ML Infra Architect - Distributed Systems Lead

Tubi

United States

On-site

USD 227,200 - 417,000

Full time

14 days+

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Benefits offered by this job

Flexible Time Off
Parental Leave Program
Wellness reimbursement

Job summary

Tubi is looking for a Software Engineer for its ML Infrastructure team in the United States. This role involves designing and building scalable distributed systems and mentoring team members. Candidates should have experience with cloud platforms like AWS, microservices, and be proficient in modern backend languages such as Scala, Java, or Python. The role offers competitive salaries ranging from $227,200 to $417,000 and various benefits, including flexible time off and parental leave.

Qualifications

  • Experience with large-scale cloud systems in modern backend languages.
  • Strong knowledge of AWS or equivalent cloud platforms.
  • Experience with microservices architecture.
  • Familiarity with messaging and caching solutions.

Responsibilities

  • Design and build scalable, high-throughput distributed systems.
  • Build reusable components for ML applications.
  • Collaborate with ML engineers to optimize ML Inference.
  • Mentor engineers on system design and incident management.
  • Define long-term vision for ML Infrastructure with teams.

Skills

Experience designing and building scalable systems
Strong experience with AWS
Low-latency serving experience
Experience with SQL and NoSQL databases
Containerization technologies (Docker, Kubernetes)
Incident response and resolution

Tools

Kafka
Postgres
Redis
Java
Python

Job description

Tubi is looking for a Software Engineer for its ML Infrastructure team in the United States. This role involves designing and building scalable distributed systems and mentoring team members. Candidates should have experience with cloud platforms like AWS, microservices, and be proficient in modern backend languages such as Scala, Java, or Python. The role offers competitive salaries ranging from $227,200 to $417,000 and various benefits, including flexible time off and parental leave.
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