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Senior Machine Learning Engineer

Senior Machine Learning Engineer

HarnhamBoston, MA, United States
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Senior Machine Learning Researcher – Biological Foundation Models

Location : Boston, MA (onsite, full-time)

Compensation : $250k+ base salary - RSUs

About the Company

A well-funded, venture-backed biotech / AI company is building foundation-scale models for biology to enable breakthroughs in cell therapy and precision medicine. The team combines leaders from AI research and computational biology, creating a unique environment at the intersection of cutting-edge machine learning and transformative healthcare applications.

The Role

We are seeking a Senior Machine Learning Researcher to develop large-scale models for single-cell and multi-omics data. You will design transformer-based architectures, explore diffusion and generative approaches, and help build the technical platform that powers next-generation therapies. This is an opportunity to apply state-of-the-art ML to some of the most complex data in science — with direct impact on future clinical applications.

Responsibilities

  • Build and optimize foundation-scale models for single-cell and high-dimensional biological datasets
  • Collaborate with biologists to ensure outputs are interpretable and biologically meaningful
  • Explore novel architectures (transformers, diffusion, multimodal models) for biological representation learning
  • Develop scalable, distributed pipelines for trillion-token-scale training
  • Provide technical leadership and mentorship to other ML researchers

Qualifications

  • 6+ years in machine learning, deep learning, and large-scale data analysis (biological data experience preferred)
  • Advanced degree (MS / PhD strongly preferred) in AI, Computational Biology, Computer Science, or related field
  • Proven track record with transformer-based architectures and large-scale ML systems
  • Experience driving research from prototype through to production
  • Passion for applying advanced ML to advance biology and healthcare
  • Why Join

  • Shape the future of biological foundation models and their application to medicine
  • Collaborate with an exceptional, interdisciplinary team of ML and biology experts
  • Take a leadership role in building the core technical platform for a mission-driven company
  • Competitive salary, equity, and benefits
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