AI Research Scientist

Fionics; New York (NY); On-site; USD 180,000 - 260,000; Full time

Job summary

Fionics in New York is seeking an AI research scientist to join the core alpha-research process. This role sits at the intersection of deep AI research and financial markets, with access to substantial data and resources.

You will tackle foundational ML problems, including pre-training and post-training, with reinforcement learning experience valued. PhD preferred, but exceptional non-PhD candidates are considered. Finance interest is essential.

Qualifications

• Strong foundational machine learning across pre-training and post-training.
• Hands-on and engineering-strong; tested on coding and ML modelling.
• PhD generally preferred, exceptional non-PhD candidates considered.
• Finance experience or clear interest in solving financial problems.

Responsibilities

• Contribute to AI research feeding the firm's alpha engine.
• Tackle hard ML problems with real data and resources behind you.
• Explain work clearly to colleagues across teams.

Skills

Foundational ML

Reinforcement learning

Engineering mindset

Strong communication

Education

PhD preferred

Job description

One of the most respected systematic funds in the world is hiring AI research scientists at the core of its alpha-research process. This is a high-priority build, and the work sits upstream of a large part of what the firm does.

Why it's worth a look

• Your research feeds directly into the firm's alpha engine. Genuine leverage, not a side project.
• You sit on an engineering-heavy team of serious people, working on hard problems with real data and real resources behind you.
• A rare seat where deep AI research and financial markets actually meet, so both sides of your skill set get used.

What we're looking for

• Strong foundational machine learning across pre-training and post-training. Reinforcement learning relevant too
• Hands-on and engineering-strong. You'll be tested on coding and ML modelling, not just theory
• Strong academic pedigree, PhD generally preferred, though exceptional non-PhD candidates are considered
• Finance experience or a clear, genuine interest in solving financial problems. This matters
• Well-rounded and articulate, able to explain your work clearly

Comp: among the strongest in the market for the right person.