Staff Forward Deployed Engineer, Physical Sciences (Level Flexible)
Lila Sciences · Cambridge, MA USA; San Francisco, CA USA · One Charles Park, Cambridge, MA
CHECKED 15H AGO
Bio & Science AIonsitestaff$192k–$256k
At a glance
Highlights
- Embed with materials science teams to transform capabilities across Lila platform.
- Deploy custom agentic scientific workflows integrated with industrial instruments.
- Build real-time pipelines turning scientific data into actionable insights.
What they offer
- Competitive base compensation with bonus potential
- Generous early-stage equity
- Medical, dental and vision coverage
- Employer-paid life and disability insurance
- Flexible time off with generous company holidays
- Paid parental leave
- Educational assistance program
- Commuter benefits including bike share memberships
- Company subsidized lunch program
Ideal candidate
Customer-obsessed generalist energized by deep scientific problems and fast, high-impact shipping. You learn new domains quickly, thrive autonomously amid ambiguity, and love partnering with scientists to turn needs into elegant solutions.
Requirements
- Domain expertise in chemistry, materials science or related field
- Ability to communicate effectively with external partners and internal product and technical leaders
- Experience with data engineering, ETL pipelines and complex datasets
- Strong full-stack development skills across backend, frontend and data layers
- Exceptional problem-solving ability and comfort with ambiguous requirements
- Knack for product discovery and translating customer needs for product teams
- Willingness to travel to customer sites for engineering deployments
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