Senior / Engineer II, AI Lab Research Engineer
$148k - $240k • Cambridge, MA USA; San Francisco, CA USA • Full-time
Posted 1y ago
This job has been open for more than 60 days. It may no longer be actively hiring, so check with the company before putting a lot into an application.
Remote Work Policy
On-site
Employment Type
Full-time
Categories
AI Agent Engineer
About the job
Lila Sciences is building the world's first scientific superintelligence platform and autonomous lab for life, chemistry, and materials science. We are pioneering a new age of discovery by applying AI to every aspect of the scientific method to solve humankind's greatest challenges in human health, climate, and sustainability. We are a uniquely cross-functional and collaborative team that thrives in unstructured and creative environments, valuing diverse perspectives and transferable skills. If you are passionate about accelerating scientific discovery, we encourage you to apply.
Responsibilities
- Build agentic AI systems for science that perform sequential decision-making and multi-step reasoning.
- Develop workflow and code generation systems that translate natural language intent into executable steps for lab instruments.
- Create benchmarks, test suites, and telemetry for evaluating AI capabilities and progress toward scientific goals.
- Adapt LLMs and agent architectures for domain-specific applications, including planning, tool use, and structured function calling.
- Implement scalable solutions for complex AI tasks using modern ML frameworks.
Requirements
- PhD or Master's degree in a quantitative discipline (e.g., Computer Science, Physics, Mathematics, Engineering).
- Strong background in machine learning and at least one scientific domain (e.g., biology or materials science).
- Solid understanding of LLMs and agent architectures (planning, tool use, structured function calling, code generation).
- Proficiency in modern ML frameworks such as PyTorch, TensorFlow, or JAX.
- Experience implementing scalable solutions for complex tasks.
- Comfort collaborating across disciplines and interfacing with simulations and real lab systems.
Benefits
- Competitive base compensation with bonus potential.
- Generous early-stage equity.
- Comprehensive 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 for office-based employees.
- Company-subsidized lunch program.