Member of Technical Staff - Pre-Training

Reflection AI
San Francisco, New York, London
Workplace: OnsiteFull timeFunction: Education & TrainingEducation: mastersSkills: ["Communication","Collaboration","Bias toward action"]

Research and build scalable ML solutions for large language models, focusing on algorithms, scaling laws, data processing, optimizers, and model architecture. Design experiments to probe data efficiency and training infrastructure to enable efficient large-scale training, contributing across the stack from low-level optimizations to high-level model design.

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FursaFursa
Reflection AI
Reflection AI
11 months ago

Member of Technical Staff - Pre-Training

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Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live

Job Summary

Research and build scalable ML solutions for large language models, focusing on algorithms, scaling laws, data processing, optimizers, and model architecture. Design experiments to probe data efficiency and training infrastructure to enable efficient large-scale training, contributing across the stack from low-level optimizations to high-level model design.
Location: San Francisco, New York, London
Workplace: Onsite
Employment Type: Full time
Job Function: Education & Training

Key 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.

Pay and Benefits

Perks:Health InsuranceWellness StipendParental LeaveRelocation

Key Requirements

  • •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).
Experience:AIMachine learningOpen models
Education:Master's
Skills:CommunicationCollaborationBias toward action
Tech Stack:PythonPyTorchETLDistributed training

Company Brief

Reflection AI
Builds frontier autonomous AI systems focused on autonomous coding agents (product: Asimov) to create organizational superintelligence, founded by former DeepMind/Google researchers and hiring across SF, NYC, London.
Industry: AI & Machine Learning
Company Size: Small (11 to 50 employees)
Growth: Growth Stage Startup
Funding: Series A
Headquarters: San Francisco, United States
Founded: 2024
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