Deep expertise in ML with a focus on quantitative research.
Strong grasp of modern ML methods and their mathematical foundations.
Proven ability to design and interpret experimentation results for relevance and significance.
Exceptional programming skills to transition research concepts to scalable solutions.
Experience with ML frameworks like PyTorch or JAX; familiarity with GPU computing is a plus.
Intellectual curiosity and strong research judgment in applying ML advances.
Responsibilities
Develop and evaluate ML models for quantitative research challenges.
Formulate research hypotheses and design experiments to assess performance.
Explore and apply cutting-edge ML research including new model architectures.
Rapidly prototype and benchmark ideas using complex datasets.
Implement efficient solutions to address computational challenges.
Collaborate with researchers to translate concepts into real-world applications.
Benefits
Substantial variable compensation including a year-end bonus guaranteed in the first year.
Sign-on bonus offered.
Comprehensive medical and prescription drug coverage.
401(k) contribution matching program.
Wellness reimbursement available.
Family building benefits included.
Charitable gift matching program offered.
Full Job Description
What you'll do day-to-day
Develop and evaluate ML models and approaches for challenging quantitative research problems.
Formulate research hypotheses and design rigorous experiments to assess predictive performance, robustness, and generalization.
Explore and apply advances in ML research, including new model architectures, representations, training objectives, and learning techniques.
Rapidly prototype, implement, and benchmark promising ideas using large-scale financial and other complex datasets.
Develop efficient implementations and tackle computational challenges-including large-scale training or GPU optimization-where doing so enables more ambitious quantitative research.
Collaborate with quantitative researchers and developers to take successful ideas from initial exploration toward real-world application.
What we're looking for
Bachelor's degree or higher.
Deep expertise in ML and a sound quantitative research orientation, with experience developing and empirically evaluating sophisticated ML approaches.
Solid understanding of modern ML methods and the mathematical and statistical principles underlying them.
Demonstrated ability to formulate hypotheses, design rigorous experiments, interpret results, and distinguish meaningful improvements from noise or overfitting.
Excellent programming skills and the ability to independently take research ideas from concept through scalable implementation.
Proficiency with modern ML frameworks such as PyTorch or JAX; experience with large-scale training, GPU computing, performance optimization, or technologies such as CUDA, XLA, or Triton is valuable for more computationally intensive research.
Intellectual curiosity, keen research judgment, and an interest in applying advances in ML to difficult quantitative problems.
The expected annual base salary for this position is $275,000 to $350,000. Our compensation and benefits package includes substantial variable compensation in the form of a year-end bonus, guaranteed in the first year of hire, a sign-on bonus, and benefits including medical and prescription drug coverage, 401(k) contribution matching, wellness reimbursement, family building benefits, and a charitable gift match program.
