AI/ML Engineering I

Danafarber
Washington, US
Remote

Job Description

" Deep machine learning & AI skills, at the interface with computer science

Experience within a clinical or research environment preferred

Python experience is required; R experience is a nice to have"

Located in Boston and the surrounding communities, Dana-Farber Cancer Institute is a leader in life changing breakthroughs in cancer research and patient care. We are united in our mission of conquering cancer, HIV/AIDS, and related diseases. We strive to create an inclusive, diverse, and equitable environment where we provide compassionate and comprehensive care to patients of all backgrounds, and design programs to promote public health particularly among high-risk and underserved populations. We conduct groundbreaking research that advances treatment, we educate tomorrow's physician/researchers, and we work with amazing partners, including other Harvard Medical School-affiliated hospitals.

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

At Dana-Farber Cancer Institute, we work every day to create an innovative, caring, and inclusiveenvironment where every patient, family, and staff member feels they belong. As relentless as we are in our mission to reduce the burden of cancer for all, we are committed to having faculty and staff who offer multifaceted experiences. Cancer knows no boundaries and when it comes to hiring the most dedicated and compassionateprofessionals, neither do we. If working in this kind of organization inspires you, we encourage you to apply.

Dana-Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other characteristics protected by law.

EEO Poster.

Pay Transparency Statement

The hiring range is based on market pay structures, with individual salaries determined by factors such as business needs, market conditions, internal equity, and based on the candidate's relevant experience, skills and qualifications.

For union positions, the pay range is determined by the Collective Bargaining Agreement (CBA).

$90,400.00 - $106,400.00

Skills & Requirements

Technical Skills

PythonRNatural language processingComputer visionTransformersAdversarial modelsGenerative modelsJaxFlexHaikuVision transformersFederated learningAutomlSelf-supervised learningCausal mlReinforcement learningInfrastructure as codeDataopsAiopsMlopsCi/cdMulti-cloudHybrid data platformsDockerSparkKubernetesDatabricksSnowflakeHigh-throughput big data processingRedundancyLow-latencyFully reproducible and auditable ml practicesLarge language modelsLarge vision modelsProductized docker/spark/kubernetes solutionsVersioningLineageGovernanceExplainable aiBatch/online/streaming/edge training/inferenceMulti-cloud & hybrid data platformsCi/cd for large language models and large vision modelsCommunicationTeamworkClinicalResearchEducation technology

Salary

$90,400 - $106,400

year

Employment Type

FULL TIME

Level

intern

Posted

5/5/2026

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