Machine Learning Researcher - Internship (for PhD candidates)

Key Skills

Deep Learning, JAX framework, Machine learning techniques, PyTorch, Teamwork

Job Description

You will be responsible for performing large scale data analysis to derive statistically significant models of market behavior. These predictions are used to inform all of our trading, and any improvement will have a high and immediate impact across the office. You will also be part of the team shaping the future directions of delta one research inside IMC.

You will work as part of an established and growing research team, collaborating closely with traders, software and hardware developers to find improvements to our models and see them impact our production results. IMC competes and wins as a team, with open idea sharing and collaboration across disciplines, desks and offices.

• You thrive working on meaningful and challenging projects?
• You want to make an impact in an environment where creativity, teamwork, and innovation are recognized and rewarded?
• You’re super ambitious, and eager to secure a graduate position before graduating?

.. then this is the right internship for you!

Core Responsibilities:

• Leverage deep learning techniques to improve prediction quality in a trading context
• Collaborate with engineers and traders, to help ensure the research is crafted and used to maximum effect
• Develop and improve sampling, weighting, cost, target, hyperparameters and network architecture to suit a range of problems and data presentations
• Push the team forward, by keeping abreast of the latest developments in industry and academia, and tackling some of the hardest problems we have in the quant space
• Apply understanding of distributed computing, and how to align training hardware and approach to rapidly achieve strong results on very large datasets

Skills and Experience:

• PhD candidates/graduates from top universities, with specialization in machine learning, statistics, deep learning, probabilistic programming
• Strong experience in at least one mainstream deep learning framework (PyTorch, Jax or other)
• Thorough understanding of the strengths & weaknesses of deep learning architectures
• Preferred Profiles: candidates nearing completion of their studies, candidates with publications in respected journals in deep learning, GNNs, time-series models

What to expect:

• Delve into the trading landscape during a week of classroom-based training
• Hone your machine learning skills by working on a concrete project, working with cutting edge techniques
• Enjoy the support of a dedicated mentor and build a valuable network of IMC researchers, traders and engineers
• Experience IMC’s unique culture, joining regular social events, a day of and participating in charity work
• Benefit from a highly competitive compensation package, with accommodation included
• Start your internship in Amsterdam, and finalize it in Sydney!

About Us

IMC is a leading trading firm, known worldwide for our advanced, low-latency technology and world-class execution capabilities. Over the past 30 years, we’ve been a stabilizing force in the financial markets – providing the essential liquidity our counterparties depend on. Across offices in the US, Europe, and Asia Pacific, our talented employees are united by our entrepreneurial spirit, exceptional culture, and commitment to giving back. It's a strong foundation that allows us to grow and add new capabilities, year after year. From entering dynamic new markets, to developing a state-of-the-art research environment and diversifying our trading strategies, we dare to imagine what could be and work together to make it happen.