Frontier open intelligence accessible to all. Our team previously built frontier LLMs at labs like DeepMind, OpenAI, and Anthropic.
Frontier open intelligence accessible to all. Our team previously built frontier LLMs at labs like DeepMind, OpenAI, and Anthropic.
Core focus: Autonomous coding agents and research toward superintelligent autonomous systems
Founders: Misha Laskin (CEO) and Ioannis Antonoglou (CTO), both formerly at DeepMind
Employee count (snapshot): 108
Notable product: Coding Agent API (product name cited as Asimov in company profiles)
Developer productivity and autonomous AI research (autonomous coding agents; reinforcement learning + LLM research toward 'superintelligence').
Artificial intelligence / developer tools
$25M
Reported seed led by Sequoia (sources vary on exact timing and participants)
$105M
Reported Series A on Mar 7, 2025
$2B
Some sources report a later financing on Oct 9, 2025 totaling $2B and valuing the company at $8B
| Company |
|---|
 |
 |
 |
 |
 |
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 Data is playing an increasingly crucial role at the frontier of AI innovation. Many of the most meaningful advances in recent years have come not from new architectures, but from better data.
As a member of the Data Team, your mission is to build and operate the ingestion systems that turn the open web and other large-scale data sources into reliable, well-structured corpora for training frontier models. You will own the machinery that acquires, extracts, normalizes, versions, and delivers data to our pre-training pipelines. You’ll work directly with world-class researchers to close the loop between what we collect and how it impacts model performance.
This role is ideal for engineers who love building robust distributed systems, but who also want to run experiments, reason about tradeoffs in data acquisition, and iterate quickly based on measurable impact.
Working closely with our pre-training and data quality teams, you will:
About You
Skills And Qualifications
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.