Embedded Forward Deployed Engineer, Physical Sciences

Lila Sciences, Inc.

Cambridge (MA)

Hybrid

USD 192,000 - 256,000

Full time

14 days+

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Benefits offered by this job

Equity

Job summary

Lila Sciences is seeking extraordinarily talented Forward Deployed Engineers at Engineer, Senior Engineer, and Lead Engineer levels to join our growing team. This FDE role embeds directly with our internal biotech and materials science teams as well as external customers, tackling real problems with AI-fueled engineering.

You’ll build data-driven tools, orchestration workflows, and interfaces across backend, frontend, and data layers while traveling to customer sites for deployments.

Qualifications

  • Domain expertise in chemistry, materials science, or related field.
  • Experience with data engineering, ETL pipelines, and messy datasets.
  • Strong full-stack development skills across backend, frontend, and data layers.
  • Excellent communication with executives and manufacturing teams.
  • Willingness to travel to customer sites for deployments.

Responsibilities

  • Develop domain-specific tools for data analysis and modeling.
  • Deploy agentic scientific workflows with industrial instruments and data systems.
  • Build real-time data pipelines transforming messy data into insights.
  • Create intuitive interfaces for AI/ML capabilities.
  • Architect solutions from proof-of-concept to enterprise deployment.

Skills

Chemistry
Materials science
Data engineering
ETL pipelines
Full-stack development
Communication
Travel to customer sites

Tools

NumPy
Pandas
SciPy
RDKit
TypeScript
React

Job description

Lila Sciences is seeking extraordinarily talented Forward Deployed Engineers at Engineer, Senior Engineer, and Lead Engineer levels to join our growing team. This FDE role embeds directly with our internal biotech and materials science teams as well as external customers, tackling real problems with AI-fueled engineering.

You’ll build data-driven tools, orchestration workflows, and interfaces across backend, frontend, and data layers while traveling to customer sites for deployments.

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