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Software Engineer I/II, Machine Learning
- Boston, Massachusetts, United States
- Boston, Massachusetts, United States
À propos
This position will be Hybrid and located in our Boston, MA office. (Back Bay)
KEY RESPONSIBILITIES
Design, implement, and maintain production‑grade ML workflows (fine‑tuning, batch/online inference, evaluation) with strong observability and CI/CD.
Deploy GPU‑accelerated ML services and jobs using modern tooling and cloud‑based orchestration.
Collaborate with ML scientists and cross‑functional teams to capture requirements, scope milestones, and deliver features into user workflows and services.
Conduct code reviews and mentor peers on software engineering and MLOps best practices.
QUALIFICATIONS
Engineer I: Minimum of 5 years of related experience with a Bachelor’s degree in a scientific field; or 3 years and a Master’s degree; PhD with 0–3 years of experience or equivalent work experience.
Engineer II: 8+ years relevant experience with a bachelor’s degree in a scientific field; or PhD with 3+ years; or equivalent experience.
Strong modern Python development (packaging, type hints, testing, performance), with experience in building production services and libraries.
Hands‑on with ML model lifecycle and tooling (e.g. PyTorch, HuggingFace, vLLM/Triton/ONNX Runtime); data tooling (e.g. Pandas, Arrow, S3, Parquet); and workflow orchestration (e.g. Prefect, Airflow, Luigi).
Cloud deployment experience (AWS preferred), including containerization, IaC patterns, and GPU workload considerations.
Experience in scientific domains or drug discovery is a plus; ability to collaborate with scientists and communicate across disciplines is essential.
Engineer I: $129.6K – $162K
Engineer II: $152K – $190K
PAY AND BENEFITS We offer industry leading competitive pay, company paid healthcare, flexible spending accounts, voluntary life insurance, 401K matching, and uncapped vacation to our team. We are in a brand-new state‑of‑the‑art facility in beautiful San Diego with an onsite gym, dining, and easy access to great places to live and play.
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Compétences linguistiques
- English
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