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Member of Technical Staff - Research Software Engineer

Reflection AI · New York, NY · San Francisco, CA · London

CHECKED 19H AGO

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At a glance

Highlights

  • Design core infrastructure powering frontier open AI models at massive scale.
  • Build RL training loops and distributed systems across thousands of GPUs.
  • Turn cutting-edge research prototypes into reliable production-grade systems.

What they offer

  • Top-tier compensation with salary and equity
  • Stock options for all contributors
  • Comprehensive medical, dental, vision, life and wellness allowance
  • Lunch and dinner provided in the office daily
  • 22 weeks paid parental leave for all new parents
  • Unlimited PTO in the U.S. and 30 days in the U.K.
  • Visa sponsorship and immigration support
  • Regular off-sites, happy hours and team celebrations

Ideal candidate

Strong software engineer fluent in ML who thrives at the intersection of algorithms, distributed systems and HPC. High-agency problem-solver obsessed with performance, stability and reproducibility.

Requirements

  • Strong software engineer who speaks the language of machine learning
  • Able to implement a research paper
  • Deep experience in Distributed Training & Inference or Data Infrastructure
  • Enjoy working across ML algorithms, distributed systems and HPC
  • Care deeply about performance, numerical stability and reproducibility
  • Thrive in high-agency environments solving hard technical problems
visa sponsorship
Visa sponsorship available with long-term immigration support

Lab profile

About Reflection AI

Research lab making intelligence open and accessible for everyone to use, customize, and build on.

What they build

  • Open foundation models
  • Aligned general agents
  • Enterprise AI deployments

Known for

  • Frontier model pre-training
  • Post-training and alignment
  • Distributed training infrastructure
  • Secure cloud platform foundations
More about Reflection AI →
Apply on the lab’s site ↗