Senior Machine Learning Engineer, Roku

DevOps/SRE

Salary not provided

AWS

Kubernetes

GCP

Python

Scala

Java

Kafka

Airflow

Terraform

Jenkins

Spark

Prometheus

Grafana

Flink

Datadog

DevOps

Senior and Expert level

Austin

More information about location

4+ days a week in office

Convenient and affordable TV streaming players

Be an early applicant

Convenient and affordable TV streaming players

1001+ employees

B2CEntertainmentVideoMedia

Be an early applicant

Salary not provided

AWS

Kubernetes

GCP

Python

Scala

Java

Kafka

Airflow

Terraform

Jenkins

Spark

Prometheus

Grafana

Flink

Datadog

DevOps

Senior and Expert level

Austin

More information about location

4+ days a week in office

1001+ employees

B2CEntertainmentVideoMedia

Company mission

To provide its users with a more convenient and cost effective way of watching the programs they love.

Job

Company

Role

Who you are

BS or MS in Computer Science, Engineering, or a related quantitative field
8+ years of experience in DevOps, SRE, or ML infrastructure, including 4+ years supporting large-scale ML or AI systems
Strong programming skills in Python and/or Scala or Java for platform automation and tooling
Deep experience with Kubernetes and container orchestration on GCP (GKE) and/or AWS (EKS)
Expertise with NoSQL or low-latency data stores such as Aerospike or similar technologies
Hands-on experience with data and orchestration technologies such as Apache Spark, Apache Flink, Apache Airflow, and Kafka
Experience building and maintaining CI/CD systems using tools such as Jenkins or GitLab Runner
Familiarity with feature engineering platforms such as Chronon and model lifecycle tools such as MLflow
Strong infrastructure-as-code experience with Terraform or similar tooling
Experience with observability platforms such as Prometheus, Grafana, and Datadog
Excellent communication and cross-functional collaboration skills
Experience in the Advertising domain is a plus

What the job involves

We are seeking a talented and experienced Senior Software Engineer, MLOps/DevOps to join the Advertising Performance team and play a critical role in supporting and scaling our Machine Learning infrastructure
The ideal candidate has a strong background in DevOps/SRE practices, cloud infrastructure management, and MLOps tooling — with a passion for building platforms that accelerate ML experimentation and deployment at internet scale
You will partner closely with ML Scientists and Engineers to streamline the end-to-end ML lifecycle across training, evaluation, deployment, and monitoring — on top of a modern, cloud-native stack running on GCP and AWS using Kubernetes, Apache Airflow, Spark, Ray, MLflow, Chronon, etc
Lead the design and operation of scalable, production-grade cloud infrastructure for ML workloads across AWS and GCP, including GPU/TPU-based training and inference environments
Architect and improve CI/CD systems for ML models and platform services to enable fast, reliable, and safe production releases
Own and evolve low-latency infrastructure for real-time model inference, including KV store and vector databases
Define and enforce observability standards for ML systems, including model performance monitoring, drift detection, capacity planning, and pipeline health metrics
Participate in on-call rotation, leading incident response and root-cause analysis for critical ML training and serving infrastructure
Partner with data scientists and ML engineers to improve platform usability, accelerate model iteration, and implement strong MLOps and SRE best practices
Champion operational excellence across ML infrastructure through automation, resilience engineering, disaster recovery planning, and continuous improvement

Our take

According to Nielsen data, the average streamer spends over seven minutes searching for something to watch. Streaming services use customers' viewing history to make suggestions, but these are limited to programs licensed for that particular service.

Roku provides an integrated streaming service that offers TV channels, movies and third-party streaming services, resulting in an all-in-one streaming platform. The service can be accessed through a variety of customized subscription packages and fees.

Roku stands out in the streaming industry by bringing many competitors together in one package. The startup provides further innovative services such as a weekly TV series named 'Roku Recommends' which uses first-party data to recommend essential viewing to users. Alongside funding filmmakers through its "Change Makers Program", Roku also acquired its own original library of shows through its acquisition of now-defunct Quibi's library in 2021. After successful collaborations with TCL and Hisense, the first in-house "Roku Television" was released in 2023, further exemplifying the streaming company's wider ambitions in the media sector.

Kirsty

Company Specialist at Welcome to the Jungle

Insights

Top investors

-6% employee growth in 12 months

Glassdoor (3.7)

Trustpilot (1.4)

Company

Funding (last 2 of 9 rounds)

Jan 2016

$45.5m

LATE VC

Nov 2015

$45.5m

SERIES H

Total funding: $247.8m

Company benefits

Medical, wellness and financial benefits
Unlimited paid time off policy
Work from home opportunities
Free snacks and access to the company fitness center

Company HQ

Newhall, San Jose, CA

Leadership

Anthony Wood

(Founder & CEO)

Studied Engineering at Texas A&M before founding their first company in 1986. They held VP roles at both Adobe and Netflix.

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