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Associate Director/Director, Inference Engineering

Lila Sciences · Cambridge, MA USA; San Francisco, CA USA · Alewife, Cambridge, MA · San Francisco, CA

Bio & Science AIonsitedirector$204k–$348k
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At a glance

Highlights

  • Own the inference service end to end bringing models reliably to production.
  • Define how Lila serves models at scale balancing speed, quality and cost.
  • Build systems for model onboarding, deployment safety and observability.

What they offer

  • Competitive base compensation with bonus potential and generous early-stage equity
  • Medical, dental, and vision coverage
  • Employer-paid life and disability insurance
  • Flexible time off with generous company wide holidays
  • Paid parental leave
  • Educational assistance program
  • Commuter benefits, including bike share memberships
  • Company subsidized lunch program

Ideal candidate

A technical leader who thrives owning production services and mentoring senior engineers. You balance research ambition with reliability, and love turning cutting-edge models into dependable products.

Requirements

  • Deep understanding of the inference stack for large language models, including serving frameworks, batching, memory constraints, and latency/throughput tradeoffs
  • Experience owning a customer- or product-facing API service end to end, including SLAs, incident response, and service reliability
  • Track record hiring, mentoring, and retaining senior technical talent, and scaling engineering organizations through rapid growth
  • Strong technical judgment across latency, throughput, reliability, cost, and delivery speed
  • Demonstrated ability to set technical strategy and execute as priorities change
  • Ability to align ML, research, product engineering, and executive stakeholders with competing priorities

Lab profile

About Lila Sciences

Building an autonomous science platform where AI, automation, and biology co-evolve for medicine and materials.

What they build

  • Autonomous Science Platform
  • AI-designed biologics validated in wet-lab
  • Electro-optic materials and photonic devices

Known for

  • Large-scale automated data generation
  • High-throughput protein purification and analytics
  • Protein design and BioML modeling
  • Robotic orchestration and lab simulation
More about Lila Sciences →
Apply on the lab’s site ↗

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