GenAI Platform Lead & ML Engineer

Harvard University; Massachusetts; Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Generous paid time off

Medical, dental, vision coverage

Retirement plans

Tuition assistance and reimbursement

Commuter benefits

Job summary

Harvard University is seeking a Machine Learning and Generative AI Engineer to lead GenAI product development across web and mobile platforms. You will operationalize models, optimize pipelines, and implement guardrails while collaborating with data scientists, PMs, and engineers.

The role emphasizes responsible AI, production-grade ML, and mentorship, with hybrid work at the Boston campus and on-site collaboration requirements.

Qualifications

• Bachelor’s degree in mathematics, CS, engineering, or similar field; or equivalent experience.
• 5+ years post-secondary education or work experience in ML/AI roles.
• 2–3 years developing NLP/deep learning models in cloud environments.
• Experience with PyTorch/TensorFlow and optimizing for GPUs.
• Experience building GenAI workflows (RAG, model chaining, dynamic prompting).
• Knowledge of model guardrails, bias mitigation, and semantic search tooling.
• Proficiency with relational/NoSQL DBs, Linux, and at least one cloud provider (AWS/GCP/Azure).
• Familiarity with data pipelines (Airflow/Prefect/Step Functions) and CI/CD.

Responsibilities

• Architect, build, and improve GenAI applications and their underlying systems.
• Automate ML pipelines, monitor performance, and optimize costs.
• Establish reusable frameworks for model building, deployment, and monitoring.
• Implement guardrails, bias mitigation, and approval workflows for production.
• Develop templates and sandbox environments to onboard contributors and experiment.
• Ensure safety and reliability of user-facing GenAI apps with robust testing.
• Collaborate with data scientists, PMs, and data engineers to ship features.
• Mentor team members on production-grade ML code and best practices.
• Contribute to open-source resources and community best practices.
• Monitor, debug, and resolve production issues; manage stakeholder expectations.

Skills

Python

SQL

NLP

Deep learning

PyTorch

TensorFlow

RAG

PEFT/SFT

LangChain

Vector databases

Education

Bachelor’s degree in a technical discipline

Tools

LangChain

LangGraph

Qdrant

Pinecone

Weaviate

Job description

Harvard University is seeking a Machine Learning and Generative AI Engineer to lead GenAI product development across web and mobile platforms. You will operationalize models, optimize pipelines, and implement guardrails while collaborating with data scientists, PMs, and engineers.

The role emphasizes responsible AI, production-grade ML, and mentorship, with hybrid work at the Boston campus and on-site collaboration requirements.