Machine Learning Research Engineer – Global Tech-Driven Trading Firm – New York ( Full – time in office role ) – $300,000-$600,000 ( package ) depending on experience + Great benefits 

A leading global market maker, operating across more than 70 exchanges worldwide, is seeking a Machine Learning Research Engineer to contribute to a pioneering AI initiative. This role offered the opportunity to have a significant impact on machine learning research, infrastructure, and large-scale deployment, advancing cutting-edge price forecasting models and futures trading strategies. The successful candidate would join a world-class team of researchers and engineers, working at the forefront of high-performance trading and AI innovation.

What does the role involve?

• Conducting innovative research in deep learning with a focus on price forecasting and market prediction.
• Designing, building, and maintaining scalable training and inference pipelines for deep learning systems.
• Diving deep into the internals of leading open-source frameworks (such as PyTorch, JAX, TensorFlow) and extending their functionality to meet performance demands.
• Collaborating closely with researchers, trading strategists, and engineers to translate ideas into robust, production-ready solutions.
• Developing a comprehensive understanding of trading systems and continuously optimizing model deployment in fast-paced market environments

What the ideal candidate brings:

• A PhD or equivalent industry experience in a field related to machine learning.
• Deep expertise in building and training deep learning models using PyTorch, JAX, or TensorFlow.
• Strong proficiency in Python and experience working with computationally intensive research on large-scale datasets.
• A collaborative mindset and eagerness to solve complex problems in partnership with researchers and engineers.

Preferred additional experience included:

• Experience with the JAX ecosystem (XLA, Flax).
• GPU or accelerator programming (CUDA, Triton, Pallas).
• Contributions to open-source projects in data science or machine learning.
• A strong publication record at conferences such as NeurIPS, ICML, or similar.
• Expertise in the internals of deep learning frameworks.
• Experience with large-scale distributed model training.
• Proficiency in C++ for performance-critical applications.

What does the successful candidate receive?

• The chance to work in a collaborative, intellectually curious environment alongside best-in-class professionals from over 40 countries.
• An opportunity to directly impact critical trading strategies and shape the firm's AI-driven trading capabilities.
• A competitive and rewarding compensation package, including:
  • Participation in a global profit-sharing pool and performance-based bonuses
  • 401(k) match up to 50%
  • 25 paid vacation days plus market holidays
  • Comprehensive health, mental, dental, vision, disability, and life insurance coverage
• Extensive office perks, including daily breakfast, lunch, snacks, regular social events, clubs, and sports leagues.

How do you apply?

If you are interested in applying for the Machine Learning Research Engineer role, please 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 r.manso@digitalrepublictalent.com. Check out the website at www.digitalrepublictalent.com. You can also find more on Linkedin, Instagram or Facebook.