Staff Forward Deployed Engineer, Physical Sciences (Level Flexible)
Lila Sciences · Cambridge, MA USA
Posted about 2 months ago
or apply directly on Lila Sciences's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 54 days Lila Sciences's roles stay open a median of 55 days
- Reposted
- No
- Salary listed
- No 0% of Lila Sciences's roles list one
- Ghost-job risk at Lila Sciences
- high 104 stale, 2 reposted of 118 open
- Hiring momentum
- 155 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-27
Measured from postings appearing on and disappearing from Lila Sciences's own greenhouse board since 2026-08-03. Full hiring picture for Lila Sciences.
About this role
As a Staff Forward Deployed Engineer at LILA, you will work closely with materials science teams to develop and deploy innovative solutions that enhance their capabilities using AI and software tools. Your role involves creating custom data analysis tools, real-time data pipelines, and intuitive interfaces, all while engaging directly with customers to understand their unique challenges. This position emphasizes rapid development and deployment, allowing you to ship production code quickly and make a significant impact.
- benefits
- 4/5
- freshness
- 1/5
- career value
- 4/5
- role clarity
- 4/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Lila Sciences as an employer.
What you need
- 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 working with complex datasets
- Strong full-stack development skills with the ability to work across backend, frontend, and data layers
- Exceptional problem-solving abilities and comfort with ambiguous requirements
- Knack for product discovery and an ability to pass well-defined customer requirements back to the product teams
Nice to have
- Previous customer-facing or consulting experience
- Depth in controls engineering and machine learning
- Experience with atomistic simulation software (VASP; Quantum Espresso)
- Familiarity with ML/AI implementation and deployment
- Familiarity with modern web technologies (TypeScript, React)
What you get
- Competitive base compensation with bonus potential and generous early-stage equity
- Comprehensive benefits program including 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
Worth weighing
- No specific technologies or frameworks mentioned, which may indicate a need for adaptability
- The role involves significant customer interaction, which may not suit all candidates
- Travel requirements may vary based on customer needs
Summarised from Lila Sciences's posting. Read the full original.
Listed by Lila Sciences on their greenhouse job board, last confirmed open on 2026-09-27. PitchMeAI is not the employer.
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