# Senior / Staff Machine Learning Engineer, Applied AI at Lila Sciences

- Company: Lila Sciences
- What the company does: LILA has created the world's first Operating System for Science powered by Scientific Superintelligence™. Backed by General Catalyst.
- Company website: https://www.lila.ai/
- Type: Startups (AI role)
- Level: Senior
- Location: Cambridge, MA USA; San Francisco, CA USA
- Work setup: On-site
- Posted: 2026-10-07
- Apply by: 2026-11-23
- Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4400741009?utm_source=1752vc&utm_medium=careers
- Page: https://www.1752.vc/careers/jobs/lila-sciences-senior-staff-machine-learning-engineer-applied-ai/

## About the role

We are growing our Applied AI org and seeking a Senior / Staff Machine Learning Engineer, Applied AI with expertise in model post-training, evaluation, and production-oriented ML systems. You’ll shape how Lila’s AI models are adapted to customer-specific scientific needs, with a focus on turning frontier model capabilities into reliable workflows that can be evaluated, iterated and used in real customer contexts. Found on 1752vc Careers, the job board for startup and VC roles.

## What they're looking for

- Minimum 1-2 years of hands-on post-training experience (SFT, RL methods such as DPO/PPO/GRPO) and evaluation system design, gained from having solved these problems many times before
- Strong software engineering skills in Python and modern ML frameworks like PyTorch
- A demonstrated ability to debug ambiguous, high-stakes model behavior quickly, using data, traces, logs, and qualitative feedback - the kind of judgment that only comes from having seen many failure modes before
- Deep familiarity with large language models, multi-modal models, or agentic AI systems
- Clear communication skills for translating customer needs into technical approaches, and for explaining complex model behavior to both technical and non-technical audiences

Tags: AI

Source: 1752vc Careers, https://www.1752.vc/careers/jobs/lila-sciences-senior-staff-machine-learning-engineer-applied-ai/