4 months ago
Base Salary
$227k - $417k/yr
Responsibilities
- Design and build scalable, high-throughput, low-latency distributed systems using Scala.
- Build reusable components and services for ML applications including personalization, search, ads, and exploration.
- Partner with ML engineers to identify challenges and develop scalable solutions for the ML inference stack.
- Use data-driven analysis to optimize infrastructure latency, cost, and efficiency.
- Lead large-scale cross-functional refactorings when needed.
- Mentor engineers on system design, incident management, interviewing, and leveraging LLMs for work.
- Collaborate with ML, Product, and engineering teams to define the long-term vision and architecture for ML Infrastructure.
- For Principal-level work, drive technical vision, architecture and technology choices, complex technical problem-solving, cross-functional influence, and mentoring.
Requirements
- Experience designing and building scalable distributed systems in a modern backend language such as Scala, Java, Python, Go, or C++; Scala or JVM experience is a plus.
- Strong experience with AWS or an equivalent cloud platform.
- Experience building low-latency online microservices at scale.
- Experience with SQL and NoSQL databases, message brokers, and caching systems, including examples such as Postgres, Cassandra, Kafka, and Redis.
- Experience with containerization technologies such as Docker or Kubernetes.
- Led response and resolution efforts for multiple major large-scale incidents.
- Familiarity with ML infrastructure, including inference engines such as TorchServe, Triton, or vLLM; vector stores such as LanceDB or FAISS; feature stores such as Feast; ElastiCache; and model training orchestration.
- Understanding of ML model training pipelines and model internals; recommender systems, search, autocomplete, and ads ML experience is a plus.
- Previous experience with Akka, Erlang, Elixir, or Go is a bonus.
- Proficiency in data-driven analysis of complex A/B testing results is a bonus.
Benefits
- Hybrid work arrangement.
- Annual discretionary bonus eligibility and long-term incentive plan.
- Medical, dental, vision, insurance, and 401(k) benefits.
- Paid time off; salaried/exempt employees receive flexible time off.
- Tubi provides 12 weeks of paid parental bonding leave for eligible full-time regular employees.
- Monthly wellness reimbursement for eligible full-time regular employees.
Tech Stack
Categories
About Tubi
Tubi is the most watched free TV and movie streaming service in the U.S., dedicated to providing all people access to all the world's stories. As a leading ad-supported video-on-demand service, the company engages diverse audiences through a personalized experience and the world’s largest content library of over 275,000 movies and TV episodes, a growing collection of Tubi Originals, and nearly 250 FAST channels. Tubi is part of the Tubi Media Group, a division of Fox Corporation that oversees the company’s digital businesses