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Senior / Staff Machine Learning Engineer, Applied AI

Lila Sciences San Francisco, CA

San Francisco, CA

Today

$180k - $298k/yr Full time Senior Ai Ml Artificial Intelligence

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Job Description

Lila Sciences is seeking a Senior / Staff Machine Learning Engineer, Applied AI to reduce the gap between frontier model capabilities and customer-specific scientific workflows. This role centers on post-training, evaluation loops, model debugging, and integration of model behavior into end-to-end product workflows.

Key Responsibilities

Use hands-on expertise to close the last-mile gap between Lila’s model capabilities and customer-specific scientific workflows.
Lead post-training execution using methods such as SFT and RL, including DPO, PPO/GRPO, to align model behavior with customer requirements and feedback.
Run evaluation loops that assess model quality, reliability, and fit for customer use cases.
Convert customer learnings, data signals, and evaluation outcomes into repeatable model improvement cycles.
Partner with AI researchers to translate model advances into reliable, usable capabilities.
Coordinate with Software to integrate model behavior into end-to-end product workflows.
Debug complex model failures using traces, evaluations, customer context, and scientific feedback.

Required Qualifications

Minimum 1-2 years of hands-on post-training experience, including SFT and RL methods such as DPO/PPO/GRPO, along with evaluation system design developed through repeated, real-world problem solving.
Strong software engineering skills in Python and modern ML frameworks such as PyTorch.
Proven 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 explaining complex model behavior to technical and non-technical audiences.

Technologies

Python
PyTorch
SFT
RL
DPO
PPO
GRPO

Bonus Points

Experience adapting models for customer-facing or production workflows, preferably in scientific, technical, or data-intensive domains.
Experience with RL post-training such as RLHF, GRPO, or tool-augmented RL.
Experience building evaluation harnesses, model monitoring, or quality dashboards.
Experience training MoE architectures.
A history of mentoring engineers and serving as a go-to technical expert, rather than functioning primarily as a people manager or strategy owner.

Role Details

Location: San Francisco, CA (onsite)

Compensation: USD 180,000 - 298,000 per yearly

Minimum Experience: 1 years

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