T
Tubi
Staff & Principal Machine Learning Engineer
Skills
Data MiningData ScienceMachine Learning
2 months ago
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Important information
Contract type:
Permanent
Salary:
$239,000 – $417,000 / year
Location:
San Francisco, CA, USA
Work mode:
Onsite
Published on:
29 August 2026
What they need
- We are seeking a highly skilled Machine Learning Engineer to contribute to transformative projects in video personalization
- In this role, you will design and implement advanced algorithms and systems to improve our personalization strategy
- As a senior technical expert, you will tackle complex problems in machine learning at scale, collaborating closely with cross-functional teams to develop and optimize machine learning-driven solutions
- Lead the design, development, and implementation of advanced recommendation systems and algorithms for a global audience
- Conduct deep dives into algorithmic components and systems, ensuring that models are optimized for both performance and scalability across multiple regions and product areas
- Build and deploy high-impact robust ML pipelines, including data extraction, feature development, model training, testing, and deployment
- Continuously monitor, evaluate, and optimize the performance of deployed models, ensuring they meet business goals and provide high-quality user experiences
- Work closely with Product, Engineering, and Data Science teams to align on product requirements, set expectations, and deliver machine learning-driven solutions that improve user engagement
Benefits
- Healthcare Coverage: We offer medical, dental, and vision coverage, effective from day one.
- Competitive Compensation.
- 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.- Experience with deep learning technologies for recommendation systems, including TensorFlow, PyTorch, or similar frameworks
- 8+ years of industry experience building production Machine Learning systems
- Solid understanding of statistical concepts such as hypothesis testing, regression analysis, and performance evaluation metrics for machine learning
- Ability to deep dive into individual components and systems, as well as understand the overall architecture of machine learning solutions
- Proficiency in building and deploying full-stack machine learning pipelines: data extraction, data mining, model training, feature development, testing, and deployment
- MSc or Ph.D. in Computer Science, Machine Learning, Statistics, Mathematics, or a related field
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