Role Overview
Roku is hiring a Senior Machine Learning Engineer, Search. This is a full-time role in San Jose, California. Part of Roku's Data Science hiring, posted last week. The posted range is $361k to $510k. Full responsibilities, required qualifications, and the apply link are listed in the description below.
Salary Context
This role offers $361k-$510k. The median for Senior-level Data Science roles is $164k-$215k (based on 95 listings). 130% above median.
Resume Keywords to Include
Make sure these keywords appear in your resume to improve ATS scoring
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
Roku’s Entertainment Assistant team is building the next generation of AI-powered discovery experiences across the platform through text, voice, and conversational interactions. The team owns the end-to-end discovery stack, including language understanding, GenAI-powered experiences, retrieval systems, ML-driven ranking and personalization, and whole-page optimization.
We focus on delivering highly personalized and context-aware entertainment experiences while balancing user engagement, long-term retention, and monetization across Roku surfaces. Our systems leverage modern ML and GenAI techniques, including LLMs, reinforcement learning, multi-objective optimization, and agentic workflows, to help millions of users effortlessly discover content they love.
About the Role
We are looking for a Senior Machine Learning Tech Lead to drive ranking and personalization for Roku’s next-generation entertainment assistant across the platform. This role sits at the intersection of Search, Recommendations, Conversational Discovery, and Monetization, with the goal of delivering highly engaging, personalized, and context-aware entertainment experiences. You will lead the development of large-scale ML systems that optimize for multiple objectives including user engagement, long-term retention, satisfaction, and monetization. The role requires strong technical leadership, product intuition, and the ability to balance user experience with business impact across diverse discovery surfaces.
For California Only - The estimated annual salary for this position is between $361,300 - $510,000 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 Do
- Lead the technical vision and roadmap for ranking, personalization, and recommendation systems powering Roku’s entertainment assistant
- Develop and deploy state-of-the-art ML models using deep learning, transformers, LLMs, bandits, reinforcement learning, and causal inference techniques
- Build multi-objective optimization systems balancing engagement, retention, relevance, and monetization goals
- Drive innovation in conversational discovery, contextual recommendations, and personalized content experiences across the platform
- Design, run, and analyze online A/B experiments tied to key product and business KPIs
- Architect scalable ML systems, feature platforms, and data pipelines supporting rapid experimentation and long-term growth
- Mentor engineers and provide technical leadership across cross-functional initiatives involving engineering, product, UX, and analytics teams
We're Excited If You Have
- 8+ years of industry experience (or PhD with 5+ years) applying ML at scale in search, recommendation, ads, personalization, or related domains
- Strong expertise in ranking systems, recommendation systems, retrieval, personalization, and multi-objective optimization
- Experience building large-scale ML systems leveraging deep learning, sequence models, LLMs, reinforcement learning, or bandit frameworks
- Strong product intuition and experience optimizing user engagement, retention, and monetization simultaneously
- Proficiency in Python, Java, or Scala
- Experience with distributed systems and ML infrastructure such as Spark, Airflow, streaming systems, feature stores, and cloud platforms
- Strong technical leadership, system design, communication, and problem-solving skills
- MS or PhD in Computer Science, Statistics, or a 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.
About Roku
Roku
roku.com
137 other open roles at Roku on TryApplyNow.
Frequently Asked Questions
How do I apply for the Senior Machine Learning Engineer, Search position at Roku?
Use the Apply button above to submit your application directly to Roku. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.
Where is the Senior Machine Learning Engineer, Search position at Roku located?
This position is based in San Jose, California. Roku has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.
How much does the Senior Machine Learning Engineer, Search role at Roku pay?
Roku has posted a compensation range of $361k to $510k for this position. Final offers typically vary based on candidate experience, location, and internal salary bands.
When was the Senior Machine Learning Engineer, Search role at Roku posted?
This role was posted on July 12, 2026 (10 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.
How much experience does the Senior Machine Learning Engineer, Search role at Roku require?
This is a senior-level position. Most senior roles call for 5+ years of directly relevant experience. Roku lists their specific requirements in the description below, so review the must-have qualifications closely before applying.
Similar Jobs
Senior Associate, AI Data Scientist
Twgai
Data Scientist – Distance Learning & Continuing Education
Florida Atlantic University
Data Scientist – AI Solutions
(CAN) ChampionX Canada ULC
Data Scientist, Core Infrastructure
Stripe
Senior Data Scientist
Epic Games
More Jobs at Roku
View all →Software Engineer, Advanced Development
Roku
Director, Platform Operations – Payments & Commerce
Roku
Content Specialist Associate
Roku
Senior Indirect Procurement Manager
Roku
Director of Manufacturing Operations
Roku
AI-powered job search
Get every job scored to your resume
Upload your resume and get jobs ranked, your resume tailored, and employee contacts found automatically.
Get started freeNo credit card to start