Research Engineer

The Research Engineeringteam is dedicated to accelerating the velocityofmachine learningresearch and expanding the exploration space for innovations at PDT.We partner with PDT’squantitative researchers to design and build astate-of-the-artenvironment for testing ideas rapidly and efficiently.  

Research at PDT requires significant compute, and as such, we are looking for a talented engineerwith in-depth knowledge of MLtechniquesandDLecosystemto help us build the 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 minimum3 days a week. 

Why join us?  

PDT Partners has a stellar 30+ year track recordand 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:  

• 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. 

• Incorporate advancements in machine learning, hardware acceleratorsand high-performancecomputing to optimizeresearch workflows. 

• Maintain, develop, and re-imagine the extensive internal research stack that continues to be a differentiating factor for PDT business.  

• Optimize models for inference and use in real time trading systems. 

Below is a list of skills and experiences we think are relevant. Even if you don’tthink you’rea perfect match, we still encourage you to apply because we are committed to developing our people.

• Experience with building infrastructure for training/fine-tuninglarge ML models. 

• Intellectual curiosity and a strong interest in solving difficult problems. 

• Exceptional programming skillsand proficiencyin identifyingperformance bottlenecks. 

• Experience with the python scientific stack and DL libraries(PyTorch, Tensorflow, etc.) 

• Experience with hardware accelerators. 

• Previousexperience 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 agreed upon salary within the range for a particular candidate include years of experience, level of education obtained, skill set, and other external factors.

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