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Machine Learning Platform Engineer Jobs in California

Roku is changing how the world watches TV Roku is the #1 TV streaming platform in the U.S., Canada ... About the Role We seek an outstanding, creative, and passionate Machine Learning Platform Engineer ...

Machine Learning Engineer

San Francisco, CA · On-site +1

$172K - $384K/yr

... Tech Machine Learning Engineer - Scientific Visualisation Platform Location: Remote (US/Canada ... Their platform is redefining how scientists present, understand, and share complex biological ...

Machine Learning Engineer Position: Full time Location: Carlsbad office About Us ... NTENT provides a Platform-as-a-Service (PaaS), allowing industry partners to customize, localize ...

Machine Learning Engineer Position: Full time Location: Carlsbad office About Us ... NTENT provides a Platform-as-a-Service (PaaS), allowing industry partners to customize, localize ...

... a Cloud Platform Engineer to build scalable and reliable infrastructure. The role involves ... of machine learning models. • Establish standards and best practices for reliability and ...

... data, and automation platforms, creating scalable solutions and eliminating silos. In Data ... The Machine Learning Engineer sits on the Data Science & Machine Learning Team to help the CMG ...

New

As a Machine Learning Engineer, you will design and build cutting-edge AI/ML systems that drive ... similar platforms. Experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn.

Machine Learning Engineer The Opportunity Join Adobe and be at the forefront of driving digital ... platforms and tools that unleash creativity, productivity and personalized customer experiences.

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Machine Learning Platform Engineer information

What are the key skills and qualifications needed to thrive in the Machine Learning Platform Engineer position, and why are they important?

A Machine Learning Platform Engineer should have strong programming skills (especially in Python or Java), knowledge of machine learning frameworks (like TensorFlow or PyTorch), and experience with cloud platforms and scalable infrastructure. Familiarity with containerization tools (such as Docker and Kubernetes), CI/CD systems, and relevant certifications in cloud or machine learning technologies is highly valued. Effective problem-solving, teamwork, and clear communication are crucial soft skills for collaborating across data science and engineering teams. These capabilities enable seamless creation and maintenance of robust, high-performance machine learning platforms for scalable model development and deployment.

What does a typical day look like for a Machine Learning Platform Engineer?

A typical day for a Machine Learning Platform Engineer involves designing, building, and maintaining the infrastructure that supports data science and machine learning workflows. You might spend your time developing new features for the platform, optimizing data pipelines, deploying models, and troubleshooting technical issues alongside data scientists and engineers. Collaboration is key—you’ll often work closely with cross-functional teams to understand requirements, ensure scalability, and improve the overall machine learning lifecycle. This role offers a challenging mix of software engineering and system design, so adaptability and a proactive mindset are important for success.

What is a Machine Learning Platform Engineer job?

A Machine Learning Platform Engineer designs, builds, and maintains the infrastructure that enables machine learning development and deployment at scale. They work on areas like data pipelines, model training workflows, monitoring, and cloud or on-premises platforms to ensure ML models run efficiently in production. Their role bridges software engineering and machine learning, focusing on automation, scalability, and reliability to support data scientists and ML engineers in delivering models faster and more effectively.

What job categories do people searching Machine Learning Platform Engineer jobs in California look for? The top searched job categories for Machine Learning Platform Engineer jobs in California are:
Infographic showing various Machine Learning Platform Engineer job openings in California as of July 2026, with employment types broken down into 92% Full Time, 4% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.
Senior Machine Learning Engineer

Senior Machine Learning Engineer

Roku

San Jose, CA • On-site

$229K - $360K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 26 days ago


Job description

Teamwork makes the stream work.
Roku is changing how the world watches TV
Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
About the Team
The Recommendations team drives personalized experiences across our platform by leveraging state-of-the-art machine learning. Our mission is to deliver meaningful, context-aware recommendations that adapt to each user's preferences in real time. We believe that true innovation in personalization requires more than great models-it depends on a robust, flexible ML platform built for experimentation and scale. To that end, we design and build the underlying ML infrastructure, ensuring our systems remain fast, reliable, and at the forefront of technology. Our work blends innovation, engineering excellence, and a deep commitment to understanding our users, shaping how they discover and engage with content every day.
About the Role
We seek an outstanding, creative, and passionate Machine Learning Platform Engineer to join Roku's Recommendation team. In this role, you will design, build, and scale robust distributed systems that power the next generation of personalized content recommendations for millions of Roku users. You will focus on developing end-to-end machine learning platforms and infrastructure, ensuring seamless deployment, monitoring, and optimization of algorithms and operational workflows that deliver unique experiences at scale.
For California Only - The estimated annual salary for this position is between $229,500 - $360,000 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.
What You'll Be Doing
  • Design, build, and maintain scalable platform services: feature store, real-time inference services, vector DBs, etc., that serve millions of transactions per second
  • Run and monitor online AB tests via robust platform services, analyzing platform metrics and business KPIs to optimize recommendation system performance
  • Collaborate closely with US-based engineering and cross-functional teams to translate business requirements into modular platform components and APIs
  • Enhance and evolve the ML platform ecosystem to support high developer velocity, system scalability, and adaptability to future business needs
  • Contribute to onboarding, training, and mentoring new team members on emerging platform engineering best practices and technologies
We're Excited If You Have
  • 5+ years of experience building software solutions to concrete problems
  • Strong CS fundamentals. Should be able to write an algorithm with ease
  • You are fluent with one of the high-level programming languages like Java, Scala, Kotlin, or Python
  • We'd love to see that you've worked with big data systems (Spark, Kafka, Flink, S3, AirFlow)
  • Familiar with model ML framework and tools: Ray, PyTorch, HuggingFace, AWS Sagemaker
  • AI literacy and curiosity. You have either tried Gen AI in your previous work or outside of work, or are curious about Gen AI and have explored it.
  • MS in Computer Science or related field
#LI-SSC
What's Roku's approach to hybrid working?
Roku fosters an inclusive and collaborative environment where teams generally work in the office Monday through Thursday. Fridays are generally flexible for remote work, except for employees whose specific roles or assigned office location require five days' a week attendance.
What are some of the benefits?
Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
Accommodations
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
What should I know about Roku's culture?
Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.