Senior Machine Learning Engineer - Machine Learning Infrastructure
FlipFull Time
Senior (5 to 8 years)
Key technologies and capabilities for this role
Common questions about this position
The salary range is $190,000 - $250,000, which does not include bonus.
This is a hybrid role in New York City requiring a minimum of 3 days per week in the office.
Key requirements include experience building infrastructure for training/fine-tuning large ML models, proficiency with the Python scientific stack and DL libraries like PyTorch and TensorFlow, experience with hardware accelerators, exceptional programming skills for identifying performance bottlenecks, and intellectual curiosity.
The culture is intellectually curious, collaborative, down-to-earth, and diverse, with exceptional employee retention.
Strong candidates demonstrate experience with ML infrastructure for large models, deep knowledge of Python scientific stack and DL libraries, hardware accelerators, exceptional programming skills, and intellectual curiosity for solving difficult problems; prior Quant Finance experience is not required.
Quantitative asset management and algorithmic trading
PDT Partners focuses on quantitative asset management by developing models that identify inefficiencies in financial markets and predict market movements. The firm uses sophisticated trading algorithms that analyze large amounts of market data to find patterns and execute trades accurately. Unlike many competitors, PDT Partners has a long history in algorithmic trading, having been a pioneer in the field since the 1990s. The company serves institutional clients, such as hedge funds and pension funds, helping them optimize their investment strategies through data-driven insights. PDT Partners aims to foster a collaborative environment where its team can continuously explore and innovate, ensuring that all ideas are carefully validated before implementation.