Dana-Farber Cancer Institute · 2 hours ago
Principal AI-Machine Learning Engineer
Dana-Farber Cancer Institute is a leader in life changing breakthroughs in cancer research and patient care. The Principal Artificial Intelligence & Machine Learning Engineer I/Scientist I will work within the AI Operations and Data Science Services group, focusing on supporting clinician research activities through machine learning and AI solutions, while also leading research efforts and presenting findings to senior leadership.
CommunitiesHealth CareHealth DiagnosticsHospitalNon ProfitOncology
Responsibilities
Meeting and consulting with physician scientists requiring machine learning & AI support and designing plans and solutions, participating in their research activities, as well as supporting them in the grant writing, and leading research efforts when required
Interpreting complex machine learning & AI information. Summarizing and presenting results to senior leadership
Monitoring new developments in the field and has vision for staying at the cutting edge
Recognizing and reporting problems with the machine learning & AI process and identifying solutions
Qualification
Required
Master's degree required
8 years of relevant experience required with Master's degree or 7 years of relevant experience required with PhD
Deep machine learning & AI skills, at the interface with computer science
Python experience is required; R experience is a plus
Strong team player with the ability to leverage the many excellent groups and resources at DFCI and Harvard more broadly and build collaborative strategies
Ability to communicate and solve problems effectively, track record in serving a variety of diverse customers and projects and of leading teams
Ability to work independently, prioritize, and manage people if needed, within an environment with rapidly changing priorities
Experience to teach three or more of the following: Natural language processing or Computer vision technologies, Transformers, Adversarial / Generative models, JAX + Flex / Haiku, Vision Transformers, Federated learning, AutoML, Self-supervised learning, Causal ML, Reinforcement learning, Infrastructure as Code, DataOps (versioning, lineage, and governance), AIOps & MLOps life cycle (from deployment to monitoring to retirement), explainable AI, batch/online/streaming/edge training/inference, fully reproducible and auditable ML practices, CI/CD for large language models and large vision models, Multi-Cloud & Hybrid data platforms, productized Docker/Spark/Kubernetes solutions such as Databricks and Snowflake, High-throughput big data processing under redundancy / low-latency requirements
Preferred
PhD preferred
Experience within a clinical or research environment preferred
Experience managing at least one person is preferred
Company
Dana-Farber Cancer Institute
Dana-Farber Cancer Institute is a center dedicated to carrying out adult and pediatric cancer treatment activities and advanced research.
H1B Sponsorship
Dana-Farber Cancer Institute has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (148)
2024 (145)
2023 (155)
2022 (139)
2021 (105)
2020 (113)
Funding
Current Stage
Late StageTotal Funding
$88.08MKey Investors
Elaine and Eduardo Saverin FoundationThe DeGregorio Family FoundationLlama
2025-11-24Grant· $20M
2025-05-06Grant· $1M
2024-09-24Grant· $0.5M
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