Senior Machine Learning Engineer, Roku
DevOps/SRE
$148.8-361k
More information about location
4 days a week in office (San Jose, CA)
Convenient and affordable TV streaming players
Open for applications
Convenient and affordable TV streaming players
1001+ employees
Open for applications
$148.8-361k
More information about location
4 days a week in office (San Jose, CA)
1001+ employees
Company mission
To provide its users with a more convenient and cost effective way of watching the programs they love.
Role
Who you are
- 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
- 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
- The Advertising Performance group focuses on performance for all participants in the Advertising ecosystem - Advertisers, Publishers, and Roku
- The systems and solutions span multiple disciplines and technologies to perform real-time multi-objective optimization across distributed systems at large scale and with low latency
- We use Machine Learning, Reinforcement Learning, AI, Control and Optimization Systems, and Auction Dynamics to solve a large set of complex problems
- At the core of this is our Machine Learning, Experimentation, and Inference Platform that powers the entire landscape, which we continuously evolve over time
- 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
- 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
-6% employee growth in 12 months
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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