ReflectionAI
Member of Technical Staff - Research Software Engineer
New York · Staff+
H1B sponsorship availableDetected 132 days ago
Distributed SystemsAlgorithmsKubernetesMachine LearningPyTorchData EngineeringResearchCommunication
About the role
- This includes RL training loops, distributed GPU systems, and large-scale data pipelines.
- You will work closely with researchers to transform new ideas into reliable, scalable training systems.
- Designing and optimizing large-scale training loops and data pipelines.
Responsibilities
- Reflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on.
- We build open models that let anyone control their intelligence and help shape the future of AI.
- Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.
- Team building: We have regular off-sites, happy hours, and team celebrations.
- Joining Reflection means building from the ground up as part of a talent-dense team.
Requirements
- You have deep experience in at least one of the following: Distributed Training & Inference or Data Infrastructure
Skills
- Distributed data processing frameworks
Compensation
- Salary and equity structured to recognize and retain our talent globally.
- Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.
Benefits
- Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.
- Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.
- Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.
- Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.
- Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.
Company info
- make intelligence open and accessible to all.
- Bridge the gap between research and production by turning cutting-edge algorithms into scalable training systems.
- You will design and optimize the core infrastructure behind frontier AI models - from reinforcement learning training loops and distributed GPU training to massive-scale data pipelines.
- Our systems train models across thousands of GPUs and process petabyte-scale datasets.
- We care deeply about numerical stability, throughput, and reproducibility.
- This team owns and evolves the core infrastructure behind our training systems.
- We focus on:
- Reinforcement learning training infrastructure
- Distributed training and inference systems
- Experiment infrastructure and reproducibility
- Large-scale data pipelines
- The goal is to build the engineering foundation that allows researchers to iterate quickly while training models at massive scale.
- Machine learning algorithms
- Distributed systems
- High-performance computing
- You care deeply about performance, numerical stability, and reproducibility.
- You thrive in high-agency environments and enjoy solving hard technical problems.
Visa & Work Authorization
- We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.
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This listing is sourced directly from ReflectionAI's careers page and normalized into a canonical job model.