Senior Research Scientist - Series E AI Startup
Listed on 2026-06-12
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Research/Development
Data Scientist, Artificial Intelligence -
IT/Tech
Data Scientist, Artificial Intelligence, AI Engineer (Applied/Software)
Location: New York
Overview
Looking to apply world-class research to some of the most challenging problems in modern AI?
A well-funded, venture-backed AI company is hiring a Senior Research Scientist to help advance the next generation of machine learning and large language model systems powering mission-critical workflows across large, real-world industries.
The company recently completed a $250M Series E financing led by a top-tier venture capital firm and is rapidly expanding its research organization. Its AI systems are deployed in production at scale, automating complex workflows and generating millions of interactions across industries that impact people's everyday lives.
Role & ResponsibilitiesIn this role, you'll own end-to-end research initiatives focused on advancing the company's core AI capabilities. You'll identify open research questions, design and execute large-scale experiments, develop novel approaches in machine learning and LLMs, and work closely with engineering and product teams to bring research breakthroughs into production. You'll have the opportunity to influence both technical direction and the broader research agenda while helping mentor and elevate other researchers on the team.
Qualifications- A PhD in Computer Science, Physics, Mathematics, or a related quantitative field
- 5+ years of post-PhD experience in industry or academia, or experience operating at a Senior Research Scientist level
- A research or publication track record
- Expertise in large language models, machine learning, statistical modeling, or optimization
- Programming skills in Python and modern ML frameworks
Compensation:
Up to $350,000 base salary + equity + comprehensive benefits.
Location:
New York City (4 days/week onsite)
If you're interested in shaping research direction, solving difficult AI problems, and seeing your work deployed at scale, let's talk!
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