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Staff ML Engineer, Agent Training & Environments

Labelbox· Engineering
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Hybrid (San Francisco Bay Area)$250k - $280kFull-timePosted 2mo ago

About the role

Labelbox is seeking a Staff ML Engineer focused on agent training environments and post-training RL workflows. The role combines building scalable RL environments, verifiers, and fine-tuning pipelines with engineering throughput and platform reliability to advance frontier agent capabilities.

Responsibilities

  • RL environments for agentic tasks: task definitions, tool surfaces, state and reset semantics, reward design — and the harness that runs thousands of them in parallel
  • Verifiers and graders: programmatic checks, LLM judges, rubric pipelines, pass@k scoring. Deciding what "the agent succeeded" means, and making that judgment trustworthy at scale
  • Fine-tuning pipelines that turn evaluation signals into measurable agent improvements — SFT and RL, from data collection through training to checkpoint evaluation
  • Eval systems that run millions of agent trajectories to measure model and product quality
  • Training and serving infrastructure that scales to the throughput frontier labs need: multi-launcher orchestration, long-running job fault tolerance, cost accounting

Qualifications

  • 3+ year track record of shipping systems that customers and other engineers rely on
  • Strong system and API design judgment
  • Production code experience with coding agents daily
  • Proven ability to build the substrate for others' work: tooling, CI, harnesses, libraries
  • Ability to operate in fast, ambiguous startup environments
  • Deep proficiency in Python, comfortable across the stack
  • Experience in RL post-training with fine-tuned models for agentic tasks and SFT plus RL methods in production
  • Experience designing verifiers/graders for open-ended tasks
  • Ability to reason about compute-economics and optimize experiments

Skills

Required:PythonSystem designRLHF / RL methods (e.g., SFT, PPO, GRPO, DPO)

Benefits

  • Competitive compensation reflecting experience
  • Stock options
  • Health, dental, and vision insurance
  • Flexible PTO and supportive work culture
  • Opportunity to impact frontier AI tooling at scale
Last updated Sep 2, 2026. Interested? Apply on the company site.
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About Labelbox

The data factory for AI teams

Labelbox delivers the software and services to help you build, operate, or staff your data factory

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