Research Scientist in NEW YORK CITY METROPOLITAN AREA

Join a Unicorn Startup Pushing the Limits of AI Research

Saragossa is partnered with a well-funded AI startup (recently valued over $2B) on a mission to redefine real-world applications of machine learning and large language models across critical industries like housing and healthcare. With a lean, high-caliber team and a culture of solving meaningful, complex problems, this is a rare opportunity to do cutting-edge research that ships.

The company is hiring both Junior and Senior Research Scientists to join a 10-person, research-led team working on some of the hardest problems in AI today, including agentic workflows, predictive modeling, and generative language systems deployed at scale. You’ll work closely with a world-class Head of Research and tackle a wide range of challenges spanning statistical modeling, infrastructure design, and system optimization.

What You’ll Do:

• Research and develop novel ML/LLM architectures for real-world applications
• Build and optimize predictive models that directly impact millions of users
• Collaborate cross-functionally with engineers, product teams, and leadership
• Translate complex math into deployable, scalable solutions

What We’re Looking For:

• PhD (preferred) in Math, Physics, CS, or a related field
• Deep coding ability (Python preferred), and experience with ML/statistical frameworks
• A track record of solving hard problems, not just publishing them
• Entrepreneurial mindset with the ability to work independently and systematically
• Based in NYC/ Bay area or open to relocating

Why Join:

• Work with some of the brightest minds in AI; no egos, just impact
• Autonomy to own your research and shape the direction of applied ML
• Base compensation $200K+ (junior) / $300K+ (senior) + significant equity
• Full benefits, paid relocation, and a collaborative in-person culture

If you're excited by the idea of building the future of applied AI in a high-impact setting, and not just talking about it, we’d love to hear from you.