Artificial Intelligence Researcher

Fionics; New York (NY); On-site; USD 180,000 - 250,000; Full time

Job summary

Fionics in New York is hiring an AI research scientist to work at the core of its alpha-research process. The role sits upstream of a large part of the firm's activities and offers exposure to real data and substantial resources.

You will tackle strong ML foundations, reinforcement learning, and engineering challenges; PhD preferred; finance problems to solve; you will be tested on coding and ML modelling and must articulate complex work clearly.

Qualifications

• Strong foundations in machine learning across pre-training and post-training.
• Reinforcement learning relevant experience is a plus.
• PhD generally preferred, exceptional non-PhD candidates considered.

Responsibilities

• Conduct AI research that feeds into the firm's alpha engine.
• Demonstrate coding and ML modelling skills through practical evaluations.

Skills

Foundational ML

Reinforcement learning

Coding proficiency

ML modelling

Communication skills

Education

PhD preferred

Tools

Python

TensorFlow/PyTorch

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.