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Senior Machine Learning Engineer

2 months ago

Old Toronto, Ontario, Canada Robinhood Full time
About Robinhood

Robinhood Markets is a leading fintech company that's democratizing finance for all. Our mission is to create a financial system that's accessible to everyone.

We're seeking a highly skilled Senior Machine Learning Engineer to join our Customer Care team. As a key member of our team, you'll play a pivotal role in shaping the future of our customer experience through cutting-edge generative AI technologies.

Key Responsibilities
  • Design and Develop AI Solutions: Architect, build, and maintain scalable generative AI solutions that enhance our customer care experience, leveraging the latest advancements in LLMs, natural language processing, and machine learning.
  • Collaborate Across Teams: Work closely with the AI team, machine learning platform, product managers, and CX teams to ensure our solutions are integrated seamlessly and align with company goals.
  • Provide Technical Leadership: Provide technical leadership and mentorship to other engineers, fostering a culture of innovation and continuous learning within the team.
  • Ensure Quality and Compliance: Implement rigorous testing, monitoring, and security protocols to ensure our AI solutions are robust, scalable, and compliant with industry standards.
Requirements
  • Technical Expertise: 8+ years of experience in software engineering with a strong focus on chatbot development, generative models, AI/ML, and natural language processing.
  • Cross-functional Collaboration: Proven track record of working effectively across diverse teams and disciplines, with strong communication skills that facilitate seamless integration of AI technologies into broader projects.
  • Leadership: Demonstrated experience in leading engineering projects and mentoring junior engineers, with a passion for fostering a collaborative and innovative team environment.
  • Problem-Solving Skills: Strong analytical and problem-solving abilities, with a track record of tackling complex technical challenges in a fast-paced environment.