Senior Machine Learning Engineering Manager, Tubi

• 7+ years of experience in machine learning engineering with production systems using Python, Scala, & Apache Spark
• 2+ years of experience leading/managing a team of machine learning engineers
• Experience owning large-scale, realtime recommendation or search models
• MSc or PhD in Computer Science, Statistics, Applied Mathematics, Physics or related field. PhD preferred

• Machine Learning at Tubi drives personalization and recommendation across the app. In this role, you will lead the team that owns both the Search and Content Understanding initiatives.
• You'll have the opportunity to work with cutting-edge deep learning and LLM technologies to drive the next generation of content-aware recommendation.
• The tech stack you and your team will be working with is Spark, Scala, Python, and Tensorflow
• Empower your team to achieve a high level of technical productivity, reliability, and simplicity
• You and your team will:
• Own search end-to-end, including R&D, prototyping, data pipelines, production models, and experimentation
• Drive content understanding data products from R&D, prototyping, data pipelines, and production models using both LLMs and classical embedding techniques
• Partner closely with teams across the company to propose and drive integrations of content understanding with applications including content ranking, cold starting, content acquisition, advertising, and more
• Partner closely with ML Infra, Data Engineering, Data Science, Product, and other machine learning teams to create and maintain cross-functional roadmaps
• Help the machine learning engineers on your team advance in their careers and grow through 1:1s and mentoring
• Partner with Tubi’s Talent Acquisition team to attract and hire top-tier engineering talent

• Healthcare Coverage: We offer medical, dental, and vision coverage, effective from day one
• Family Support: We’re proud to support families of all kinds, and offer generous parental leave, childcare support, and eldercare assistance whenever you need it
• Wellness Programs: Monthly wellness reimbursement, generous time off, and additional Tubi Holidays help us support mental and physical wellbeing for you and your family
• Continuing Education: From education reimbursement to leadership development to certification support, we’re invested in developing our talent so you can take your career to the next level
• Financial Support: We offer resources to help keep you financially fit and invested in your future, from our highly-rated retirement savings matches to financial advisors and planning services

Total funding: $75.6m

Tubi is a streaming service that was founded in 2014 with the mission of offering subscribers premium television and movies for free. To achieve this, the streaming service relies on ad revenue to support its extensive content library. Rather than focusing on producing original content, Tubi emphasizes acquiring the right to preexisting shows and movies.