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 mission of the Applied Machine Learning team is to develop scalable, data- and model-driven solutions that enhance decision-making across Robinhood. We focus on personalizing user experiences, helping customers discover and engage with the most valuable products and features. To empower ML adoption company-wide, we’re also building accessible model development tools that democratize machine learning at Robinhood.
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 ML Models: Work on early-stage ranking, recommendation, and personalization models using techniques like collaborative filtering, content-based filtering, or learning-to-rank approaches.
- Experimentation & Evaluation: Assist in setting up and analyzing A/B tests and offline experiments to evaluate the effectiveness of ML algorithms.
- Explore and Analyze Data: Dive into rich datasets to extract signals and support data-driven feature engineering and model tuning.
- Collaborate Cross-Functionally: Work with engineers, data scientists, and product managers to understand business needs and help integrate ML into real product use cases.
- Contribute to Internal Tools: Help improve model development tools, document findings, and support reusable libraries that enable broader adoption of ML practices.
- 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 machine learning principles, algorithms, and data structures.
- Familiarity with Python and basic ML frameworks (e.g., scikit-learn, PyTorch, or TensorFlow).
- Interest in recommendation systems, personalization, or reinforcement learning.
- Enthusiasm for working with large datasets and running experiments to learn what works.
- A collaborative mindset and strong communication skills.
- Market competitive compensation structure
- Quarterly lifestyle wallet for personal wellness, learning and development, and more!
- Time away including company holidays, paid time off, and sick time!
- Lively office environment with catered meals, fully stocked kitchens, and geo-specific commuter benefits
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.
Similar Jobs
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.
Gallery
