Director of Engineering – Recommendations Jobs in San Francisco, CA at Twitch
Title: Director of Engineering – Recommendations
Location: San Francisco, CA
Salary: $150K – $200K*
About the Role
Twitch is looking for a Director of Engineering – Recommendations to lead our recommendations platform team. As the Director, you will lead the development of next-generation recommendation systems using state of the art in machine learning (ML), with a world class team of engineers and scientists. You will use your experience running effective organizations and scalable processes to help scale your team, and ensure that large projects with complex components are delivered with high-quality. You will work cross-team with product and program leadership, and will see your work used to power discovery products across Twitch. You will work towards helping Twitch viewers and content creators build thriving communities, by allowing viewers to find relevant content and helping creators get discovered.
Lead an engineering team to achieve quality software with accurate timelines
Develop engineers and scientists with a focus on both technical development and positive team culture
Participate in road-mapping, goal setting and regular reporting of progress
Design solutions to alleviate customer pain points
2+ years as an Engineering/Science Manager in a fast paced company.
6+ years of overall technical experience, including deep technical knowledge of data centric production systems or ML/analytics projects
Demonstrated team building skills – ability to hire and develop staff members, and to bring people together
Experience with data centric production systems or with ML/analytics projects
Experience delivering systems or products with a focus on quality and customer satisfaction
Ability to explain technical concepts to senior leadership and to non-technical audiences
5+ years of people management experience including managing managers
Advanced degree in Computer Science, Machine Learning, Statistics, or a related field
Advanced knowledge of AWS and big data analytics technologies
Deep knowledge of recommendation algorithms and systems.