Staff Software Engineer, ML Infra & Distributed Systems

About the Role:

As a Staff 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.

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:

• 8 years of 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 worlds 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

Tubi is a division of Fox Corporation and the FOX Employee Benefits summarizedherecovers the majority of all US employee following distinctions below outline the differences between the Tubi and FOXbenefits:

• For US-based non-exempt Tubi employees the FOX Employee Benefits summary accurately captures the Vacation and Sick Time.
• For all salaried/exempt employees in lieu of the FOX Vacation policy Tubi offers a Flexible Time off Policy to manage all personal matters.
• For all full-time regular employees in lieu of FOX Paid Parental Leave Tubi offers a generous Parental Leave Program which allows parents twelve (12) weeks of paid bonding leave within the first year of birth adoption surrogacy or foster placement of a child in addition to applicable government leave program(s) and FOXs short-term disability policy. This time is 100% paid through a combination of any applicable state city and federal leaves and wage-replacement programs in addition to contributions made by Tubi.
• For all full-time regular employees Tubi offers a monthly wellness reimbursement.

About Tubi:

Boldly built for every fandom Tubi is a free streaming service that entertains over 100 million monthly active users. Tubi offers the worlds 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.

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race color religion sex national origin gender identity disability protected veteran status or any other characteristic protected by law. We will consider for employment qualified applicants with criminal histories consistent with applicable law.