Research Engineer

The Research Engineering team is dedicated to accelerating the velocity of machine learning research and expanding the exploration space for innovations  partner with PDT’s quantitative researchers to design and build a state-of-the-art environment for testing ideas rapidly and efficiently.

Research at PDT requires significant compute, and as such, we are looking for a talented engineer with in-depth knowledge of ML techniques and the DL ecosystem to help us build infrastructure capable of supporting complex scientific research at scale.

This is a hybrid position and will require the person to work from our New York City office at minimum 3 days a week.

Why join us?
PDT Partners has a stellar 30+ year track record and a reputation for excellence. Our goal is to be the best quantitative investment manager in the world. PDT’s exceptional employee-retention rate speaks for itself. Our people are intellectually curious, collaborative, down-to-earth, and diverse.

Responsibilities:

Skills and experiences we value:

• Experience with building infrastructure for training/fine-tuning large ML models.
• Intellectual curiosity and a strong interest in solving difficult problems.
• Exceptional programming skills and proficiency in identifying performance bottlenecks.
• Experience with the Python scientific stack and DL libraries (PyTorch, Tensor Flow, etc.).
• Experience with hardware accelerators.
• Previous experience in Quant Finance is not required.

The salary range for this role is between $190,000 and $250,000.
This range is not inclusive of any potential bonus amounts
. Factors that may impact the salary include years of experience, education level, skill set, and other external factors.

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