Tubi

Machine Learning Engineer

• Design and build scalable, high throughput, and low latency distributed systems using Scala
• Build reusable components and services that serve various ML applications like Personalization, Search, Ads and Exploration
• Partner closely with ML engineers to understand their challenges and limitations and develop scalable solutions to address them. Proactively recommend solutions to keep our ML Inference stack state of the art.
• Take a data driven approach to identifying & optimizing latency, cost, and efficiency of our infra. Lead large scale cross functional refactorings if necessary
• Mentor other engineers on the team on system design, effective incident management, interviewing, leveraging LLMs for work, etc.
• Collaborate with ML, Product, and cross functional engineering teams to define the long term vision and architecture for ML Infrastructure at Tubi.

Software Engineer, ML Infra – Distributed Systems (Staff & Principal)

• 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

Staff Machine Learning Engineer

• 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

Director, ML Engineering – Infrastructure

General Counsel

• Draft, negotiate, and review a range of advertising agreements, including insertion orders, sales partnership agreements, custom campaign agreements with advertising agencies
• Advise on issues impacting Tubi's ad sales and growth business units related to data use and ownership
• Conduct contract analysis and provide ongoing risk analysis in connection with a variety of matters
• Build trust and drive strong relationships with internal stakeholders

Senior Counsel, Sales & Growth

DevOps Engineer

• Lead, mentor, and grow a team of Site Reliability Engineers
• Define and drive the multi-year technical strategy and vision for Tubi’s observability and automation platforms
• Own the end-to-end availability, performance, and efficiency of critical user-facing services
• Streamline and improve existing processes and practices
• Own the SRE budget, tooling, and headcount
• Act as a key influencer and strategic partner to leaders in Software Engineering, Product Management, and Infra/Sec
• Develop and execute the strategy for integrating AIOps and machine learning into our observability stack
• Champion the effective and responsible use of AI-assisted coding tools within the SRE team

Senior Manager, Site Reliability Engineering

Content Marketing Manager

• Lead execution of merchandising campaigns and go-to-market plans for priority titles and tentpole events, driving cross-functional workflows
• Curate and package content into themed collections, categories, and special events that reflect user interests and business priorities
• Manage and maintain editorial calendars, ensuring deadlines and accuracy
• Partner with Product and Data Science to support experimentation by contributing ideas and testing merchandising approaches across surfaces
• Use campaign performance and user behavior data to optimize curation and identify new opportunities
• Contribute to metadata strategy, copywriting, and creative optimization to strengthen title visibility and user engagement.
• Identify and apply competitive and industry key learnings and trends.

Associate, Content Merchandising

Full-stack Engineer

• Write performance rendering code that can work on low-spec devices with as little memory usage as possible;
• Build innovative product features to help our users discover and consume content;
• Work on our open source shared user interface (UI) components library;
• Improve the video playback experience across different platforms and utilize innovations in browsers (Progressive Web Apps (PWA));
• Build infrastructure for staging and production;
• Optimize the data processing pipeline;
• Improve backend service monitoring and optimization to decrease API response time and increase system availability;
• Build next generation of infrastructure as code, making it reproducible and durable;
• Maintain production components, debug, test, and fix concealed issues, which affect production services;
• Investigate, design, and develop the next generation machine learning data pipeline to provide an error free and vast data source for the machine learning team to build better user experiences;
• Use strong communication skills (verbal and written) to work with the product and design teams to understand end-user requirements, formulate use cases, and translate these into a pragmatic and effective technical solution.

Software Developer

Account Executive

• Own and grow the book of businesses across Mid-Market and Independent Agencies in assigned region
• Prospect, pitch, and close new advertising partnerships across the Tubi platform
• Develop customized media solutions using Tubi’s scale/reach, sponsorships, and advanced targeting
• Collaborate with cross-functional teams (product, marketing, operations, and content) to ensure client success and campaign optimization
• Lead client presentations, demos, and strategic discussions to communicate the value of Tubi’s offerings
• Build strong relationships with the assigned agencies - including buyers and in some cases, planners, strategy, and clients
• Stay current on streaming, CTV, programmatic, and digital ad market trends

Account Executive, Mid-Market

Revenue Operations

• Oversee the reporting and reconciliation of ad sales business
• Provide revenue estimates monthly to finance and ad sales partners
• Lead month-end reconciliation, variance analysis, and data validation
• Automate internal reporting tools
• Streamline and improve processes

Software Engineer, ML Infra – Distributed Systems (Staff & Principal)

Staff Machine Learning Engineer

Director, ML Engineering – Infrastructure

Senior Counsel, Sales & Growth

Senior Manager, Site Reliability Engineering

Associate, Content Merchandising

Software Developer

Account Executive, Mid-Market

Account Executive, Mid-Market

Manager, Advertising Operations – Revenue Operations