Join a leading fintech company thatâs democratizing finance for all.
Robinhood was founded on a simple idea: that our financial markets should be accessible to all. With customers at the heart of our decisions, Robinhood is lowering barriers and providing greater access to financial information. Together, we are building products and services that help create a financial system everyone can participate in.
As we continue to build...
Weâre seeking curious thinkers looking to co-author the next chapters of our story. Joining now means helping shape our vision, structures and systems; playing a key-role as we launch into our ambitious future.
About the team:
We're looking for a dedicated, ambitious Director to help us launch a brand-new team building innovative products leveraging AI and Machine Learning. This role will be a critical component of the future of Robinhood and youâll work very closely with our existing Data Science and Engineering teams.
The preferred location for this position is in or around Robinhood's offices in Menlo Park, CA or New York, NY, with in-office work capabilities, as may be required by management.
What youâll do day-to-day:
- Deliver high-quality, impactful projects in record time with thoughtful planning.
- Apply technical leadership and expertise to both your team and across data science and engineering.
- Improve the quality of Robinhood's products and engineering by refining metrics and establishing processes for improvement.
- Work with other technical leaders to refine and improve Robinhood's processes and systems for product development.
- Lead an organization of engineers, managers as well as senior and staff data scientists and machine learning engineers. Leading this organization includes setting technical direction and vision, prioritizing projects, and facilitating execution. You will also grow the careers of your team members by providing practical feedback throughout the year.
About you:
- Have a passion for all things Artificial Intelligence and Machine Learning
- Experience working with Large Language Models (LLM) or Generative AI (GenAI)
- Strive to solve sophisticated engineering problems that drive business objectives.
- Technical proficiency to understand and contribute to the design and implementation of projects and ideas.
- Experience with architectural patterns of large, high-scale applications.
- Experience working with leads from engineering, product, operations, and compliance to craft a roadmap and measures of success.
- Proven track record to identify, hire, grow, and retain top talent from the industry and leading graduate programs.
- Several years of experience in leading a world class machine learning team.
- Strong technical skills and ability to architect technical solutions
- Strong written and verbal communication skills
Bonus points:
- Experience in the Finance space
- Experience with Python, Postgres, and Kafka
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. You can view comp zones for our US office locations in the table below. For other locations not listed, compensation can be discussed with your recruiter during the interview process.
Office locations (by comp zone)
US Zone 1: Menlo Park, NYC, Seattle, Washington DC
US Zone 2: Denver, Westlake (Dallas), Chicago
US Zone 3: Lake Mary
Weâre looking for more growth-minded and collaborative people to be a part of our journey in democratizing finance for all. If youâre ready to give 100% in helping us achieve our missionâweâd love to have you apply even if you feel unsure about whether you meet every single requirement in this posting. At Robinhood, we're looking for people invigorated by our mission, values, and drive to change the world, not just those who simply check off all the boxes.
Robinhood promotes diversity and provides equal opportunity for all applicants and employees. We are dedicated to building a company that represents a variety of backgrounds, perspectives, and skills. We believe that the more inclusive we are, the better our work (and work environment) will be for everyone. Additionally, Robinhood provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review Robinhood's Privacy Policy please visit Robinhood - US Applicant Privacy Policy. If you are an applicant located in the UK or EEA, please visit the Robinhood UK/EEA Applicant Privacy Policy.
Click here to learn more about Robinhoodâs Benefits.