Research Engineer

PDT Partners; New York (NY); Hybrid; USD 190,000 - 250,000; Full time

Job summary

PDT Partners seeks a Research Engineer to enhance machine learning research through infrastructure development. The role involves collaborating with quantitative researchers, optimizing models for trading systems, and utilizing advanced ML techniques. This hybrid position requires a strong programming background and experience with ML frameworks.

Qualifications

• Experience with building infrastructure for training/fine-tuning large ML models.
• Exceptional programming skills and proficiency in identifying performance bottlenecks.
• Experience with Python scientific stack and DL libraries (PyTorch, TensorFlow).

Responsibilities

• Partner with the research team to build scalable infrastructure for alpha, signal, and portfolio construction.
• Incorporate advancements in ML and high-performance computing to optimize workflows.
• Maintain and develop the internal research stack.

Skills

Building infrastructure for ML models

Problem-solving

Programming skills

Performance optimization

Python scientific stack

Deep Learning libraries

Hardware accelerators

Job description

The Research Engineering team is dedicated to accelerating the velocity of machine learning research and expanding the exploration space for innovations at PDT. We 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:

1. Partner with the research team to understand future research directions and build the next generation of highly scalable infrastructure for alpha, signal, and portfolio construction.
2. Incorporate advancements in machine learning, hardware accelerators, and high-performance computing to optimize research workflows.
3. Maintain, develop, and re-imagine the extensive internal research stack that continues to be a differentiating factor for PDT's business.
4. Optimize models for inference and use in real-time trading systems.

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, TensorFlow, 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.

PRIVACY STATEMENT: For information on how PDT may collect, use, and process your personal information, please see PDT’s privacy notices.

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