Machine Learning Engineer Intern, Robinhood
Applied ML - Summer 2026
$48 - $48 USD p/hr
Office located in Menlo Park, CA
Commission-free stock trading platform
Be an early applicant
Commission-free stock trading platform
1001+ employees
Be an early applicant
$48 - $48 USD p/hr
Office located in Menlo Park, CA
1001+ employees
Company mission
To democratize finance for all.
Role
Who you are
- 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
What the job involves
- 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
- 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
Our take
For years, traditional brokers ruled the share trading realm, charging hefty fees that locked out everyday investors. Robinhood emerged as a disruptor, offering commission-free trading and opening the door to a new generation. Its innovative model thrives on premium features like increased buying power and extended trading hours, attracting a younger audience drawn to meme stocks like AMC and GameStop.
But Robinhood's not just about quick thrills. The company claims its mission lies in catering to "the unmet needs of the next generation," evidenced by its "Robinhood Retirement" launch, targeting gig-economy workers often excluded from financial planning. This commitment to accessibility aligns with its core values.
However, 2023 brought unexpected turbulence, as Robinhood became entangled in the FTX cryptocurrency exchange bankruptcy scandal when it emerged that the US Department of Justice seized hundreds of millions of dollars of the company's shares tied to FTX founder Bankman-Fried. Despite these challenges, Robinhood successfully bought back the missing stock, and its impact on democratizing finance remains undeniable.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 13 rounds)
Feb 2021
$2.4bn
CONVERTIBLE
Jan 2021
$1bn
LATE VC
Total funding: $5.6bn
Company benefits
- Well-being - Premium medical, dental, and vision insurance
- Family & home life - Parental leave, personal prosperity benefits
- Comfort & care - Annual lifestyle stipend
- Office life - Catered meals and fully stocked kitchen, commuter benefits
- Growth - Education and training, community events, career mentorships
Company HQ
Downtown Menlo Park, Menlo Park, CA
Leadership
Vlad Tenev
(Co-Founder)Studied Mathematics at Stanford University, where they met their fellow co-founder. Dropped out of a PhD to start Robinhood.
Baiju B.
(Co-Founder)Studied Mathematics and Physics at Stanford University, where they met their fellow co-founder.
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