• Navigate diverse marketing and creator functions by rotating through different teams to see how an idea moves from a concept to consumer.
• Build a toolkit of skills through direct participation in real-time projects and team-based assignments, with a particular focus on building with AI tools.
• Expand your professional network by collaborating with mentors and peers across the organization to better understand Tubi’s unique brand culture.

#LI-SY1

#LI-Hybrid 

About the Role:

This role is part of our Maker Program, an 18-month rotational experience designed for early-career talent looking to build foundational skills across marketing, creative, and revenue-driving functions.

As a B2B Content Marketing Maker, you’ll be a hands-on creator responsible for producing fast-turn, high-impact marketing assets that support demand generation, sales enablement, and brand storytelling. This is an execution-focused role for someone who loves making things- especially short-form video and digital content- and can move quickly without sacrificing quality.

You’ll work closely with marketing, sales, and creative teams to bring ideas to life, adapt content across formats, and keep a steady stream of fresh, engaging assets flowing across channels.

What You’ll Do:

• Edit and produce short-form video content for campaigns, social, events, and sales use
• Create high-volume visual assets (presentations, one-sheets, social graphics, digital ads)
• Adapt existing content into new formats optimized for different platforms and audiences
• Support demand generation campaigns with quick-turn creative assets
• Use AI and creative tools to speed up production and scale output
• Maintain consistency with brand guidelines while experimenting with new formats and styles
• Manage multiple projects at once and deliver on tight timelines

What You’ll Learn: 

• How creative content drives B2B marketing and revenue
• How to produce high-quality assets quickly across multiple formats and channels
• How to translate business goals into effective creative outputs
• How marketing, sales, and creative teams collaborate to bring campaigns to life

Who You Are:

• Up to three years of combined professional experience, including internships
• A creator at heart: you enjoy designing, editing, and bringing ideas to life
• Comfortable working with video editing and design tools (and eager to learn more)
• Able to move quickly, iterate, and handle high-volume output
• Strong attention to detail with a good eye for design and storytelling
• Organized and able to manage multiple deadlines in a fast-paced environment
• Interest in marketing, media, advertising, or content creation

Nice to Have:

• Experience with tools like Adobe Premiere, After Effects, CapCut, Canva, Figma, or similar
• Familiarity with short-form video trends and social-first content
• Exposure to AI tools for creative production (e.g., generative video, image, or editing tools)

Why This Role Matters:

Creative is a key driver of how we show up in the market. This role helps scale our ability to produce compelling, high-quality content quickly - fueling campaigns, supporting sales, and strengthening our brand across every touchpoint.

Program Eligibility Requirements:

• Application Deadline: May 15, 2026
• Program Timeline: Minimum 18-month commitment, starting Aug 2026, after which successful participants will transition into non-rotational full-time roles
• Work Schedule: Full-time, hybrid in San Francisco with office day requirements. Relocation assistance will not be provided.
• Work Authorization: Must have U.S. work authorization; we are unable to sponsor visas for this program
• Committed and available to work for the entire 18-month length of the program

• Navigate diverse marketing and creator functions by rotating through different teams to see how an idea moves from a concept to consumer.
• Build a toolkit of skills through direct participation in real-time projects and team-based assignments, with a particular focus on building with AI tools.
• Expand your professional network by collaborating with mentors and peers across the organization to better understand Tubi’s unique brand culture.

#LI-MJ1 

#LI-Hybrid  

About the Role:

This role is part of our Maker Program, an 18-month rotational experience designed for early-career talent looking to build foundational skills across marketing, creative, and consumer-facing functions.

The Analytics Development role sits within our Marketing Data Science team and is part of a broader rotational program within the marketing organization that will give people the opportunity to work on a wide range of impactful projects.

In this role, you will develop tools and automate workflows that join analytics capabilities with real-world needs — making Tubi's most important growth playbooks faster, more consistent, and more seamless to execute. You'll write code in Python/SQL and other languages using tools such as Cursor or Claude Code, build and manage AI agents that handle high-volume analytics and operational workflows, and work shoulder-to-shoulder with growth marketers, data scientists, and business stakeholders.

What You'll Do:

• Build and improve internal tools, automations, and lightweight applications that support recurring analytical and operational workflows across Growth Marketing
• Write production-ready Python and SQL to power data workflows, self-serve tooling, and decision-support systems
• Develop systems that automate repeatable analytical tasks, reduce manual work, and improve speed and consistency across key growth playbooks
• Use AI and LLM-based tools where appropriate to support analytics, workflow automation, and stakeholder-facing solutions
• Partner closely with Marketing Data Science, Growth Marketing, and data engineering teams to identify high-leverage opportunities for automation and tool development
• Help design workflows that connect business questions to usable data, analysis, and recommendations more quickly
• Evaluate emerging tools and technical approaches that can improve the speed, quality, or scalability of analytics work
• Contribute to best practices for building reliable, maintainable tools in a fast-moving, data-driven environment

Your Background:

• Up to three years of combined professional experience, including internships; recent graduates welcome
• Technical degree (CS, data science, statistics, engineering, math, or similar) preferred but not required
• Strong foundation in Python and comfort writing code for automation, data processing, or internal tooling
• Comfort with SQL, data manipulation, and thinking in terms of data flows
• Exposure to cloud tooling, workflow orchestration, or ML/analytics platforms is a plus
• Strong business curiosity — you want to understand why a stakeholder is asking a question, not just answer it

Program Eligibility Requirements:

• Application Deadline: May 15, 2026
• Program Timeline: Minimum 18-month commitment, starting Aug 2026, after which successful participants will transition into non-rotational full-time roles
• Work Schedule: Full-time, hybrid in San Francisco with office day requirements. Relocation assistance will not be provided.
• Work Authorization: Must have U.S. work authorization; we are unable to sponsor visas for this program
• Committed and available to work for the entire 18-month length of the program

• Navigate diverse marketing and creator functions by rotating through different teams to see how an idea moves from a concept to consumer.
• Build a toolkit of skills through direct participation in real-time projects and team-based assignments, with a particular focus on building with AI tools.
• Expand your professional network by collaborating with mentors and peers across the organization to better understand Tubi’s unique brand culture.

#LI-SY1 

#LI-Hybrid 

About the Role:

We’re seeking a Senior Product Manager, Search to lead strategy and execution for Tubi’s Search experience and foundational search capabilities. With a library of 300,000+ titles, this role is central to how viewers discover content with intent, whether they arrive with a specific title in mind or have a broader mood or genre in mind.

You will own key parts of the end-to-end Search experience, spanning the core search interface and the underlying capabilities that power it, including query understanding, semantic retrieval, ranking and re-ranking, result organization, autocomplete, and conversational search foundations. You’ll work closely with engineering, machine learning, design, data science, and cross-functional partners to make search faster, smarter, and more useful for millions of viewers.

If you’re passionate about building consumer search products, partnering closely with technical teams, and using data and experimentation to improve discovery, this is the role for you.

This is a {{hybrid}} role based out of our {{San Francisco}} office. 

What You'll Do:

• Define and drive the product roadmap for Search, aligning near-term execution with Tubi’s broader discovery, engagement, and retention strategy.
• Own the core end-to-end Search experience including query entry, results, refinement, and conversational search interactions.
• Partner with cross-function teams including ML, engineering, data science, and design, to improve foundational search capabilities and deliver intuitive, high-quality discovery experiences.
• Enhance search relevance and effectiveness across a variety of user needs, from precise lookups to more exploratory discovery journeys.
• Lead experimentation to improve search quality and user outcomes, using A/B testing, behavioral analysis, and qualitative insights to iterate quickly.
• Collaborate with broader teams to ensure Search capabilities can be extended effectively across surfaces and use cases.
• Champion the user by deeply understanding viewer intent, search pain points, and moments where Search can better guide users to the right content.
• Drive high-quality cross-functional execution, ensuring teams stay aligned on goals, tradeoffs, milestones, and measurable outcomes.

Your Background:

• 6+ years of product management experience, with meaningful experience in consumer products, search, discovery, recommendations, or other relevance-driven systems.
• Proven track record of leading complex, cross-functional initiatives from strategy through execution in fast-paced, data-driven environments.
• Strong understanding of search and discovery concepts such as retrieval, ranking, relevance, query intent, autocomplete, filtering, or content organization.
• Experience partnering closely with engineering, data science, and/or machine learning teams on technical products or algorithmically driven user experiences.
• Strong analytical and experimentation skills, including defining metrics, structuring A/B tests, and translating results into product decisions.
• Ability to balance technical constraints, user needs, and business goals in ambiguous problem spaces.
• Strong written and verbal communication skills, with the ability to align technical and non-technical stakeholders around a clear plan.
• Passion for building consumer experiences that are intuitive, useful, and grounded in real user behavior.
• Excellent communication and storytelling skills, able to align technical and non-technical teams around a clear vision.
• Bachelor’s degree in Computer Science, Engineering, or related field; advanced degree preferred.
• Experience in streaming media, social media, or consumer entertainment products is a plus.

 #LI-SY1 

#LI-Hybrid 

About the Role:

Tubi is building a world-class streaming platform, and we are looking for a Senior Product Designer to join our Discovery Lifecycle team. As the design lead for this pod, you will be responsible for delivering highly quality user experiences that help viewers find content they love most effectively, in close collaboration with Tubi’s ML team.

In this role, you will be responsible for shaping how content is presented across the Tubi platform. You will also dive deep into understanding user behaviors across different cohorts, experimenting with different types of signals that can be used to improve how content is personalized for each viewer.

You will own the end-to-end product design and implementation of multiple features and deliver both tactical and strategic design solutions that will help shape Tubi's future of personalization. This role requires two days in the office in San Francisco.

What You'll Do:

• Partner with Research and ML (Product and Engineering) to identify, prioritize, and scope product opportunities
• Collaborate with Research and Data Science to understand user behavior, generate new testable hypotheses and use data to measure the impact of your design decisions
• Garner approval from cross-functional stakeholders, manage and incorporate feedback, and drive towards alignment
• Craft elegant and scalable design solutions across all of Tubi’s platforms that are aligned with best practices and Tubi’s design language
• Work autonomously to identify new opportunities and build on top of existing investments

Your Background:

• A portfolio that demonstrates exceptional design and prototyping skills, attention to detail, and the ability to solve complex problems through elegant solutions
• Typically ~5 years of experience in building digital products
• Prior experience in delivering customer-centered experiences that impact millions of users
• Experience with experiment-driven product development: using data and research methodologies to understand the needs, behaviors and motivations of users; hypothesis validation; experiment diagnosis
• Ability to champion collaborative product-making and partnering with multiple teams across multiple organizations
• Excellent communication and storytelling skills (both verbal and written), and ability to present your work to peers and executives
• Proficiency with industry standard design tools like Figma, ProtoPie or equivalent apps

#LI-Hybrid 

#LI-CL1

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:

We are looking for a Staff Software Engineer who combines deep technical expertise with strong organizational influence. This role operates beyond individual service ownership and requires demonstrated impact across teams, domains, and large-scale distributed systems.

This is a hybrid role based out of either our SF or NYC office. You must be willing to travel to our SF or NYC office 3 days/week. 

What You'll Do:

• Define and drive architectural direction across multiple services and teams
• Lead the design and evolution of distributed systems
• Ensure systems are built for long-term scalability, resilience, observability, and security
• Drive cross-team technical alignment across client, infrastructure, product, ads, and content organizations
• Mentor senior engineers and elevate engineering standards across the team
• Own critical system design decisions that impact multiple platforms
• Contribute to domain leadership in areas such as Linear systems, EPG platforms, or time-based content architectures (preferred)
• Shape and evolve Tubi’s backend development practices, including AI-native engineering workflows
• Flexibility to support business-critical needs outside regular working hours when necessary, like oncall and live events.
• Strong sense of ownership, with proactive attention to on-call situations and production stability.
• Demonstrated cross-team leadership, with familiarity working across multiple teams in complex organizational environments.

Your Background:

• Extensive experience designing and operating large-scale distributed systems
• Deep expertise in backend development (Elixir and Rust preferred, or strong background in comparable languages)
• Strong architectural judgment with proven cross-team technical leadership
• Strong experience with gRPC/Protocol Buffers, RESTful APIs, Kubernetes, and observability systems
• Demonstrated ability to lead complex, cross-functional initiatives
• Strong communication skills with the ability to articulate trade-offs and drive alignment
• Experience working in high-traffic, mission-critical production environments
• Familiarity with Linear content systems, EPG platforms, or other time-based scheduling architectures is preferred
• Hands-on experience building or supporting systems for large-scale live events (e.g., major sports tournaments) with high concurrency and real-time demands.

Bonus/Preferred:

• Deep production experience in Elixir & Rust
• Deep production experience with Pingora or Nginx
• Advanced Kubernetes experience
• Prior ownership of large-scale architectural transformations

The AI Mandate: AI-Driven Development Practice 

This role goes beyond traditional engineering. As a Staff Engineer, you will help define how AI is integrated into backend development at Tubi. The goal is to unlock smarter execution, faster delivery, and automation at scale, while ensuring responsible and secure use of these technologies.

This includes but is not limited to:

AI-Augmented Backend Development:
Establishing best practices for AI-assisted coding tools (Claude Code, Cursor, etc.) to accelerate development while maintaining high standards for correctness, security, and performance. You will set the bar for responsible and effective AI usage across backend teams.

AI-Enhanced Architecture & Optimization:
Exploring and guiding how AI can assist in system design, performance tuning, and anomaly detection across Tubi’s distributed backend systems. You will influence how AI-powered insights improve throughput, latency, and operational efficiency.

AI-Driven Developer Experience:
Driving improvements in internal tools and workflows that leverage AI to enhance productivity, code quality, and observability, helping evolve Tubi’s backend engineering culture into an AI-native practice.

#LI-CL1 

#LI-Hybrid 

About the role

What sets Tubi apart is not just its vast on-demand content library, but also live TV and event programming that brings the world together in real time. Tubi’s free, ad-supported live channels deliver linear TV experiences alongside curated event coverage, reaching massive audiences. In 2025, Tubi made history streaming Super Bowl LIX, becoming part of the most streamed Super Bowl ever: Tubi’s simulcast drew an audience that peaked at 15.5 million concurrent viewers, with 24 million unique viewers across game-day programming, helping fuel the record-breaking overall audience for the Big Game.

We’re seeking a Senior Product Manager for our Live TV & Events experiences to lead the vision, strategy, and execution for Tubi’s linear TV product and live events. This role will have high visibility and will be pivotal in helping set short, medium & long term strategy for our linear product and live event programming.

What You’ll Do

• Own the Live TV & Events roadmap: Define product strategy, OKRs, and success metrics that grow viewership, tune-in, and engagement across Tubi’s live channels and tentpole events.
• Elevate the live viewing experience: Lead improvements to Live Guides, Event Hubs, and real-time playback flows to better surface upcoming programming, highlight event-driven value props, and increase tune-in conversion.
• Optimize event discoverability: Deliver technical and product enhancements that improve how users find and engage with live moments, including metadata systems, AI/ML discovery features, notifications, and CTV integrations for event-based content.
• Drive high-intent user activation: Design compelling entry points and friction-balanced flows that guide users from browsing to real-time viewing, and from live events into deeper long-term engagement across Tubi.
• Experiment and iterate: Partner with Data Science to design A/B tests around live tune-in, concurrency behavior, session length, and post-event re-engagement, and scale successful features across platforms.
• Ensure event readiness at scale: Collaborate with Engineering, Platform, and Operations to support reliability, latency, and performance requirements for major live events, ensuring seamless experiences during high-traffic moments.
• Drive cross-functional alignment: Work closely with Content, Marketing, Design, and Ad Sales to ship impactful initiatives that elevate Tubi’s live offering and maximize reach for priority events.
• Champion the viewer: Advocate for live audiences by ensuring intuitive discovery, clear event value messaging, and a trustworthy real-time streaming experience from tune-in to post-event communications.

Your Background

• 6+ years of product management experience, with significant time spent building consumer-facing products, ideally in streaming, live content, or other real-time, high-traffic environments.
• Proven ability to launch and scale features that drive audience engagement such as tune-in, session length, concurrency, or re-engagement for live or event-based programming.
• Strong analytical and technical fluency, including experience with experimentation, real-time metrics, and translating complex behavioral data into product insights and strategy.
• Demonstrated success leading cross-functional teams across Engineering, Design, Content, Marketing, and Operations to deliver reliable, high-quality experiences during major live moments.
• Deep user empathy and storytelling skills, with a passion for creating intuitive, emotionally resonant experiences around live events, cultural moments, and premium content.
• Operational rigor and calm under pressure, with experience planning for and executing during high-scale events or traffic surges.

Preferred

• Experience in streaming, sports, live broadcasting, or event-based media, especially involving concurrency planning, latency optimization, or high-reliability video delivery.
• Familiarity with live content programming workflows including metadata, scheduling, dynamic surfacing, UX for linear guides, or real-time event promotion.
• Strong product instincts for discovery flows, notifications, and event lifecycle UX (pre-event awareness → tune-in → retention → post-event engagement).
• Understanding of cross-platform ecosystems (CTV, mobile, web) and how user motivations differ during live vs. on-demand viewing.
• Experience working with or building real-time systems, alerting mechanisms, operational playbooks, or event readiness processes.
• Bonus: Exposure to sports, news, or tentpole entertainment events, or familiarity with ad-supported streaming monetization.

#LI-SL4

#LI-Hybrid

About the Role:

Our business is on the fast track to success and we're on the lookout for an Executive Assistant to support our Chief Product & Technology Officer and his leadership team. We need someone with top-notch organizational and interpersonal skills, ready to keep up with the dynamic pace of our rapidly growing company. If you're someone who thrives on getting things done with enthusiasm and has a minimum of 5 years of experience in the Tech industry, you might be the perfect fit. We're seeking a self-starter who takes the initiative to ensure smooth operations in the Chief Product & Technology's office. Join us on this thrilling journey!

This is a hybrid role based out of our San Francisco office. You must be willing to travel to our San Francisco office 2-3 days/week. 

What You'll Do:

• Ensure the CPTO is well-prepared with agenda & materials for meetings
• Partner closely with executives to help them manage their time efficiently
• Manage routine executive communications internally and externally and ensure that follow-ups happen in a timely manner
• Own administrative duties including calendar and schedule, travel itineraries, reservations, and expenses for the CPTO and his leadership team
• Own special projects for the technology organization and partner directly with executives
• Find opportunities to take workstreams off the executive’s plate and remove bottlenecks
• Oversee meeting schedules for key events and onsites
• Collaborate with EA teams internally and externally on meetings, event coordination, and special projects
• Uphold Tubi’s reputation by managing high-stakes relationships and communications with C-Suite executives and high-level talent
• Support day-to-day operations of the office space including conference room and desk assignments, supplies, and shared equipment
• Enhance productivity across the team through intelligent management and design

Your Background:

• Experience as an Executive Assistant supporting C-level executives at a technology company
• Outstanding organizational and execution skills
• An expert at handling a wide range of working styles 
• Strong written and verbal communication skills
• A passion for streaming/technology and thrives in fast-paced environments
• Ability to work under short timelines and a skilled multitasker
• Comfortable interacting with senior leadership

#LI-SC1 

#LI-Hybrid 

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 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.

What You'll Do:

• 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

Your Background:

• 8+ years of industry experience building production Machine Learning systems
• MSc or Ph.D. in Computer Science, Machine Learning, Statistics, Mathematics, or a related field
• Experience with deep learning technologies for recommendation systems, including TensorFlow, PyTorch, or similar frameworks
• Proficiency in building and deploying full-stack machine learning pipelines: data extraction, data mining, model training, feature development, testing, and deployment.
• 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.

#LI-Hybrid #LI-SC1

About the Role:

As a Software Engineer on the ML Infrastructure team, you will collaborate closely with the Machine Learning and Product teams to build world-class machine learning inference platforms. These platforms power essential services like personalized recommendations, search, and content understanding across Tubi.

A core responsibility of this team is developing and maintaining low-latency ML model serving systems that support Deep Learning, LLM, and Search models. This involves building self-service infrastructure and critical components such as the inference engine, feature store, vector store, and experimentation engine.

You will improve the way we deploy and operate our services and even contribute to open-source projects. This role grants the architectural freedom to explore new frameworks, lead critical cross-functional projects, and transform the capabilities of our ML and Product teams.

We currently have multiple openings;

• Staff Software Engineer
• Principal Software Engineer
  • Additional Details: As a Principal Engineer on the ML Infrastructure team, you will be a technical leader and visionary, driving the evolution of our machine learning platform. You will tackle the most complex and impactful technical challenges, shaping the architecture and technology choices that enable our ML capabilities to scale and deliver exceptional user experiences. You will be a key influencer, bridging the gap between engineering and product, and a mentor to senior engineers, fostering a culture of technical excellence and continuous improvement. Your work will be used by millions of users.

Responsibilities:

• 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.  

Your Background:

• Experience designing and building scalable, distributed systems in any modern backend language (e.g., Scala, Java, Python, Go, C++); experience with Scala or JVM based language is a plus.
• Strong experience with AWS or an equivalent cloud platform
• Experience building online microservices at scale with low latency serving
• Experience with both SQL (e.g. Postgres) and NoSQL databases (e.g. Cassandra), message brokers (e.g. Kafka), and caches (e.g. Redis)
• Experience with containerization technologies, such as Docker or Kubernetes
• Led the response and resolution efforts for multiple major, large-scale incidents

Bonus:

• Familiarity with the machine learning infrastructure like inference engines (e.g. torschserve, triton, vLLM), vector stores (e.g. LanceDB, FAISS), feature stores (e.g. Feast), ElastiCache, model training orchestration, etc.
• Understanding of ML model training pipelines and model internals. Experience with Recommender Systems, Search, Autocomplete and Ads ML is a plus
• Previous experience with Akka, Erlang, Elixir or Go
• Proficient in data-driven analysis of complex A/B testing results

About Tubi:

Tubi is a free streaming service that entertains over 100 million monthly active users. Tubi offers the world's largest collection of Hollywood movies and TV shows, thousands of creator-led stories and hundreds of Tubi Originals made for the most passionate fans. Headquartered in San Francisco and founded in 2014, Tubi is part of Tubi Media Group, a division of Fox Corporation.

#LI-Hybrid