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Research Engineer

$180k - $240k

scalr

AI/Research Engineer

San Francisco, CA - 5 days onsite $180K-$240K + early-stage equity

My client is an early-stage AI research company building advanced reasoning systems and post-training infrastructure for enterprise AI applications. The team comes from leading AI labs and startups, with backgrounds spanning LLMs, reinforcement learning, distributed systems, and applied research.

They're looking for a highly technical Research Engineer to work on:

  • LLM post-training and fine-tuning
  • RLHF / DPO / reward modeling
  • Synthetic data generation
  • Evaluation frameworks and reasoning systems
  • Distributed training and inference infrastructure
  • Agentic AI workflows and production deployments

The role is highly hands-on and suited to someone who has actually trained, evaluated, and deployed models - not just built on top of APIs.

Requirements:

  • Strong Python + PyTorch experience
  • Hands-on LLM training and fine-tuning experience
  • Strong ML/AI fundamentals
  • Experience working in fast-moving technical environments
  • Strong engineering ability paired with a research mindset

Nice to have:

  • RLHF / evals / synthetic data experience
  • Distributed systems exposure
  • Publications or open-source contributions
  • Experience at strong AI startups or research labs

Vacancy posted 16 hours ago
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