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Member of Technical Staff - Pre-Training

Reflection· Research
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San Francisco, CA, London, New York, NYFull-timePosted 11mo ago

About the role

Research staff focusing on scaling large language models, data processing, and training infrastructure with end-to-end contribution from algorithms to model design.

Responsibilities

  • Research and build solutions across algorithms, scaling laws, data processing, optimizers, and model architecture.
  • Design and run scientific experiments to advance understanding of scaling large language models and data efficiency.
  • Implement state-of-the-art methods from the deep learning literature.
  • Lead small research projects independently while collaborating on larger initiatives
  • Optimize the training infrastructure for efficient scaling.
  • Contribute across the entire stack, from low-level optimizations to high-level model design.

Qualifications

  • Graduate degree (MS or PhD) in Computer Science, Machine Learning, or related discipline.
  • Solid software engineering capabilities with experience building large-scale systems.
  • Experience with large-scale ETL workflows and training data preparation.
  • Deep understanding of large-scale ML, especially as it relates to language models, distributed training, and scaling.
  • Proficient in Python and deep learning frameworks (PyTorch preferred).
  • Navigate trade-offs between research objectives and practical engineering realities.
  • Thrive in a fast-paced, high-agency startup environment with bias toward action.
  • Strong communication capabilities and comfort working collaboratively.
  • Passionate about advancing the frontier of intelligence.

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.
  • Meals: Lunch and dinner are provided in the office daily.
  • 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.
  • Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.
  • Team building: Regular off-sites, happy hours, and team celebrations.
Last updated Oct 1, 2026. Interested? Apply on the company site.

About Reflection

Building frontier open intelligence

Building frontier open intelligence.

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