OVERVIEW:
The D. E. Shaw group seeks a senior engineer with a deep interest in artificial intelligence (AI) to help lead its Human Capital (HC) team’s AI initiatives. This individual will play a central role in guiding the development and implementation of AI solutions that enhance the firm’s approach to attracting, assessing, and developing talent. The position offers the opportunity to lead strategic initiatives at the intersection of technology, people strategy, and product innovation, collaborating with colleagues across HC, product management, and software engineering.
WHAT YOU'LL DO DAY-TO-DAY:
- Collaborate with internal stakeholders to identify where AI can transform work, translating business needs into practical, well-scoped solutions.
- Own the design and delivery of prototype solutions for high-impact use cases using Python.
- Drive integration of AI features across product and engineering teams, aligning with the firm's technical architecture and governance standards.
- Lead the evaluation and continuous refinement of AI tools by gathering feedback, monitoring outcomes, and recommending improvements.
- Set the team's point of view on the evolving AI landscape, guiding strategic and tactical decisions on new models, tooling, and best practices.
- Mentor and guide junior team members, setting technical direction and fostering a culture of learning.
WHAT WE’RE LOOKING FOR:
- A bachelor’s degree and at least six years of experience in human capital, data science, or technology development, with exposure to AI technologies; managerial experience is preferred.
- Demonstrated fluency in Python, sound data fluency, and familiarity with LLMs and AI tools, including prompt design, Cursor, and Claude Code, as well as concepts like RAG and agentic architectures.
- Solid knowledge of statistical methods; experience in social science research methods is preferred.
- Proven ability to operate effectively in ambiguous environments, manage multiple workstreams, navigate cross-functional dependencies, and drive work forward with speed and ownership.
- Excellent organizational, interpersonal, and written communication skills, with a collaborative and proactive approach to problem-solving.
- Demonstrated ability to translate business needs into practical AI-driven solutions, influence stakeholders, and communicate effectively with both technical and non-technical audiences.
- The expected annual base salary for this position is $175,000 to $250,000. Our compensation and benefits package includes variable compensation in the form of a year-end bonus, guaranteed in the first year of hire, and benefits including medical and prescription drug coverage, 401(k) contribution matching, wellness reimbursement, family building benefits, and a charitable gift match program.
Please note that this post is not an application. Please navigate to our website to apply: https://www.deshaw.com/recruit/jobs/Ads/BuiltIn/AISpecHCMar26
The D. E. Shaw group is an equal opportunity employer.
Skills Required
- Bachelor’s degree
- At least six years of experience in human capital, data science, or technology development
- Experience with AI technologies
- Fluency in Python
- Data fluency
- Familiarity with LLMs and AI tools
- Experience with prompt design, Cursor, and Claude Code
- Knowledge of RAG and agentic architectures
- Knowledge of statistical methods
- Experience with social science research methods
- Managerial experience
- Ability to manage multiple workstreams and cross-functional dependencies
- Excellent organizational, interpersonal, and written communication skills
- Ability to translate business needs into practical AI-driven solutions
The D. E. Shaw Group Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about The D. E. Shaw Group and has not been reviewed or approved by The D. E. Shaw Group.
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Fair & Transparent Compensation — Pay is consistently characterized as very competitive and often above industry benchmarks, with strong packages cited for both interns and early-career roles. Compensation is also framed as favorable versus several large tech firms for certain levels and geographies.
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Strong & Reliable Incentives — Incentives are described as a structured mix of base salary, variable performance bonus tied to individual and firm outcomes, and a guaranteed long-term incentive paid out over multiple years. Cash-heavy compensation is presented as attractive for immediacy and certainty relative to equity-heavy alternatives.
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Parental & Family Support — Family-related benefits are described as robust, including pregnancy and postpartum support, fertility/adoption/surrogacy assistance, paid parental leave, and childcare benefits. These offerings are repeatedly positioned as a standout part of the overall rewards package.
The D. E. Shaw Group Insights
What We Do
The D. E. Shaw group is trusted by investors across the world to manage their assets by seeking the optimal balance of risk and reward. While we’re known as a pioneer in quantitative investing, we also have considerable expertise in areas that involve fundamental analysis or portfolio manager discretion. We use a combination of quantitative and qualitative tools to uncover independent, hard-to-find sources of return across global public and private markets. Founded in 1988 over a small bookstore in downtown New York City, the D. E. Shaw group began with six employees and $28 million in capital and quickly became a pioneer in computational finance. In the early days of exposed pipes and extension cords, tripping on a cable could take out our whole trading system. Today, the firm has more than 2,500 people around the globe and an institutional-grade (and trip-proof) infrastructure, but we still value creativity, entrepreneurship, and the spirit of discovery. If you’re an intellectually adventurous person who loves to collaborate on challenging and rewarding projects, we encourage you to apply. Visit our Careers page at https://www.deshaw.com/careers to learn more.
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