ML Systems Engineer: Post-Training for Next‑Gen Agent AI

Scale AI, Inc.

New York (NY)

On-site

USD 250,000 - 350,000

Full time

14 days+

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Benefits offered by this job

Comprehensive health, dental, and vision coverage
Retirement benefits
Learning and development stipend
Generous PTO
Commuter stipend

Job summary

Scale AI, Inc. is seeking an ML Sys Research Engineer to accelerate the development of training algorithms for our Agent RL platform. This role involves optimizing and supporting large-scale training alongside cross-functional ML teams.

Ideal candidates will have experience in LLM training, strong software engineering skills, and a relevant advanced degree. The compensation range for this position is $250,000 — $350,000 USD annually, along with attractive benefits including health coverage and PTO.

Qualifications

  • At least 1-3 years of LLM training in a production environment.
  • Experience with post-training methods like RLHF/RLVR and related algorithms.
  • Strong software engineering skills and familiarity with modern ML frameworks.

Responsibilities

  • Build, profile, and optimize our training and inference framework.
  • Collaborate with ML teams to support their R&D.
  • Create a next-gen agent training algorithm.

Skills

LLM training in a production environment
System optimization
Post-training methods
GPU cluster architecture
Multi-node LLM training
Software engineering skills
Communication skills

Education

PhD or Masters in Computer Science or related field

Tools

CUDA
Pytorch
Transformers
Flash attention

Job description

Scale AI, Inc. is seeking an ML Sys Research Engineer to accelerate the development of training algorithms for our Agent RL platform. This role involves optimizing and supporting large-scale training alongside cross-functional ML teams.

Ideal candidates will have experience in LLM training, strong software engineering skills, and a relevant advanced degree. The compensation range for this position is $250,000 — $350,000 USD annually, along with attractive benefits including health coverage and PTO.

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