Trainee Fintech Software Engineer Jobs in California

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. We're looking for an exceptional Software Engineer to help shape the future of our core platforms, products, and customer experiences. FinTech is one of the most complex and rapidly evolving spaces in technology, and the challenges we're tackling require deep innovation, critical thinking, and scale that don't always have strong precedents. 

You'll take on a highly influential role shaping vision and execution across key strategic initiatives. You'll partner with cross-functional leaders, contribute to high-impact decisions, guide complex projects from concept to completion, and mentor others on the team. This is a role for someone who leverages modern tools and cutting-edge methodologies as a core part of how they solve problems, and raises the bar for everyone around them.

This role is based in our Menlo Park, CA, with in-person attendance expected at least three 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. 

Build, test, and release product-facing features with stringent correctness and scalability requirements. Design, develop, and maintain machine learning models and AI-powered services that support product features and decision-making systems. Implement end-to-end ML pipelines, including data ingestion, feature engineering, model training, evaluation, and deployment. Collaborate with product, data, and engineering teams to translate business problems into machine learning solutions. Own ML components throughout their full lifecycle, including experimentation, implementation, deployment, production monitoring, and iteration. Improve model performance, reliability, and scalability through experimentation, validation, and optimization. Integrate ML models into production systems, ensuring low-latency inference and reliable service operation. Monitor model performance and data quality in production, and participate in debugging, incident response, and remediation efforts. Apply software engineering best practices to ML codebases, including testing, code reviews, documentation, and version control. Ensure ML systems adhere to security, privacy, and compliance requirements when handling sensitive data. Document model designs, assumptions, evaluation results,
and operational considerations to support maintainability and knowledge sharing. Telecommuting permitted.

• Bachelor's degree in Computer Science, Computer Engineering, Software Engineer or a related field (or foreign equivalent) and 3 years of experience in the job offered or related occupation.
• Education and/or experience must include:
• Python, Java, Scala, or GoLang;
• Machine learning frameworks;
• Data processing frameworks;
• Feature engineering tools;
• Supervised and unsupervised learning techniques;
• ML pipeline and deployment tools; and
• Model monitoring tools. 
• Background checks required

• Challenging, high-impact work to grow your career
• Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching
• Best in class benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents
• Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more
• Employer-paid life & disability insurance, fertility benefits, and mental health benefits
• Time off to recharge including company holidays, paid time off, sick time, parental leave, and more!
• Exceptional office experience with catered meals, events, and comfortable workspaces.

In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + 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 base pay range for this role is based on the location where the work will be performed and is aligned to the corresponding compensation zone. 

Base Pay Range:

$161,637 - $200,000 per year

To Apply: Apply by clicking APPLY NOW. Indicate job code AIML4AMPI4 in your application.