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machine learning engineer

Harvard University

<div></div><div><div><div><div><div><div><b>March 30, 2026
</b></div></div><div><div><div><b>002616SR</b></div></div></div></div></div></div></div><p></p>
<br><div><div><div><p>Company Description</p><p><br>
By working at Harvard University, you join a vibrant community that advances Harvard's world-changing mission in meaningful ways, inspires innovation and collaboration, and builds skills and expertise. We are dedicated to creating a diverse and welcoming environment where everyone can thrive.</p><p><b>
Why join Harvard Medical School?</b></p><p>
Harvard Medical School's mission is to nurture a diverse, inclusive community dedicated to alleviating suffering and improving health and well-being for all through excellence in teaching and learning, discovery and scholarship, and service and leadership.</p><p>
You&rsquo;ll be at the heart of biomedical discovery, education, and innovation, working alongside world-renowned faculty and a community dedicated to improving human health. This is more than a job - it&rsquo;s an opportunity to shape the future of medicine.</p><p><br>
Job Description</p><p><br>
The Core for Computational Biomedicine (CCB) in the Department of Biomedical Informatics (DBMI) at Harvard Medical School (HMS) is looking for a Machine Learning Engineer with advanced expertise to lead development of large language models (LLMs) to advance CCB&rsquo;s mission to leverage data and computation to transform research and education, and to improve health outcomes. CCB provides computational and analytic resources to advance scientific discovery within HMS through its multi-disciplinary team of computational and quantitative scientists who work on collaborative projects both within the center and with members of the HMS community. The selected candidate will play a pivotal role in advancing the center's mission to harness the power of computational techniques in the field of medicine. By developing medical LLMs, the engineer will contribute to educating the next generation of medical students and enhancing clinical decision-making processes.<br>
<br>
Key Responsibilities:</p><ul><li>
Develop, implement, and optimize medical large language models tailored to the needs of medical education and clinical decision support.</li><li>
Collaborate with interdisciplinary teams comprising biologists, clinicians, and data scientists to understand domain-specific requirements and translate them into computational solutions.</li><li>
Stay updated with the latest advancements in deep learning and machine learning to ensure the models developed are state-of-the-art.</li><li>
Develop infrastructures for data transformation and ingestion.</li><li>
Build AI models that make predictions based on large quantities of data.</li><li>
Explain the usefulness of the AI models created to stakeholders.</li><li>
Transform machine learning models into APIs to interact with other applications.</li><li>
Use expert knowledge to lead research AI and data science projects.</li></ul><p></p><p><br>
Qualifications</p><p><b><br>
Basic Qualifications:
</b></p><ul><li>Minimum of seven years&rsquo; post-secondary education or relevant work experience.</li></ul><p><br>
<b>
Additional Qualifications and Skills:
</b></p><ul><li><b>A Master's or PhD in Computer Science, Computational Biology, or a related field is strongly preferred.</b></li><li>
Minimum of 3 years of hands-on experience in developing complex deep learning solutions to tackle scientific challenges.</li><li>
Proficiency with the Python deep learning software stack, particularly expertise in PyTorch, Numpy, and related packages.</li><li>
Experience handling and processing large and diverse datasets, especially medical texts, journals, or electronic health records.</li><li>
Ability to collaborate effectively with non-technical stakeholders, such as doctors and medical researchers.</li><li>
Experience with experiment tracking and project management tools, notably frameworks like Weights &amp; Biases.</li><li>
Prior experience in fine-tuning large language models for specific tasks.</li><li>
Demonstrated experience in optimizing deep learning models for better performance and efficiency.</li><li>
Understanding of biology and/or medicine to bridge the gap between pure machine learning and its applications in the medical field.</li><li>
A track record of publications in technical conferences or journals.</li></ul><p><br>
Additional Information</p><ul><li><b><br>
Standard Hours/Schedule: </b>35 hours per week</li><li><b>
Visa Sponsorship Information: </b>Harvard University is unable to provide visa sponsorship for this position.</li><li><b>
Pre-Employment Screening: </b>Identity, Education, Criminal</li><li><b>
Other Information: </b>Please note that we are currently conducting a majority of interviews and onboarding remotely and virtually. We appreciate your understanding.</li><li><b>
Staying Informed About Your Application:</b> Due to the high volume of applications, we may not always be able to reach out right away, but you can track your status anytime through the Careers@Harvard portal.</li></ul><p>
#LI-DK1</p><div></div><p><b>
Work Format Details</b></p><p>
This position has been determined by school or unit leaders that some of the duties and responsibilities can be effectively performed at a non-Harvard location. The work schedule and location will be set by the department at its discretion and based upon operational needs. When not working at a Harvard or Harvard-designated location, employees in hybrid positions must work in a Harvard registered state in compliance with the University&rsquo;s Policy on <b>Employment Outside of Massachusetts</b>. Additional details will be discussed during the interview process. Certain visa types and funding sources may limit work location. Individuals must meet work location sponsorship requirements prior to employment.</p>
<p><b>
Salary Grade and Ranges</b></p><p>
This position is salary grade level 060. Please visit <b>Harvard's Salary Ranges</b> to view the corresponding salary range and related information.</p>
<p><b>
Benefits</b></p><p>
Harvard offers a comprehensive benefits package that is designed to support a healthy work-life balance and your physical, mental and financial wellbeing. Because here, you are what matters. Our benefits include, but are not limited to:</p><ul><li>
Generous paid time off including parental leave</li><li>
Medical, dental, and vision health insurance coverage starting on day one</li><li>
Retirement plans with university contributions</li><li>
Wellbeing and mental health resources</li><li>
Support for families and caregivers</li><li>
Professional development opportunities including tuition assistance and reimbursement</li><li>
Commuter benefits, discounts and campus perks</li></ul><p>
Learn more about these and additional benefits on our <b>Benefits &amp; Wellbeing Page</b>.</p>
<p><b>
EEO/Non-Discrimination Commitment Statement</b></p><p>
Harvard University is committed to <b>equal opportunity</b> and <b>non-discrimination</b>. We seek talent from all parts of society and the world, and we strive to ensure everyone at Harvard thrives. Our differences help our community advance Harvard's academic purposes.</p><p>
Harvard has an <b>equal employment opportunity policy</b> that outlines our commitment to prohibiting discrimination on the basis of race, ethnicity, color, national origin, sex, sexual orientation, gender identity, veteran status, religion, disability, or any other characteristic protected by law or identified in the university's <b>non-discrimination policy</b>. Harvard's <b>equal employment opportunity policy</b> and <b>non-discrimination policy</b> help all community members participate fully in work and campus life free from harassment and discrimination.</p></div></div></div>

Machine Learning Engineer

Hike Medical

<div><p><b>The Role</b><br>
As a Senior Machine Learning Engineer, you will bridge the gap between raw computer vision and physical, 3D-printed reality. You will own the pipeline that translates a smartphone video into a high-fidelity, CAD-compatible 3D reconstruction of human anatomy.<br>
<b>What You&rsquo;ll Work On</b></p><ul><li><p><b>
3D Reconstruction &amp; Generation:</b> Develop and deploy SOTA models for 3D human body part reconstruction (SDFs, NeRFs, Gaussian Splatting, or Mesh-based approaches) from videos.</p></li><li><p><b>
Deep Learning:</b> Architect pipelines that handle non-Euclidean data to extract precise clinical measurements from noisy real-world scans.</p></li><li><p><b>
CAD Integration:</b> Bridge the gap between AI inference and parametric CAD modeling for automated 3D printing preparation.</p></li><li><p><b>
Rapid Prototyping &amp; Continual Learning: </b>You should be used to keeping up to date on latest advances and quickly implementing these advancements into our systems.</p></li><li><p><b>
Production ML:</b> Work with our engineering team to deploy models into our AWS/serverless environment, ensuring clinical-grade accuracy at scale.</p></li></ul><p><b><br>
Ideal Candidate Profile</b><br>
<b>Technical Requirements</b></p><ul><li><p>
PhD in Machine Learning, Computer Graphics, Geometry Processing, or a related field, or equivalent experience.</p></li><li><p>
Deep expertise in 3D representations (Meshes, Point Clouds, Voxels, SDFs) and their respective computational tradeoffs.</p></li><li><p>
Proven track record in Generative Vision, 3D Reconstruction, or related topics.</p></li><li><p>
Strong proficiency in Python and PyTorch.</p></li><li><p>
Experience in CAD and computational geometry is a big plus.</p></li><li><p>
Experience with ML infrastructure in AWS (SageMaker, Lambda, etc) and model deployment is a plus.</p></li><li><p>
Experience in Biomedical AI or Biomechanics (e.g., modeling joint movement or tissue) is highly valued but not required.</p></li></ul><p><b><br>
Helpful Characteristics</b></p><ul><li><p><b>
Fast Iteration Mindset: </b>Willingness to move fast, iterate confidently in ambiguous tasks and deliver results from imprecise instructions or requirements.</p></li><li><p><b>
Product Minded: </b>Our AI team communicates the art of the possible. Having a good eye for high-value product opportunities is a major plus.</p></li><li><p><b>
Polymathic:</b> You can discuss loss functions with researchers, API latency with engineers, and 3D printing constraints with manufacturing.</p></li><li><p><b>
Strong Communicator:</b> You clearly explain your ideas, challenge assumptions, and collaborate across engineering, AI, and product teams.</p></li><li><p><b>
Mission-Driven:</b> You want to build technology that helps people walk without pain and revolutionize the future of orthopaedic care.</p></li><li><p><b>
Thrives in Collaboration</b>: You push back, ask tough questions, and elevate the team.</p></li></ul></div>

Senior Machine Learning Engineer

Zoox

<div><div><p>The Perception team at Zoox creates the &quot;eyes and ears&quot; of our self-driving robots. Navigating safely and efficiently in complex environments requires detecting, classifying, tracking, and understanding various attributes of surrounding objects&mdash;all in real-time and with exceptional accuracy.</p><br>
As an engineer in the Scene Understanding team, you will develop advanced<b> </b>Vision-Language-Action (VLA) models that perceive our vehicle's surroundings to identify hazards and make driving suggestions. You will utilize VLA models for detecting rare events and ensuring safe driving in these situations. You'll work with state-of-the-art machine learning models that operate in real-time on our robotaxi platform with minimal latency. Collaborating with world-class engineers and researchers across sensors, planning, and other teams, you'll have access to premium sensor data and cutting-edge infrastructure to validate your algorithms in real-world conditions.</div>
<h3 class="jobSectionHeader"><b>In this role, you will...</b></h3><div>
<ul>
<li><p>Design and train Vision-Language-Action (VLA) solutions for robotaxis</p>
</li>
<li><p>Lead end-to-end data strategy, including mining, auto-labeling, and dataset construction to power our ML flywheel</p>
</li>
<li><p>Lead the full post-training stack for VLMs and VLAs, including <b>C</b>ontinual Pre-training (CPT) on domain-specific driving data, Supervised Fine-Tuning (SFT) for instruction following.</p>
</li>
<li><p>Utilize our large-scale data pipelines and ML infrastructure to research, prototype, and deploy solutions that improve driving behavior</p>
</li>
<li><p>Partner with cross-functional teams to integrate perception signals</p>
</li>
</ul></div><h3 class="jobSectionHeader"><b>Qualifications</b></h3><div>
<ul>
<li><p>MS or PhD in Computer Science or related field</p>
</li>
<li><p>Background in deep learning solutions for VLM and VLA models</p>
</li>
<li><p>Track record in post-training large-scale models, CPT, SFT, RL</p>
</li>
<li><p>Hands-on experience with production ML pipelines, including dataset creation, training frameworks, and metrics</p>
</li>
<li><p>Expertise in Python libraries (PyTorch, NumPy, Pandas, VLLM)</p>
</li>
</ul></div><h3 class="jobSectionHeader"><b>Bonus Qualifications</b></h3><div>
<ul>
<li><p>Deep knowledge of cutting-edge computer vision techniques</p>
</li>
<li><p>Publications in top-tier conferences (CVPR, ICCV, RSS, ICRA)</p>
</li>
<li><p>Experience with integrating large language models to various tasks.</p>
</li>
</ul></div><div><div><b>Base Salary Range</b></div>
<div></div>
<div>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.</div>
<div></div>
<div>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.</div>
</div><div><b>About Zoox</b></div><div>
Zoox 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&rsquo;re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.</div><div></div><div><br>
Follow us on LinkedIn</div><div></div><div><b><br>
Accommodations</b></div><div>
If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.</div><div></div><div><b><i><br>
A Final Note:</i></b></div><div><i>
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.</i></div>
<p>
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.</p></div>

Senior Machine Learning Engineer - Scene Understanding

Wayfair

<div><div><b>Who We Are:</b></div><div></div><div><br>
Wayfair is an online retail platform with the mission to enable everyone to live in a home they love. To do this, Wayfair builds and leverages cutting-edge Machine Learning and AI products. Within the broader Science Org, the Supply Chain and Retail Technology (SCRT) Science team drives growth by tackling fundamental challenges pertaining to supply chain and post-order customer experience; for example, building end-to-end systems to predict delivery dates at different points in the shopping funnel, optimizing for customer trust and key operational KPIs, while accounting for dynamic changes in the delivery network.<br>
</div><div></div><br>
<div>Some of the other key projects our team works on include:</div><ul>
<li><div>
Graph Neural Network based Policy Abuse detection: GNN model that is robust to sophisticated identity manipulation (Blog)</div></li>
<li><div>
Personalization: Uplift model for predicting the effectiveness of different customer service policy</div></li>
<li><div>
Vision-LLM: Gen AI model for automating visual diagnostics and resolution for product refund</div></li></ul><div></div><div><br>
We are looking for a strong Machine Learning Scientist with deep technical expertise and a proactive, action-oriented mindset. In this role, you will be instrumental in developing and refining the advanced models and systems that power our core mission. You will work in close collaboration with a highly capable, cross-functional team to tackle complex, high-impact challenges and help pioneer innovative solutions.</div><div></div><div><b><br>
What You&rsquo;ll Do:</b></div><div></div><ul><li><div><br>
Drive significant business impact by designing, building, and deploying large-scale machine learning models balancing short- and long-term value</div></li>
<li><div>
Conduct exploratory data analysis to uncover data patterns, relationships, and key features for model training.</div></li>
<li><div>
Work cross-functionally with product managers and commercial stakeholders to understand business problems or opportunities, and iteratively develop ML solutions maximizing business ROI</div></li>
<li><div>
Collaborate closely with cross-functional engineering partners</div></li>
<li><div>
Develop key success metrics and build evaluation frameworks to regularly assess model output quality</div></li></ul><div></div><div><b><br>
We Are a Match Because You Have:</b></div><div></div><ul><li><div><br>
PhD with 0-1+ years of experience or Master&rsquo;s in a STEM field (Engineering, Computer Science, Data Science, Machine Learning, or a related quantitative field) with 2+ years of full-time industry experience in applied research</div></li>
<li><div>
Proven track record of delivering successful machine learning projects from conception to production, demonstrating strong deployment, problem-solving, and maintenance skills.</div></li>
<li><div>
Professional coding expertise in Python, proficiency in SQL, and experience with data visualization tools; skilled in using ML frameworks (TensorFlow, PyTorch) and version control best practices.</div></li>
<li><div>
Strong written and verbal communication skills with an ability to articulate complex technical concepts to technical and non-technical audiences while collaborating within and across teams.</div></li></ul><div></div><div><b><br>
Nice to Have:</b></div><div></div><ul><li><div><br>
Familiarity with GCP (or AWS, Azure), MLOps (feature store, MLflow etc) and orchestration tools (Kubeflow, Airflow)</div></li>
<li><div>
Experience with containerization tools (Docker)</div></li>
<li><div>
Familiarity with causal inference, multi-armed bandits, personalisation</div></li>
<li><div>
Hands-on experience with LLMs</div></li></ul><div></div><div><b><br>
Why You will Love Working With Us</b></div><div></div><ul>
<li><div>
Fun team outings like kayaking the Charles and Boda Borg,</div></li>
<li><div>
Early adopters of new technology within Wayfair</div></li>
<li><div>
Hackathons to explore new ideas</div></li>
<li><div>
Time Off:</div></li>
<li><ul>
<li><div>Paid Holidays</div></li>
<li><div>
Paid Time Off (PTO)</div></li>
</ul></li>
<li><div>Health &amp; Wellness:</div></li>
<li><ul>
<li><div>Full Health Benefits (Medical, Dental, Vision, HSA/FSA)</div></li>
<li><div>
Life Insurance</div></li>
<li><div>
Disability Protection (Short Term &amp; Long Term Disability)</div></li>
<li><div>
Global Wellbeing: Gym/Fitness discounts (including US Peloton, Global ClassPass, and various regional gym memberships)</div></li>
<li><div>
Mental Health Support (Global Mental Health, Global Wayhealthy Recordings)</div></li>
<li><div>
Caregiver Services</div></li>
</ul></li>
<li><div>Financial Growth &amp; Security:</div></li>
<li><ul>
<li><div>401K Matching (Employee Matching Program)</div></li>
<li><div>
Tuition Reimbursement</div></li>
<li><div>
Financial Health Education (Knowledge of Financial Education - KOFE)</div></li>
<li><div>
Tax Advantaged Accounts</div></li>
</ul></li>
<li><div>Family Support:</div></li>
<li><ul>
<li><div>Family Planning Support</div></li>
<li><div>
Parental Leave</div></li>
<li><div>
Global Surrogacy &amp; Adoption Policy</div></li>
</ul></li>
<li><div>Professional Development &amp; Recognition:</div></li>
<li><ul>
<li><div>Rewards &amp; Recognition</div></li>
<li><div>
Global Employee Anniversary Awards</div></li>
<li><div>
Paid Volunteer Work</div></li>
</ul></li>
<li><div>Unique Perks:</div></li>
<li><ul>
<li><div>Employee Discount</div></li>
<li><div>
U.S. Bluebikes Membership</div></li>
<li><div>
Global Pod Outings</div></li></ul></li></ul><div><br>
</div><div>
This is a hybrid position based in Boston, MA. Our teams are in-office Tuesday-Thursday and remote on Monday and Friday.</div><div>
<p><b>
Assistance for Individuals with Disabilities</b><br>
Wayfair is fully committed to providing equal opportunities for all individuals, including individuals with disabilities. As part of this commitment, Wayfair will make reasonable accommodations to the known physical or mental limitations of qualified individuals with disabilities, unless doing so would impose an undue hardship on business operations. If you require a reasonable accommodation to participate in the job application or interview process, please let us know by completing our Accomodations for Applicants form.<br>
<br>
<b>Need Technical Assistance?</b><br>
For more information about applying for a career at wayfair, visit our FAQ page here.<br>
<br>
<b>About Wayfair Inc.</b><br>
Wayfair is one of the world&rsquo;s largest online destinations for the home. Whether you work in our global headquarters in Boston, or in our warehouses or offices throughout the world, we&rsquo;re reinventing the way people shop for their homes. Through our commitment to industry-leading technology and creative problem-solving, we are confident that Wayfair will be home to the most rewarding work of your career. If you&rsquo;re looking for rapid growth, constant learning, and dynamic challenges, then you&rsquo;ll find that amazing career opportunities are knocking.</p>
<p>
No matter who you are, Wayfair is a place you can call home. We&rsquo;re a community of innovators, risk-takers, and trailblazers who celebrate our differences, and know that our unique perspectives make us stronger, smarter, and well-positioned for success. We value and rely on the collective voices of our employees, customers, community, and suppliers to help guide us as we build a better Wayfair &ndash; and world &ndash; for all. Every voice, every perspective matters. That&rsquo;s why we&rsquo;re proud to be an equal opportunity employer. We do not discriminate on the basis of race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, genetic information, or any other legally protected characteristic.</p>
<p>
Your personal data is processed in accordance with our Candidate Privacy Notice (https://www.wayfair.com/careers/privacy). If you have any questions or wish to exercise your rights under applicable privacy and data protection laws, please contact us at dataprotectionofficer@wayfair.com.</p></div></div>

Machine Learning Scientist II - Supply Chain AI

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><div>Role - Agentic AI Engineer
</div><div>Experience Required - 4+ Years</div><br>
<div><br>
</div><div>Must Have Technical/Functional Skills</div><br>
<div><br>
</div><div>Hands-on with agent frameworks such as Semantic Kernel, LangGraph, LangChain Agents or CrewAI
</div><div>Proficiency in Python and modern AI/ML frameworks, AWS
</div><div>Hands‑on with Bedrock AgentCore Memory, Gateway, and Runtime
</div><div>Strong experience with LLMs (fine-tuning, evaluation, prompt engineering)</div><br>
<div><br>
</div><div>Roles &amp; Responsibilities</div><br>
<div><br>
</div><div>Focus on designing, building, and optimizing AGENTC capabilities using large language models and advanced reasoning frameworks.</div><br>
<div><br>
</div><div>Key Responsibilities
</div><div>Strong technical depth, a passion for building, workstreams in a fast-paced, innovation-driven environment
</div><div>Build serverless agentic product architectures and features on AWS using Bedrock AgentCore Memory, Gateway, Identity, Interpreter, Observability and Runtime
</div><div>Implement and operate A2A/MCP servers on AWS; integrate with Bedrock Agents/Converse APIs
</div><div>Orchestrate multi‑agent plans with Strands Agents; deploy to EKS or Lambda
</div><div>Instrument agents with CloudWatch metrics, spans, and traces; enable audits
</div><div>Collaborate with product managers, data engineers, and UX teams to deliver production-ready solutions
</div><div>Follow the roadmap for AI initiatives, ensuring they align with organizational goals and show measurable impact</div><br>
<div><br>
</div><div>Required Skills &amp; Experience
</div><div>Strong problem-solving and strategic thinking abilities
</div><div>Strong collaboration skills in research-driven environments
</div><div>Hands‑on with Bedrock AgentCore Memory, Gateway, and Runtime
</div><div>Strong experience with LLMs (fine-tuning, evaluation, prompt engineering)
</div><div>Proficiency in Python and modern AI/ML frameworks
</div><div>Proficiency in vector databases and embedding models for retrieval tasks
</div><div>Experience with Data Connectors and API gateways that support seamless communication between systems
</div><div>Experience with generative AI concepts such as Retrieval-Augmented Generation (RAG), agentic workflows, training LLMs with structured and unstructured data sets
</div><div>Strong communicator with the ability to present ideas clearly and influence stakeholders - with a passion for enabling data-driven transformation
</div><div>Hands-on with agent frameworks such as Semantic Kernel, LangGraph, LangChain Agents or CrewAI
</div><div>Deep subject matter expertise in AI technologies, including but not limited to Copilot Studio, OpenAI, Semantic Kernels, Azure AI Foundry, Google Gemini, Microsoft 365, and M365 Copilot or Anthropic or AWS platforms</div><div></div><div><br>
</div><div></div><br>
<div>Base Salary Range : $100,000 to $130,000 Per Annum</div><br>
<div><br>
</div><div>TCS Employee Benefits Summary:
</div><div>Discretionary Annual Incentive.
</div><div>Comprehensive Medical Coverage: Medical &amp; Health, Dental &amp; Vision, Disability Planning &amp; Insurance, Pet Insurance Plans.
</div><div>Family Support: Maternal &amp; Parental Leaves.
</div><div>Insurance Options: Auto &amp; Home Insurance, Identity Theft Protection.
</div><div>Convenience &amp; Professional Growth: Commuter Benefits &amp; Certification &amp; Training Reimbursement.
</div><div>Time Off: Vacation, Time Off, Sick Leave &amp; Holidays.
</div><div>Legal &amp; Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refina ncing.
</div></div></div></div><div><div><div><b>Location</b></div>
<div>Boston, MA</div>
</div><div><div><b>Job Function</b></div>
<div>TECHNOLOGY</div>
</div><div><div><b>Role</b></div>
<div>Engineer</div>
</div><div><div><b>Job Id</b></div>
<div>404955</div>
</div><div><div><b>Desired Skills</b></div>
<div>Artificial Intelligence</div>
</div><div><div><b>Salary Range</b></div>
<div>$100,000-$130,000 a year</div></div></div></div><div></div>

Agentic AI Engineer

Chewy

<div><p>Job Description:</p><p></p><p><b>
Your Opportunity</b></p><p>
Chewy is seeking a highly skilled and experienced <b>Manager, Data Science</b> to join our growing Customer Care Data organization! In this role, you will lead a team of Data Scientists and Machine Learning Engineers. You will collaborate with multi-functional partners to build, develop, and deploy machine learning and data-driven solutions that improve customer and agent experiences. You will guide projects from experimentation to production, bridging advanced analytics with scalable engineering, to deliver measurable business impact. This is a hands-on leadership role dedicated to technical depth, innovation, and execution excellence.</p><p><b>
What You&rsquo;ll Do</b></p><ul><li>
Lead the design and implementation of scalable, reliable machine learning and AI solutions that empower Chewy&rsquo;s Customer Care teams.</li><li>
Partner with engineering, product, operations and enterprise teams to identify high-impact use cases and translate business needs into technical solutions.</li><li>
Lead all aspects of the full data science lifecycle, from data acquisition and feature engineering to model development, deployment, and performance monitoring.</li><li>
Implement best practices in experimentation, model validation, and continuous improvement, ensuring rigor and reproducibility.</li><li>
Ensure models are operationalized through strong MLOps practices, including CI/CD pipelines, versioning, and automated retraining and data quality and governance standards are maintained across all projects.</li><li>
Mentor and develop Data Scientists &amp; Machine Learning Engineers, fostering technical excellence, scalable thinking, and innovation within the team.</li><li>
Guide project prioritization and resource allocation, balancing long-term innovation with near-term business needs.</li><li>
Communicate findings and recommendations to senior leaders through compelling narratives and data visualizations that drive strategic decisions.</li><li>
Stay ahead of emerging ML and AI techniques, particularly in NLP, LLMs, and generative AI, and evaluate their applicability to Chewy&rsquo;s business context.
</li></ul><p><b>What You&rsquo;ll Need</b></p><ul><li>
Master&rsquo;s degree (or Ph.D.) in Data Science, Computer Science, Statistics, or a related field.</li><li>
5+ years of experience in data science or applied machine learning, including at least 2 years leading technical teams.</li><li>
Strong programming skills in Python or R, with experience in data manipulation and ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).</li><li>
Solid understanding of machine learning algorithms, statistical modeling, experimental design and MLOps.</li><li>
Hands-on exposure to LLMs and advanced NLP techniques, including fine-tuning, prompt optimization, and generative AI.</li><li>
Experience with SQL and data engineering concepts; familiarity with cloud platforms (AWS, GCP, or Azure).</li><li>
Familiarity with big data and analytics technologies (e.g., Spark, dbt, Iceberg, Redshift, Athena).</li><li>
Experience with data visualization tools (e.g., Tableau, Streamlit, Plotly).</li><li>
Proven ability to translate complex analytical outcomes into actionable business insights.</li><li>
Excellent communication and stakeholder management skills, with the ability to align technical work to strategic objectives.</li></ul><p><b>
Nice to Have</b></p><ul><li>
Knowledge of graph-based modeling, optimization, or recommendation systems.</li><li>
Previous experience in retail or e-commerce environments.</li></ul><br>
<p></p>
The base salary range for this role is $137,500 - $225,000.00.<ul><li><p>
The specific salary offered to a candidate may be influenced by a variety of factors including but not limited to the candidate&rsquo;s relevant experience, education, and work location. In addition, this position is eligible for 401k and a new hire and annual equity grant. C08+ positions may also be eligible for annual bonus.</p></li></ul><p></p><p>
We offer different types of insurance and benefits, such as medical/Rx, vision, dental, life, disability, hospital indemnity, critical illness, and accident. We offer parental leave, family services benefits, backup dependent care, flexible spending accounts, telemedicine, pet adoption reimbursement, employee assistance program, and many discounts including 10% off pet insurance and 20% off at Chewy.com.</p><p></p><p>
Exempt salary team members have unlimited PTO, subject to manager approval. Team members will receive six paid holidays per year. Team members may be eligible for paid sick and family leave in compliance with applicable state and local regulations.</p><p></p><p>
Chewy is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, gender, citizenship, marital status, religion, age, disability, gender identity, results of genetic testing, veteran status, as well as any other legally-protected characteristic. If you have a disability under the Americans with Disabilities Act or similar law, and you need an accommodation during the application process or to perform these job requirements, or if you need a religious accommodation, please contact CAAR@chewy.com.</p></div><p></p>

Manager, Data Science III

JPMorganChase

<div><b>JOB DESCRIPTION</b><p><br>
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
</p><p>As a Software Engineer III - Data Engineering and MLOps at JPMorgan Chase within the Commercial and Investment Banking - Security Services Data Lake team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You will design, deploy, and operate agentic AI and ML solutions; build scalable data pipelines; and automate CI/CD, orchestration, and observability for training and inference. You&rsquo;ll bridge data science, software engineering, and production operations to deliver secure, reliable, and maintainable AI/ML systems. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm&rsquo;s business objectives.</p><p>
</p><p><b>Job responsibilities</b></p><ul><li>
Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems</li><li>
Design, build, and operate scalable batch/streaming pipelines for the Securities Services Data Lake</li><li>
Deploy and manage agentic AI/LLM and ML services; automate training, inference, and feature pipelines</li><li>
Develop APIs/microservices to expose data and ML capabilities to business applications</li><li>
Build and optimize training/serving infrastructure for performance, reliability, and cost</li><li>
Establish observability (monitoring, logging/tracing, data quality, drift, alerting) and track SLOs</li><li>
Manage data/model lifecycle (registries, artifacts, rollbacks, canary/blue‑green releases)</li><li>
Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems</li><li>
Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems</li><li>
Add to team culture of opportunity, inclusion, diversity and respect</li><li><p>
Contributes to software engineering communities of practice and events that explore new and emerging technologies</p><p>
</p></li></ul><p><b>Required qualifications, capabilities, and skills</b></p><ul><li>
Formal training or certification on software engineering concepts and 3+ years applied experience</li><li>
Hands-on practical experience in system design, application development, testing, and operational stability</li><li>
Proficient in coding in one or more languages; Java/Python/Spark/SQL</li><li>
Expertise in Cloud Technologies like AWS</li><li>
Strong knowledge and experience of AI and Machine Learning systems and techniques.</li><li>
Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages</li><li>
Overall knowledge of the Software Development Life Cycle</li><li>
Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security</li><li>
Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)</li></ul><p>
</p><p><b>Preferred qualifications, capabilities, and skills</b></p><ul><li>
Experience with Databricks</li><li>
Establish observability (monitoring, logging/tracing, data quality, drift alerting) and track SLO's</li><li>
Familiarity with modern front-end technologies</li></ul>
<b>ABOUT US</b><br>
<div>
<div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
</div><p></p><div><p>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
</p><div><p>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.</p>
<p>JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans</p><br>
</div></div></div><br>
<br>
<b>ABOUT THE TEAM</b><br>
<br>
J.P. Morgan&rsquo;s Commercial &amp; Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial &amp; Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.</div>

Software Engineer III - Data Engineering and MLOps

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