Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading.
We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards.
The Agentic team at Robinhood is building the foundation for AI agents that power the next generation of AI financial products and internal tools. Our mission is to empower teams across the company to rapidly build, evaluate, and deploy high-performance AI agents through intuitive tooling, production-grade infrastructure, and continuous optimization support. We’re creating a platform that makes it easy for engineers to experiment, ship, and scale agents reliably.
We’re looking for a passionate and curious Machine Learning Intern to join us in advancing this mission and learning alongside a world-class team of ML engineers.
This role is based in our Menlo Park, CA office, with in-person attendance expected at least 3 days per week.
At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams.
What You’ll Do- Build and prototype tools and workflows for agent development that support rapid prototyping—define agents, compose toolchains, and construct reasoning loops with minimal overhead.
- Assist in building platform solutions to support scalable experimentation, synthetic dataset generation, and multi-agent evaluation across diverse tasks and domains.
- Maintain feedback and optimization pipelines that incorporate both automated metrics and human-in-the-loop evaluation signals to fine-tune agent behavior.
- Support fine-tuned models in production environments with robust evaluation, rollback strategies, and performance monitoring.
- Collaborate closely with applied AI/ML teams to translate state-of-the-art research in agentic reasoning, planning, and tool use into reliable, production-ready systems.
- Pursuing a degree in Computer Science, Data Science, Statistics, Engineering, or a related technical field, with an expected graduation date in Winter 2026 or Spring 2027.
- Solid foundation in software engineering, machine learning principles, algorithms, and data structures.
- Familiarity with Python and basic ML frameworks (e.g., scikit-learn, PyTorch, or TensorFlow).
- Interest in building agentic systems and large language models.
- A collaborative mindset and strong communication skills.
Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected hourly range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. For other locations not listed, compensation can be discussed with your recruiter during the interview process.
Click here to learn more about our Total Rewards, which vary by region and entity.
If our mission energizes you and you’re ready to build the future of finance, we look forward to seeing your application.
Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work—welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the Privacy Policy for your country of application.
Top Skills
What We Do
Robinhood was founded on a simple idea—that our financial markets should be accessible to all. In an industry where barriers have prevailed for too long, this hasn’t always been easy. We’re leveling the playing field by making trading more intuitive, more affordable, and more inclusive to ensure that everyone, regardless of wealth or industry knowledge, feels empowered to participate in the financial system.
Full Disclosures: rbnhd.co/social_media_disclosures
Why Work With Us
Robinhood looks to hire employees who embody a high-growth mindset, set ambitious goals, make decisions independently, and who show up as accountable. The work moves fast, and resilience is key. Maintaining grit, perseverance, and self-motivation are critical to an employee's success at Robinhood, but so is staying humble and sharing credit.
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