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← Lila Sciences

Senior Software Engineer, Applied AI

Lila Sciences · Cambridge, MA USA; San Francisco, CA USA · One Charles Park, Cambridge, MA · San Francisco, CA

CHECKED 14H AGO

Bio & Science AIonsitesenior$144k–$270k
Apply on the lab’s site ↗

At a glance

Highlights

  • Build next-gen AI platform powering autonomous scientific discovery.
  • Turn cutting-edge AI research into production systems for real science.
  • Work at intersection of AI and science across medicine and materials.

What they offer

  • Bonus potential
  • Generous early-stage equity
  • Medical, dental and vision coverage
  • Employer-paid life and disability insurance
  • Flexible time off with company holidays
  • Paid parental leave
  • Educational assistance program
  • Commuter benefits and subsidized lunch

Ideal candidate

A backend-leaning engineer with 7+ years experience who loves bridging software and applied AI. You thrive in fast-paced teams turning research into reliable, impactful systems for science.

Requirements

  • Bachelor's or Master's in Computer Science, Engineering or related field
  • 7+ years building and scaling production systems, APIs and distributed services
  • Strong Python skills with FastAPI, Flask or Django for backend services
  • Experience with SQL, NoSQL and vector databases including schema design and optimization
  • Hands-on experience integrating ML models or AI workflows into production
  • Proficiency with AWS, Docker/Kubernetes, CI/CD and infrastructure-as-code
  • Ability to work cross-functionally and explain complex concepts to non-experts

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 ↗