ML Research Engineer – AI & Deep Learning – NYC / 5 Days in Office – Basic up to $175,000 + Bonus and Benefits ( $300,000 – $600,000 package )

Are you an expert in deep learning, scalable ML systems, and AI research? Do you thrive in a high-performance environment where your work directly impacts real-world applications. We’re seeking a Machine Learning Research Engineer to join a pioneering AI initiative in New York City. This is a 5-day in-office role, offering an incredible opportunity to work with top-tier researchers and engineers tackling cutting-edge deep learning challenges.

What you’ll do:

• Conduct innovative deep learning research for price forecasting
• Develop scalable ML training & inference pipelines for high-performance AI systems
• Enhance deep learning frameworks (JAX, PyTorch, TensorFlow) to push model efficiency
• Collaborate closely with researchers & engineers to integrate ML into critical systems
• Gain deep expertise in AI-driven trading systems

What we’re looking for:

• PhD or equivalent experience in a field related to machine learning
• Strong experience with JAX, PyTorch, or TensorFlow
• Proficiency in Python and handling large-scale data sets
• Strong research background with a track record of AI innovations

Bonus points for:

• Experience with the JAX ecosystem (XLA, Flax, etc.)
• GPU acceleration expertise (CUDA, Triton, Pallas, etc.)
• Contributions to open-source ML projects
• Strong publications in NeurIPS, ICML, or related conferences

Why join?

• High-impact AI research & engineering role
• Competitive compensation + performance-based bonuses
• Global profit-sharing & 401(k) matching
• Work with top-tier professionals in a world-class AI team
• Extensive perks: Office meals, social events, clubs, and more

How do you apply?

If you are interested in applying for the Machine Learning Research Engineer role, please do so via the link on this page or contact Digital Republic by phone or email.

Contact us to find out more:

Get in contact with Digital Republic Talent by sending an email to [email protected]. Check out the website at www.digitalrepublictalent.com. You can also find out more on Linkedin, Instagram or Facebook.