Clera
Research Scientist / Research Engineer
San Francisco · Full-time
No sponsorship$100k-$300kDetected 3 days ago
PythonMachine LearningDeep LearningPyTorchData EngineeringLLMsRecruitingRoboticsResearchCollaboration
About the role
- 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're hiring both Research Scientists and Research Engineers as early team members.
Responsibilities
- 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.
- Develop methods to project fundamental laws of physics, biological facts, and self-consistent logic into natural language data for improved AI reasoning.
- Collaborate closely with frontier AI labs and internal teams to understand data needs and translate them into scalable solutions.
- Strong software engineering fundamentals with hands-on experience building ML systems or data pipelines at scale.
Requirements
- Proficiency in Python and modern ML frameworks (e.g. PyTorch, JAX).
- Experience with simulation environments, physics engines, or formal verification tooling is highly desirable.
- Ability to translate research ideas into reliable, production-quality systems.
- Comfort with ambiguity and a strong bias toward action in an early-stage environment.
- Must be legally eligible to work in the United States without visa sponsorship.
Nice to have
- Track record of original research contributions - publications, patents, or demonstrable project impact.
- Comfort working with formal systems, symbolic reasoning, or verification methods is a strong plus.
Compensation
- Salary: $100,000 - $300,000 USD annually (range reflects both Scientist and Engineer levels and candidate experience)
Benefits
- Strong background in machine learning, deep learning, or a related field (PhD or equivalent research experience preferred).
- Experience with LLMs, generative models, robotics learning, or AI for science.
- Early-stage equity
- Benefits package commensurate with a well-funded early-stage startup
Company info
- 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.
Visa & Work Authorization
- Must be legally eligible to work in the United States without visa sponsorship.
This listing is sourced directly from Clera's careers page and normalized into a canonical job model.