Machine Learning Engineer Intern, Robinhood
Agentic ML, Summer 2026
$48 - $48 USD per hour
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 per hour
Office located in Menlo Park, CA
1001+ employees
Company mission
To democratize finance for all.
Role
Who you are
- We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact
- 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
What the job involves
- We are building an elite team, applying frontier technologies to the world’s biggest financial problems
- 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
- 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
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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