ML Infrastructure Engineer — Low-Latency Inference

Tubitv; San Francisco (CA); On-site; USD 227,200 - 417,000; Full time

Benefits offered by this job

Flexible Time Off

Generous Parental Leave

Monthly Wellness Reimbursement

Job summary

Tubitv is seeking a Software Engineer to join its ML Infrastructure team in San Francisco. You will be responsible for building systems that support machine learning and enhance user experience through scalable architectures.

The position requires expertise in languages like Scala, experience with AWS, and a knack for designing low-latency systems. Tubi offers a flexible remote work environment, various benefits, and a competitive salary range of $227,200 – $417,000 annually.

Qualifications

• Experience with modern backend languages, preferably Scala.
• Background in building low-latency systems and online microservices.
• Proven ability to lead incident response efforts.

Responsibilities

• Design and build scalable, high throughput distributed systems.
• Build reusable components for various ML applications.
• Collaborate with ML engineers to address challenges and recommend solutions.

Skills

Scala

AWS

Distributed systems

Containerization technologies (Docker/Kubernetes)

Microservices

Education

Bachelor's degree in Computer Science or related field

Tools

Postgres

Cassandra

Kafka

Redis

Job description

Tubitv is seeking a Software Engineer to join its ML Infrastructure team in San Francisco. You will be responsible for building systems that support machine learning and enhance user experience through scalable architectures.

The position requires expertise in languages like Scala, experience with AWS, and a knack for designing low-latency systems. Tubi offers a flexible remote work environment, various benefits, and a competitive salary range of $227,200 – $417,000 annually.