Director, ML Engineering – Infrastructure

Job not on LinkedIn

🕒 April 1

🏢🏡 San Francisco – Hybrid

💵 $292k - $417.2k / year

⏰ Full Time

🔴 Lead

🤖 Machine Learning Engineer

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Tubi

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2014

📱 Media

Media • Entertainment • Advertising

Tubi is a free, ad-supported streaming service offering a wide selection of movies and TV shows. It features a diverse array of content categories including comedy, romance, drama, horror, and action. Tubi provides a platform for both classic and contemporary films, appealing to a wide audience by keeping its service free and easily accessible across various devices. With a focus on providing entertainment without subscription fees, Tubi partners with other businesses for personalized advertising and viewer engagement.

📋 Description

• Lead and manage high-performing teams across ML engineering and ML infrastructure • Define and execute the strategic roadmap for ML systems • Oversee the design, development, and deployment of scalable ML pipelines • Architect distributed systems to support ML workloads at scale • Partner closely with Product, Engineering, and Content teams • Support best practices in experimentation, evaluation, and ML system monitoring • Ensure cost efficiency, scalability, and performance in ML infrastructure investments

🎯 Requirements

• 10+ years of industry experience in machine learning engineering and distributed systems • 3+ years of leadership and management experience • MSc or Ph.D. in Computer Science, Machine Learning, or related field, or equivalent practical experience • Proven expertise in building and deploying end-to-end ML systems at scale • Strong background in distributed systems architecture • Hands-on experience with deep learning frameworks (e.g., TensorFlow, PyTorch) • Track record of delivering high-quality, scalable, and fault-tolerant systems • Excellent communication skills

🏖️ Benefits

• Medical/dental/vision insurance • 401(k) plan • Paid time off • Annual discretionary bonus • Long-term incentive plan • Flexible Time off Policy • Generous Parental Leave Program • Monthly wellness reimbursement