Research Scientist / Research Engineer
Actively Hiring
Full-time $100k - $300k Posted 6 days ago
Role overview
We're a newly founded, Y Combinator–backed startup at the frontier of AI training data. Our core thesis: model capability breakthroughs require data breakthroughs. We build "correct by construction" training data for cutting-edge AI models — grounding every data point against formal verification systems rather than relying on slow human annotation or noisy web-scraped text.
We're hiring both Research Scientists and Research Engineers as early team members. You'll work directly with the founders to shape the direction of the company and tackle fundamental problems in AI data quality, large language models, robotics, and AI for science.
Responsibilities
- check_circle Design and build pipelines for generating verifier-grounded training data at scale, using physics simulators, formal proof systems, scientific databases, executable tests, and oracle databases.
- check_circle Develop methods to project fundamental laws of physics, biological facts, and self-consistent logic into natural language data for improved AI reasoning.
- check_circle Conduct original research to advance the state of the art in data quality, data generation, and model training for LLMs, robotics, and scientific AI.
- check_circle Collaborate closely with frontier AI labs and internal teams to understand data needs and translate them into scalable solutions.
- check_circle Publish findings, prototype novel approaches, and iterate rapidly in a small, high-ownership environment.
- check_circle Strong background in machine learning, deep learning, or a related field (PhD or equivalent research experience preferred).
- check_circle Track record of original research contributions — publications, patents, or demonstrable project impact.
- check_circle Experience with LLMs, generative models, robotics learning, or AI for science.
- check_circle Comfort working with formal systems, symbolic reasoning, or verification methods is a strong plus.
- check_circle Strong software engineering fundamentals with hands-on experience building ML systems or data pipelines at scale.
- check_circle Proficiency in Python and modern ML frameworks (e.g. PyTorch, JAX).
- check_circle Experience with simulation environments, physics engines, or formal verification tooling is highly desirable.
- check_circle Ability to translate research ideas into reliable, production-quality systems.
- check_circle Genuine intellectual curiosity and drive to work on hard, open-ended problems.
- check_circle Comfort with ambiguity and a strong bias toward action in an early-stage environment.
- check_circle Must be legally eligible to work in the United States without visa sponsorship.
Benefits
- check_circle Salary: $100,000 – $300,000 USD annually (range reflects both Scientist and Engineer levels and candidate experience)
- check_circle Early-stage equity
- check_circle Benefits package commensurate with a well-funded early-stage startup
Tags & Focus Areas
Fulltime Ai Robotics
About CLERA
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