Member of Technical Staff - Pre-Training

B Capital; San Francisco (CA); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Top-tier compensation

Comprehensive medical, dental, vision, life, and disability insurance

Fully paid parental leave

Paid time off

Daily provided lunch and dinner

Job summary

B Capital in San Francisco is seeking talented individuals for AI research roles focused on open superintelligence. Candidates will research and build solutions across algorithms and contribute to the development of foundational models.

The ideal candidate will hold a graduate degree in Computer Science or a related field, possess solid software engineering skills, and have experience with large-scale systems. The position offers top-tier compensation and comprehensive benefits.

Qualifications

• Graduate degree 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.

Responsibilities

• Research and build solutions across algorithms and model architecture.
• Design and run scientific experiments to advance understanding of language models.
• Implement state-of-the-art methods from the deep learning literature.
• Optimize the training infrastructure for efficient scaling.

Skills

Software engineering

Machine Learning

Data processing

Large-scale systems

Education

Graduate degree (MS or PhD) in Computer Science or related discipline

Job description

Location

SF, NYC, London

Employment Type

Full time

Location Type

On-site

Department

Engineering

Our Mission

Reflection’s mission is to build open superintelligence and make it accessible to all.

We’re developing open weight models for individuals, agents, enterprises, and even nation states. Our team of AI researchers and company builders come from DeepMind, OpenAI, Google Brain, Meta, Character.AI, Anthropic and beyond.

About the Role

• Research and build solutions across algorithms, scaling laws, data processing, optimizers, and model architecture.
• Design and run scientific experiments to advance our 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.

About You

• 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.

  What We Offer

  We believe that to build superintelligence that is truly open, you need to start at the foundation. Joining Reflection means building from the ground up as part of a small talent-dense team. You will help define our future as a company, and help define the frontier of open foundational models.

  We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.

  • Top-tier compensation: Salary and equity structured to recognize and retain the best talent globally.
  • Health & wellness: Comprehensive medical, dental, vision, life, and disability insurance.
  • Life & family: Fully paid parental leave for all new parents, including adoptive and surrogate journeys. Financial support for family planning.
  • Benefits & balance: paid time off when you need it, relocation support, and more perks that optimize your time.
  • Opportunities to connect with teammates: lunch and dinner are provided daily. We have regular off-sites and team celebrations.