Tubi - Canada
Software Engineer, ML Infra & Distributed Systems (Staff & Principal)
Toronto, Canada (Hybrid) · Principal · Full-time
Sponsorship not specified$165k-$269kDetected 81 days ago
PythonJavaGoC++ScalaElixirDistributed SystemsSQLNoSQLPostgreSQLRedisCassandraVector DatabasesAWSCloud PlatformsDockerKubernetesKafkaMachine LearningDeep LearningLLMsA/B Testing
About the role
- These platforms power essential services like personalized recommendations, search, and content understanding across Tubi.
- You will improve the way we deploy and operate our services and even contribute to open-source projects.
- 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.
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.
- Experience designing and building scalable, distributed systems in any modern backend language (e.g., Scala, Java, Python, Go, C++)
- Experience building online microservices at scale with low latency serving
Nice to have
- 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
- experience with Scala or JVM based language is a plus.
- Strong experience with AWS or an equivalent cloud platform
- 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
Compensation
- Pursuant to local pay disclosure requirements, the pay range for this role, with final offer amount dependent on education, skills, experience, and location is as listed annually below.
Benefits
- For all salaried 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, Tubi offers a monthly wellness reimbursement.
- Tubi Media Group is a division of Fox Corporation, and the FOX Employee Benefits summarized here, covers the majority of employee benefits.
- Pursuant to local pay disclosure requirements, the pay range for this role, with final offer amount dependent on education, skills, experience, and location is as listed annually below.
Company info
- Boldly built for every fandom, 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.
- 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.
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This listing is sourced directly from Tubi - Canada's careers page and normalized into a canonical job model.