Research Engineer

The Research Engineering team is dedicated to accelerating thevelocity of machine learningresearch and expanding the exploration space for innovations at PDT. WepartnerwithPDT’s quantitative researchersto design and buildastate-of-the-artenvironmentfor testing ideas rapidly and efficiently.  

Research at PDT requires significantcompute, and as such, we are looking for atalented engineerwith in-depth knowledge of ML techniques andDL ecosystemto help us build the infrastructurecapable 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 atminimum 3 days a week. 

Why join us?  
PDT Partners has a stellar 30+ yeartrack record and a reputation for excellence. Our goal is to be the best quantitative investment manager in the world. PDT’sexceptionalemployee-retention rate speaks for itself. Our people are intellectuallycurious, 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 inmachine learning, hardware acceleratorsandhigh-performance computing tooptimize research 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’t thinkyou’re a perfect match, we still encourage you to apply because we are committed to developing our people.

• Experiencewithbuilding infrastructure for training/fine-tuning large ML models. 

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

• Exceptional programming skills andproficiency inidentifying performance bottlenecks. 

• Experience with thepython scientific stack andDLlibraries (PyTorch,Tensorflow, etc.) 

• Experience with hardware accelerators. 

• Previous experience in Quant Finance isnotrequired. 

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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