About the Role:

We are looking to add a Senior Counsel to our legal team. You will play a key role in structuring, drafting, and negotiating a variety of agreements in support of our digital ad sales and technology and growth/user acquisition business units, including insertion orders, measurement, targeting, and data use agreements, and other commercial and technology agreements. You will be working with your fellow legal colleagues and many teams across the organization, and will have a direct impact on our service as we continue to grow our user base, increase content view time, and capitalize on the revenue opportunity arising therefrom.  

The Tubi Legal Department is fast paced, challenging, collaborative, and strives to be an excellent partner to our fellow Tubies. This is a great growth opportunity for a dynamic lawyer who has a passion for helping scale and shape commercial contracting processes and policies, training fellow Tubies to accomplish the same, and impacting the reach and scale of our product and service.

This position may be hybrid from our San Francisco, Los Angeles, or New York offices, or remotely from any US-based location. 

What You'll Do:

• Draft, negotiate, and review a range of advertising agreements, including insertion orders, sales partnership agreements, custom campaign agreements with advertising agencies, measurement vendor agreements, data use agreements, and other agreements related to the company’s ad sales and growth businesses
• Advise on issues impacting Tubi's ad sales and growth business units related to data use and ownership, in addition to compliance with guidelines related to online behavioral advertising, digital disclosures, native advertising, and compliance with internal company policies and procedures
• Conduct contract analysis and provide ongoing risk analysis in connection with a variety of matters
• Build trust and drive strong relationships with internal stakeholders
• Assist other legal team members with overflow work in related areas and provide additional client counseling and conduct training as needed

Your Background:

• 6+ years legal experience between an established law firm and an entertainment, media, advertising and/or technology company 
• Experience negotiating and drafting technology and/or commercial agreements 
• Experience with digital ad sales agreements, data use agreements and/or IAB 3.0 (and similar) terms for interactive advertising 
• Excellent negotiator with solid foundational legal knowledge and strong drafting skills
• Team player with exceptional communication and relationship management skills
• Ability to work independently and as part of a team in a fast-paced, dynamic and creative environment
• Ability to multi-task and manage competing priorities under time constraints
• Detail-oriented and able to manage a high-volume workload efficiently and smoothly
• JD received from a top-tier ABA-accredited U.S. law school
• Admission to the state bar in at least one U.S. state

#LI-MJ1

#LI-Remote

About the Role:

The Machine Learning team at Tubi drives the innovation behind personalized user experiences. With the largest inventory in the industry and hundreds of millions of viewers, we tackle problems in the space of recommendations, search, content understanding, and ads optimization that shape the future of streaming.

We are seeking a Director of Machine Learning Engineering and Infrastructure to lead a hybrid team bridging advanced ML engineering with world-class infrastructure design. In this role, you will own the strategic direction and execution for scaling our machine learning capabilities while ensuring our distributed systems and infrastructure can support innovation at massive scale. You will combine technical depth with leadership excellence to guide teams that deliver both foundational ML systems and high-performance distributed services.

What You'll Do: 

• Lead and manage high-performing teams across ML engineering and ML infrastructure, fostering a culture of innovation, collaboration, and growth.
• Define and execute the strategic roadmap for ML systems, including recommendation, personalization, and ads optimization.
• Oversee the design, development, and deployment of scalable ML pipelines: data ingestion, feature engineering, model training, evaluation, and serving.
• Architect distributed systems to support ML workloads at scale, ensuring reliability, observability, and operational excellence.
• Partner closely with Product, Engineering, and Content teams to align on business goals and deliver impactful ML-driven experiences.
• Support best practices in experimentation, evaluation, and ML system monitoring.
• Ensure cost efficiency, scalability, and performance in ML infrastructure investments.

Your Background:

• 10+ years of industry experience spanning machine learning engineering and distributed systems.
• 3+ years of leadership and management experience, with a proven ability to build and lead strong technical teams.
• 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, including recommendation and personalization systems.
• Strong background in distributed systems architecture, including low-latency services, streaming platforms, and large-scale serving.
• Hands-on experience with deep learning frameworks (e.g., TensorFlow, PyTorch) and ML infrastructure technologies.
• Track record of delivering high-quality, scalable, and fault-tolerant systems.
• Excellent communication skills and ability to influence product and technical strategy.
• Proven experience deploying large-scale serving systems on AWS and demonstrated expertise in leveraging Databricks for large-scale data processing and ML workflows