Join our Quantitative Strategies team in New York Machine learning developers at the D. E. Shaw group work closely with researchers to creatively apply their knowledge of machine learning and software engineering to design, build, and maintain systems for high-performance, large-scale knowledge discovery in financial data. Machine learning developers have the opportunity to be part of an inclusive, collaborative, and engaging working environment. News Library Contact What you’ll do day-to-day Specific responsibilities include designing, implementing, testing, and documenting modules for all stages of the pipeline from data to predictions, assembling these modules into end-to-end systems, and interacting with researchers to achieve highly productive experimentation, model construction, and validation. Who we’re looking for Successful candidates will have a strong knowledge of software engineering, machine learning, and open-source machine learning ecosystems. A track record of building and applying high-performance machine learning systems is desired. While an impressive record of academic achievement is a plus, we welcome outstanding candidates from diverse academic disciplines and backgrounds. The expected annual base salary for this position is $250,000 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, 401k contribution matching, wellness reimbursement, family building benefits, and a charitable gift match program. At the D. E. Shaw group, we believe the diversity of our employees is core to our strength and success. We are committed to supporting our people in work and in life, which is why we offer benefits such as a family planning and surrogacy program and a charitable gift match to all full-time employees. Additionally, our staff-led affinity groups are pillars of our community, helping to celebrate diversity, promote leadership and development opportunities, and facilitate inclusive mentorship. Members and allies organize a wide range of educational and social programming, from expert talks to film festivals.