<ul>
<li>
Build and scale a world-class AI/ML and GenAI delivery organization across the US, India, and EU. &nbsp;
</li>
</ul>
<ul>
<li>
Engage in industry forums, contribute to innovation, and enhance Axtria’s reputation in the market.&nbsp;
</li>
</ul>
<ul>
<li>
Design solution frameworks to accelerate AI adoption and impact patient outcomes.&nbsp;
</li>
</ul>
<ul>
<li>
Develop and pitch proposals to grow the Data Science practice and Axtria’s client base.&nbsp;
</li>
</ul>
Qualifications&nbsp;
<ul>
<li>
Bachelor’s degree required; MS/PhD in Computer Science or related field preferred.&nbsp;
</li>
</ul>
<ul>
<li>
12+ years in life sciences, including 5+ years in data science, AI/ML, and ML Ops.&nbsp;
</li>
</ul>
<ul>
<li>
Proven expertise in Python, R, TensorFlow, Keras, NLP, deep learning, and big data.&nbsp;
</li>
</ul>
<ul>
<li>
Hands-on experience with cloud platforms (AWS/Azure), ML pipelines, automation, and deployment.&nbsp;
</li>
</ul>
<ul>
<li>
Strong consultative and client-facing experience with a commercial mindset.&nbsp;
</li>
</ul>
<ul>
<li>
Experience in RFP development, solution selling, and delivering AI applications in life sciences.&nbsp;
</li>
</ul>
<ul>
<li>
Knowledge of digital automation tools (e.g., low/no-code platforms, APIs, DevOps) a plus.&nbsp;
</li>
</ul>
<ul>
<li>
Patents or publications in AI/ML a strong plus.&nbsp;
</li>
</ul>
Why Join Axtria&nbsp;
<ul>
<li>
Platform-Led Innovation: Deliver integrated solutions via proprietary platforms like SalesIQ™, InsightsMax™, CustomerIQ™, etc.&nbsp;
</li>
</ul>
<ul>
<li>
Shape the future of AI in life sciences and make a real impact on healthcare outcomes.&nbsp;
</li>
</ul>
<ul>
<li>
Industry Impact: Serve 100+ global life sciences clients, including 16 of the top 20 pharma companies.&nbsp;
</li>
</ul>
<ul>
<li>
Ethical AI Leadership: Join a team driving responsible GenAI innovation across the life sciences value chain.&nbsp;
</li>
</ul>
Additional Details&nbsp;
<ul>
<li>
Hybrid work model (3 days onsite) Berkeley Heights, NJ OR Waltham, MA &amp; client.&nbsp;
</li>
</ul>
<ul>
<li>
Competitive compensation, performance-based bonus, 401(k) with company match, health benefits, and PTO.&nbsp;
</li>
</ul>
Axtria is an EEO/AA employer. All qualified applicants will receive consideration without regard to race, gender identity, religion, national origin, disability, veteran status, or other protected characteristics.&nbsp;
Pay Transparency Laws&nbsp; Salary range or hourly pay range for the position&nbsp; &nbsp; The salary range for this position is $157,600 to $205,425 annually. The actual salary will vary based on applicant’s education, experience, skills, and abilities, as well as internal equity and alignment with market data. The salary may also be adjusted based on applicant’s geographic location.&nbsp; &nbsp; The salary range reflected is based on a primary work location of Berkeley Heights, New Jersey. The actual salary may vary for applicants in a different geographic location.&nbsp;
 #LI-VG1&nbsp;
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818vHJNflZ

Director - Data Science - GenAI (1201)

<h3>Job Description</h3>
Job Description
Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.
Xometry is an on-demand manufacturing marketplace that leverages machine learning (ML) techniques to predict the manufacturing cost of machined parts and produce automated buy it now prices on Xometry.com. Customers love our instant quoting engine, and that engine depends on Xometry's ML team and technology.
We need a strong data scientist leader to manage our ML &amp; data science research &amp; development and evolve the services that make up the backbone of Xometry's business. The successful candidate will bring experience as a data scientist and machine learning leader working for a company where "AI" is considered core to the company's success. They should have experience bringing new ML models to the market as part of an online platform. They should be comfortable leading a technical team, working with product and executive stakeholders with excellent communication and stakeholder management skills - particularly when bridging technical and non-technical audiences.
We have a lot of ideas on how we can improve these systems. We need help connecting these ideas to business metrics, prioritizing them with input from stakeholders into a roadmap, executing efficiently from research to bringing ML models to market, and providing proactive communication on the vision/direction and status of the work.
Responsibilities:
<ul>
<li>Serve as a strategic leader as part of our data science &amp; machine learning team, with responsibility for Xometry's pricing strategy</li>
<li>Build collaborative relationships with key stakeholders; set priorities aligned to business goals; communicate analysis, strategies, timelines, and work of the data science &amp; machine learning team, and gain buy-in from executive leadership</li>
<li>Incorporate internal and external feedback to iterate and evolve ML models</li>
<li>Practice outcome-oriented/KPI-driven team management: Define metrics that lead to business goals and report on the outcomes of your efforts</li>
<li>Lead complex, cross-team projects to deliver on our product &amp; ML strategy, with a singular focus on driving business results</li>
<li>Play a crucial role in exploring new machine learning opportunities, researching and performing proof of concepts, and bringing new machine learning and AI solutions into Xometry's platform</li>
<li>Develop and implement machine learning models that improve Xometry's ability to predict cost, price, and sourcing options for our customers and suppliers.</li>
<li>Responsible for leading the evaluation of emerging technologies, identifying areas for improvement, and developing new features while ensuring the reliability and scalability of Xometry's platform</li>
<li>Lead the exploration of emerging AI and machine learning technologies and develop proof-of-concepts to assess their potential impact on Xometry's platform</li>
<li>Collaborate with cross-functional teams to gather requirements, prioritize features, and define technical solutions based on the latest innovations</li>
<li>Monitor machine learning models and AI performance and troubleshoot issues as they arise</li>
<li>Contribute to the documentation and knowledge base to help other teams understand and use Xometry's AI effectively</li>
</ul>
Qualifications
<ul>
<li>8+ years experience developing and implementing machine learning algorithms, ideally within an online marketplace</li>
<li>Excellent understanding of scalable architectures and thrive working in Agile environments</li>
<li>Recognized expertise in the areas of marketplace optimization and pricing theory</li>
<li>Ability to apply and implement research concepts, ultimately in production quality code</li>
<li>Experience defining clear, testable research hypotheses, including intended impact on the business</li>
<li>Deep knowledge of design of experiments, online experimentation approaches at scale</li>
<li>Ability to formulate and advocate for R&amp;D objectives and results to multi-functional team members including executive business leadership and product management</li>
<li>Experience with your machine learning models running in a real production environment</li>
<li>Experience in end-to-end model development and deployment lifecycle i.e., from prototyping to model development and putting models into production</li>
<li>Strong experience with Python/R, forecasting methodologies, machine learning and statistics,</li>
<li>Experience with SQL and cloud technologies like Snowflake, Google BigQuery, Databricks, presto etc.,</li>
<li>Strong fluency in Python and SQL, experience with Tensorflow, PyTorch, Airflow and data warehouse</li>
<li>PhD in a quantitative field (or BS/MS with equivalent work experience)</li>
<li>Mission-driven, positive attitude, and ability to motivate others</li>
<li>Must be a US citizen, green card holder, or a legal permanent resident of the United States</li>
</ul>
The estimated base salary range for new hires into this role is $192,000- $249,000 annually + annual bonus depending on factors such as job-related skills, relevant experience, and location. We also offer a competitive benefits package, including 401(k) match, medical, dental and vision insurance; life and disability insurance; generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave; EAP, other wellbeing resources; and much more
#LI-Hybrid
Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.
For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

Director, Data Science

<h3>Job Description</h3>
Job DescriptionZoox is building the world's most advanced self-driving hardware and software solution. The efficiency demands of such a system require an expert fine tuning of both the compute hardware architecture as well as the algorithms and middleware that runs on it to achieve maximum throughput at the most optimal power levels.&nbsp; The Software Performance team’s mission is to analyze, optimize and provide guidance to the software and hardware teams in order to meet the required specifications.&nbsp; &nbsp; As a GPU performance software engineer within the Software Performance team, you will instrument, monitor, analyze and optimize GPU-based algorithms that are performance-critical for our solution. The scope for GPU usage ranges from traditional computer vision and deep learning architectures to complex geometric reasoning and multi-agent decision making. Your work will strongly influence design decisions of future compute platforms &amp; resource allocation.In this role, you will:
<ul>
<li>Build real-time instrumentation for performance monitoring (CPU, GPU, latency, memory) and develop offline benchmarking frameworks, tools, and scripts to evaluate &amp; analyze performance at scale in CI/vehicle, and establish budgets for next-gen architectures.</li>
<li>Analyze performance metrics to identify GPU hotspots and root causes, and propose and co-implement actionable solutions with component teams.</li>
<li>Support teams on bringing serial algorithms to the GPU to maximize compute utilization and improve overall latency.</li>
<li>Work as part of the Core team to design a middleware framework that promotes by default efficient and performant code development by maximizing CPU and GPU.</li>
</ul>
Qualifications
<ul>
<li>BS in computer science or related field and 7+ years of experience.</li>
<li>Strong knowledge of CUDA as applied to recent GPU microarchitectures (e.g., Ampere, Blackwell) and experience debugging/optimizing GPU kernels using tools like Nsight.</li>
<li>Strong knowledge of C++ and experience in large code bases, comfortable in Linux development environments.</li>
<li>Experience in development, debugging, and profiling of complex multiprocess systems (e.g., robotic systems, game engines).</li>
</ul>
Bonus Qualifications
<ul>
<li>Experience with GPU kernel development in a real-time environment, including PTX-level programming, CPU SIMD instructions (e.g., AVX intrinsics), and custom CUDA layers with frameworks like TensorRT &amp; XLA.</li>
<li>Hands-on work with ML model optimization (post-training quantization, layer pruning, etc) or hand-tuning GPU kernels (in OpenGL, CUDA, RocM or similar).</li>
<li>Proficiency with SQL, DataBricks, Looker, or other business intelligence tools.</li>
</ul>
Base Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.About ZooxZoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to <a href="mailto:accommodations@zoox.com" target="_blank">accommodations@zoox.com</a> or your assigned recruiter. A Final Note:You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Senior Software Engineer - C++ GPU Performance

<h3>Job Description</h3>
Job Description
Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.
Xometry is seeking a Senior Software Engineer to join our software engineering organization. In this role, you'll work as part of a skilled, collaborative team to build and maintain solutions for the Post Order/Order Management team. You will play a crucial role in the Xometry platform, ensuring the reliability, scalability, and security of our services.
Responsibilities:
<ul>
<li>You will be responsible for designing, coding, testing, and releasing software</li>
<li>Reading, writing, and reviewing code written in HTML, Typescript/Javascript/React, Python, and Rust</li>
<li>Close collaboration with other engineers and product managers to become a valued member of an autonomous, cross-functional team</li>
<li>Operational responsibility for the services that are owned by your team, including deploying services into an AWS and kubernetes environment and taking part in an on-call rotation</li>
<li>Work in an environment that supports your individual growth</li>
</ul>
 Qualifications:
<ul>
<li>Required: 5+ years of experience in a fast-paced technical, problem-solving environment as a full stack software developer</li>
<li>Required: Demonstrable understanding of software engineering fundamentals</li>
<li>Required: Knowledge of HTML, CSS, DOM web programming.</li>
<li>Required: Knowledge and demonstrated experience in at least two of React, Python, Typescript.</li>
<li>Desired: Experience with build and testing technologies using one or more of the following Git/Github actions, GitLab.</li>
<li>Required: Experience with software engineering principles related to security, scalability, asynchronous programming and transactions</li>
<li>Desired: Demonstrated knowledge of principles of service-oriented architectures and ability to lead efforts in defining and implementing a service strategy</li>
<li>Desired: Experience with relational and/or NoSQL databases with understanding of Normalization/Denormalization, Constraints, Transactions, Replication, and Sharding</li>
<li>Required: attention to detail, good work ethic, ability to work on multiple projects simultaneously, and good communication skills</li>
</ul>
The estimated base salary range for new hires into this role is $119,000-$155,000 annually + annual bonus depending on factors such as job-related skills, relevant experience, and location. We also offer a competitive benefits package, including 401(k) match, medical, dental and vision insurance; life and disability insurance; generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave; EAP, other wellbeing resources; and much more.
#LI-Hybrid
Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.
For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

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