Senior Machine Learning Engineer, Content Platform

Posted Yesterday
Be an Early Applicant
San Jose, CA, USA
In-Office
141K-361K Annually
Senior level
News + Entertainment
The Role
Lead machine learning strategy and architecture for Roku’s Content Platform. Build and deploy scalable ML products using generative AI and vision models to improve content quality, discovery, and engagement. Guide MLOps infrastructure, bridge AI research with production delivery, partner with Product, Engineering, and Content Strategy, and balance long-term innovation with incremental releases and measurable business outcomes.
Summary Generated by Built In
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

Roku offers millions of options to our users: movies, shows, news, sports, and channels from all around the world. The Roku Content Platform is key to onboarding content into the Roku ecosystem, delighting our customers. Building a content knowledge platform that provides insights to downstream systems like Search, Recommendations, Ads, and Voice to shape customers' experiences is why we’re actively looking for a Senior Machine Learning Engineer who can drive further innovation.

About the Role

The person in this role will leverage their technical skills, business intuition, and analytical thinking to build best-in-class machine learning products. This includes integrating Generative AI capabilities and Vision Models to enrich content quality and user engagement. This is a role for a hardened ML practitioner and a highly skilled organizational leader. You will be the architectural and operational bridge between deep AI research and fast-paced product delivery. If you know how to build a 3-year vision for content discovery and translate it into 2-week shipping cycles, this is your team.

For California Only - The estimated annual base salary for this position is between $141,300 - $360,700. 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.

How will I use AI at Roku? 

At Roku, we don’t just use AI, we work with it. AI agents and smart tools help power drafts, analysis, and repetitive workflows, while our people bring direction, judgment, and accountability. We’re looking for curious, adaptable builders who can show how they’ve used AI or automation to move faster, raise the bar, and scale their impact. 

We value your AI skills if you have built fluency across the agentic engineering toolchain — coding harnesses like Claude Code or Cursor, MCP servers, custom skills, or agent frameworks. And you can describe projects where you shipped real work with these tools. You know how to drive an agent, verify its output, and ramp on an unfamiliar codebase with an agent helping you.  

What You’ll Be Doing
  • Vision & Strategy: Define the roadmap for ML within the Content Platform
  • Technical Leadership: Provide high-level guidance on model architecture and MLOps infrastructure to ensure models are scalable and production-ready
  • Cross-Functional Execution: Partner with Product, Engineering, and Content Strategy to align ML initiatives with business goals
  • Delivery: Champion a culture of incremental delivery. Balance long-term R&D with the need to deliver measurable improvements to the production environment
We’re Excited If You Have
  • 10+ years of total experience in software/ML engineering
  • MS or BS in Computer Science, Mathematics, or a related quantitative field
  • Deep theoretical and practical understanding of Machine Learning
  • You understand the business of streaming and how ML directly impacts the bottom line
  • You can explain complex models to a non-technical executive just as easily as you can debate architecture with a seasoned engineer
  • Proven track record of deploying large-scale ML models into production environments
  • Experience with modern ML stacks (e.g., LLMs, PyTorch, TensorFlow, Spark, and cloud-native MLOps tools)

#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 [email protected].


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 [email protected].

Skills Required

  • 10+ years of total experience in software or machine learning engineering
  • BS or MS in Computer Science, Mathematics, or a related quantitative field
  • Deep theoretical and practical understanding of machine learning
  • Understanding of the streaming business and how machine learning impacts business outcomes
  • Ability to explain complex models to non-technical executives and debate architecture with experienced engineers
  • Proven experience deploying large-scale machine learning models into production environments
  • Experience with modern machine learning stacks, including LLMs, PyTorch, TensorFlow, Spark, and cloud-native MLOps tools
  • Experience using AI or automation tools such as coding harnesses, MCP servers, custom skills, or agent frameworks

Roku Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Roku and has not been reviewed or approved by Roku.

  • Fair & Transparent Compensation Pay is positioned as competitive across many roles, with frequent emphasis on strong base and total compensation relative to market expectations. Fair-pay perception appears comparatively stronger than overall satisfaction with the broader rewards package.
  • Healthcare Strength Healthcare coverage is framed as a standout, with sizable employer premium contributions that can reduce employee premiums significantly depending on plan choice. Preventive care and mental-health support are also described as part of the core offering.
  • Leave & Time Off Breadth Time-off offerings are presented as broad, including paid holidays, PTO, and multiple leave categories such as bereavement and family-related leave. Self-managed or “unlimited” PTO is also described for many salaried roles, supporting flexibility in taking time off.

Roku Insights

Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: San Jose, CA
2,724 Employees
Year Founded: 2002

What We Do

Roku pioneered streaming to the TV. We connect users to the streaming content they love, enable content publishers to build and monetize large audiences, and provide advertisers with unique capabilities to engage consumers. Roku streaming players and Roku TV™ models are available around the world through direct retail sales and licensing arrangements with TV OEMs and service operators.

Similar Jobs

MetLife Logo MetLife

Consultant

Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Remote or Hybrid
United States
43000 Employees
59K-99K Annually

Coursera + Udemy  Logo Coursera + Udemy

Lead, Retention Strategy

Artificial Intelligence • Consumer Web • Edtech • Enterprise Web • HR Tech • Social Impact • Generative AI
Remote or Hybrid
United States
1500 Employees
137K-174K Annually

HiBob Logo HiBob

People and Culture Partner

HR Tech • Information Technology • Professional Services • Sales • Software
Remote or Hybrid
United States
1350 Employees
120K-150K Annually

HiBob Logo HiBob

Sales Engineer

HR Tech • Information Technology • Professional Services • Sales • Software
Remote or Hybrid
United States
1350 Employees
108K-145K Annually

Similar Companies Hiring

TIDAL Thumbnail
Software • News + Entertainment • Mobile • Information Technology • Music • Consumer Web
New York, NY
450 Employees
Sandbox VR Thumbnail
Events • Gaming • News + Entertainment • Retail • Virtual Reality
Tsim Sha Tsui East, Kowloon
650 Employees
Hedra Thumbnail
Software • News + Entertainment • Marketing Tech • Generative AI • Enterprise Web • Digital Media • Consumer Web
San Francisco, CA
14 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account