Salary
💰 $145,600 - $270,400 per year
About the role
- Support, build and scale the personalization and search platforms for the global streaming app Max as well as ongoing and future streaming initiatives
- Work in a team of machine engineers and applied researchers contributing to a system that serves 100+ million users worldwide
- Architect and develop robust engineering solutions that utilize machine learning models and algorithms to support personalization's
- Manage project priorities and ensure timely delivery
- Build and lead a world-class team of machine learning and full stack engineers
- Be a hands-on leader and mentor the team in the latest machine learning technologies and processes
- Partner closely with business and data science leadership for opportunity sizing and prioritizing product capabilities
- Partner closely with platform and infra teams to build robust fault tolerant solutions and accelerate the learning cycle
- Partner closely with downstream application teams to develop a flexible and resilient interface between ML products and downstream applications
- Partner closely with the ML Platform team to build flexible and resilient interfaces for training, serving and feature needs for personalization products
- Develop ML Systems roadmap in partnership with Data Science teams, and educate both internal and external stakeholders at all levels to drive resourcing and implementation
- Develop and evangelize engineering best practices for scoping, building, validating, deploying, and monitoring ML/AI products
Requirements
- Technical education in Computer Science, Information Science, Engineering, or equivalent experience (Masters degree or higher preferred)
- 8+ years of work experience in developing engineering solutions for Machine Learning and Data Science applications with a proven track record to drive innovation and business impacts
- 2+ years leading and growing high performance engineering teams
- Familiarity with the practical aspects of machine learning is required
- Proficient in both Python and OOP languages including GoLang, Java or C++
- Experience with Agile methodologies preferred
- Experience in deploying complex and large scale machine learning algorithms and advanced modeling solutions
- Self-starter and self-motivated with the proven ability to deliver results in a fast-paced, high-energy environment
- Strong communication skills and the ability to explain complex engineering systems to non-technical audience
- Works effectively with cross functional teams to build trusted partnership
- Experience with recommender/search/ad serving algorithms and systems is a plus