Staff ML Infrastructure Engineer
Staff ML Infrastructure Engineer
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1 Vacancy
Job Description
Job Title: Staff ML Infrastructure Engineer
Location: Watertown MA or New York NY (Hybrid in-person 2x per week)
Compensation: $184000 $215000 base salary competitive equity
***Note: Visa sponsorship available (F-1 OPT with 1 year remaining H1B transfers). US based candidates only.
About the Role
We are seeking a Staff ML Infrastructure Engineer who thrives at the intersection of machine learning and cloud-native this role you will design optimize and scale the infrastructure that powers advanced ML platforms ensuring models train faster deploy more efficiently and run reliably at scale. This is a mission-critical position that enables seamless collaboration between ML research and engineering accelerating innovation in genetic medicine.
Key Responsibilities
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Own and optimize ML compute infrastructure: manage allocation track usage/costs and forecast future needs.
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Partner with engineers to evolve ML tooling and development environments improving efficiency and reproducibility.
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Deploy ML models into production and improve inference performance.
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Manage vendor relationships (e.g. Google Cloud Weights & Biases) with technical oversight and strategic planning.
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Support large-scale ML training and experimentation workflows.
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Balance innovation with execution in a fast-moving mission-driven environment.
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Collaborate cross-functionally to deliver high-impact results.
Qualifications
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48 years of experience as an ML Infrastructure Engineer Data Engineer or similar role (Staff-level).
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Experience building ML infrastructure and tools that scale across teams and evolve over time.
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Proven track record supporting large-scale ML training and experimentation.
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Hands-on expertise in Python for scripting automation and infrastructure tooling.
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Strong experience with cloud-native environments (GCP or AWS) especially for ML workflows.
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Proficiency with containerized environments (Docker Kubernetes).
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Experience with deep learning frameworks such as PyTorch or TensorFlow in production.
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BS in Computer Science Machine Learning Computational Biology or related quantitative field.
Preferred Background
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Experience in both high-scale tech companies and Series AC startup environments.
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Prior involvement in cloud infrastructure transitions or system migrations.
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Exposure to AI/ML applications in biotech or computational biology.
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Experience managing compute budgets and vendor relationships.
Additional Details
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Hybrid work model: must be based in Boston or NYC with in-person presence 2 days per week.
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Visa sponsorship available (F-1 OPT with 1 year remaining H1B transfers).
Employment Type
Full Time
