Member of Technical Staff - Research Software Engineer
Reflection AI · New York, NY · San Francisco, CA · London
CHECKED 19H AGO
Frontier labonsite
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