Democratize finance for all, particularly with the largest transfer of wealth in human history, by integrating AI technologies to scale empathetic, accurate, and timely customer support at Robinhood
Requirements
- 10+ years of software engineering experience, with significant depth in AI/ML, NLP, and chatbot development.
- A proven track record of working across product and engineering teams to ship impactful, user-facing solutions.
- Experience mentoring and leading other engineers while fostering collaboration and technical growth.
- Strong problem-solving skills and the ability to navigate complex technical challenges in a fast-paced environment.
- Deep interest in generative AI advancements and their application to customer service technologies.
- Familiarity with the financial services industry.
Responsibilities
- Design and implement scalable generative AI solutions that elevate our customer care experience using advanced LLMs, natural language processing, and ML tools.
- Collaborate with AI/ML engineers, PMs, and CX stakeholders to ensure seamless integration of chatbot features across the Robinhood ecosystem.
- Experiment with and prototype new capabilities, driving improvements in response quality, reliability, and personalization.
- Mentor other engineers and contribute to a culture of innovation, learning, and high-impact delivery.
- Champion best practices around testing, monitoring, security, and compliance in all AI initiatives.
Other
- In-person attendance expected at least 3 days per week at the Menlo Park, CA office
- Education and training (not specified, but implied as a factor in base pay)
- Location (base pay varies by location, with different compensation zones)
- Business needs and market demands (factors in base pay determination)
- Travel not mentioned, but relocation to Menlo Park, CA may be required
