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
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
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