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About the Role

Applied AI sits at the intersection of AI Research, model engineering, and product deployment. The team partners closely with AI Researchers and Software teams to adapt Lila models to customer workflows, improve model quality through post training and driving how harness engineering shapes model behavior inside the product. This is the right role for someone who wants to go deep on model adaptation and evaluation, take real ownership of hard technical problems, and grow into broader scope over time.

Responsibilities

Apply hands-on expertise to close the last-mile gap between Lila's model capabilities and customer-specific scientific workflows.
Run post-training work using approaches such as SFT and RL (DPO, PPO/GRPO) to align model behavior with customer-specific requirements and feedback.
Run evaluation loops that measure model quality, reliability, and customer fit.
Turn customer learnings, data signals, and evaluation results into concrete model improvement cycles.
Partner with AI researchers to translate model advances into reliable, usable capabilities.
Work with Software to integrate model behavior into end-to-end product workflows.
Debug complex model failures using traces, evaluations, customer context, and scientific feedback.

Requirements

Minimum 1-2 years of hands-on post-training experience (SFT, RL methods such as DPO/PPO/GRPO) and evaluation system design.
Strong software engineering skills in Python and modern ML frameworks like PyTorch.
Demonstrated ability to debug ambiguous, high-stakes model behavior quickly, using data, traces, logs, and qualitative feedback.
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.

Skills

SFT
RL (DPO, PPO/GRPO)
Python
PyTorch
Large language models
Multi-modal models
Agentic AI systems
RLHF
GRPO
Tool-augmented RL
MoE architectures

Location

U.S.

Work Type

Full-time

Experience Level

Senior / Staff
1-2 years of hands-on post-training experience

Salary/Compensations

$180,000—$298,000 USD

Benefits

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
Comprehensive benefits program tailored to their region (International)

About the Company

Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges.
We believe science is the most inspiring frontier for AI.
Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.
LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy.
Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance.

Equal Opportunity

Lila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.