Back

Member of Technical Staff - Pre-Training

Reflection AIReflection AI·Artificial Intelligence

Apply effort

~7 min

Ashby

Posted

251 days

01

About the role

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.

  • 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.

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.

02

Aplyr's read

Reflection AI leverages artificial intelligence to foster personal and professional growth, attracting talent passionate about innovation in reflective practices.

Synthesized from recent postings & public sources

What's promising

  • Focuses on AI-driven reflective practices, a niche with growing demand.
  • Recent hiring in diverse roles indicates robust growth and expansion.
  • Commitment to privacy and compliance is evident with dedicated legal roles.

What to watch

  • Limited public information about company culture and work-life balance.
  • High specialization may limit appeal to broader tech talent pool.
  • Potential challenges in scaling reflective AI solutions globally.

Why Reflection AI

  • Specializes in AI for personal and professional growth through reflection.
  • Diverse roles suggest a multidisciplinary approach to AI development.
  • Emphasis on sovereign engagement indicates focus on regional markets.

Aplyr’s read is generated by AI from public sources. Was it useful?

03

About Reflection AI

Reflection is a company focused on harnessing artificial intelligence to enhance personal and professional growth through reflective practices.

04

Similar roles