Dana-Farber Cancer Institute is actively hiring for 4 AI and machine learning positions, primarily in AI/ML Engineer (4) roles. Posted salary ranges span $106K - $234K, with 100% of listings disclosing compensation. The median posted ceiling sits at $157K. Positions are based in Boston, MA, US. The most frequently requested skills across these postings are RAG, Python, Docker, JAX, Kubernetes. Senior-level roles account for 50% of openings.

Skills & Technologies

RAG (4)Python (3)Docker (2)JAX (2)Kubernetes (2)Transformers (2)AI Agents (1)GCP (1)MLflow (1)

Locations

Boston, MA, US

Open Positions (4)

AI/ML Engineer

Principal AI-Machine Learning Engineer

Boston, MA, US $154K - $184K
AI/ML Engineer

Senior AI-Machine Learning Engineer

Boston, MA, US $121K - $129K
AI/ML Engineer

AI-Machine Learning Engineer

Boston, MA, US $90K - $106K
AI/ML Engineer

Director, AI Operations & Services

Boston, MA, US $212K - $234K

Frequently Asked Questions

Dana-Farber Cancer Institute currently has 4 open AI positions across roles including AI/ML Engineer. The most common positions involve applied machine learning, model development, and AI infrastructure. Check the job listings above for the latest openings and requirements.
AI roles at Dana-Farber Cancer Institute range from $106K - $234K based on current job postings. Compensation varies by role type, seniority, and location. Senior and staff-level positions typically fall at the upper end of this range, while mid-level roles cluster near the median. These figures reflect posted salary ranges and may not include equity, bonuses, or signing packages.
The most frequently requested skills in Dana-Farber Cancer Institute's AI job postings are RAG, Python, Docker, JAX, Kubernetes, Transformers. Python appears in the majority of listings, reflecting its dominance in the ML ecosystem. Candidates with experience in multiple skills from this list are more competitive, as most roles require a combination of programming, framework, and domain expertise.
Dana-Farber Cancer Institute's AI positions are based in Boston, MA, US. Location requirements vary by team and role. Some positions may offer hybrid arrangements even if listed as on-site. Check individual job listings for the most current location and remote work policies.

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