Senior Software Engineer, Machine Learning

Roku, Inc.; India; Hybrid; INR 4,000,000 - 8,000,000; Full time

Benefits offered by this job

Mental health resources

Healthcare benefits

Retirement options

Job summary

Roku, Inc. is seeking a technical leader to drive ML-powered search ranking and monetization. You will shape the technical roadmap, apply advanced ML techniques, and collaborate with multi-disciplinary teams across the globe.

You will mentor engineers, influence system design, and contribute to a scalable ML platform that supports high-velocity development and a world-class user experience.

Qualifications

• 6+ years of experience applying ML to large-scale problems.
• Strong CS fundamentals and ability to convert ideas to code.
• Experience with big data systems and modern programming languages.
• Master's or PhD is preferred.
• Experience with agentic engineering tools such as Claude Code or Cursor is a plus.

Responsibilities

• Apply state-of-the-art ML on search using DL, transformers, LLMs, and related tech.
• Run online A/B tests and analyze KPIs.
• Collaborate with US and cross-functional teams to define specs.
• Grow and sustain the ML ecosystem for scale and velocity.
• Provide technical leadership for search ranking and monetization roadmap.
• Assist with recruiting, interviewing, and mentoring new engineers.

Skills

Machine Learning

Large-scale systems

Programming: Python/Java/Scala

NLP & multimodal learning

A/B testing

System design

Leadership / mentoring

Education

Master's degree in CS/Statistics

PhD in CS or related

Tools

Spark

S3

Airflow

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.

What does the team work on?

Roku Search team directly contributes to Roku's mission by helping connect users to the content they like and enabling content publishers to build and monetize large audiences. Our team builds state-of-the-art machine learning algorithms to optimize search relevance and highly scalable, reliable & low latency search platform infrastructure to power a delightful search experience.

What is the role?

Roku's footprint has more than quadrupled in the past five years, and user expectations have leaped just as fast—think LLM-based query understanding, vector-DB retrieval, on-device models, and multimodal search (voice, text, image). We're now rebuilding our relevance stack for the next decade, blending classic IR with generative-AI techniques. You will be a technical leader spearheading that transformation. You will apply state-of-the-art ML on search using techniques in deep learning, bandits, transformers, LLMs, causal inference, and optimizations to make our users more delighted and engaged on the platform. You will collaborate with US engineering teams as well as cross-functional teams to translate business requirements into technical specifications, and provide technical leadership to drive the technical and ML roadmap for search ranking and monetization. This is a high-impact role where you will nurture our ML ecosystem to withstand scale, developer velocity, and future business shifts.

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 are the responsibilities of the role?

• Apply state-of-the-art ML on search using techniques in deep learning, bandits, transformers, LLMs, causal inference, and optimizations to make our users more delighted and engaged on the platform
• Run online A/B tests and analyze them against the critical business KPIs
• Collaborate with US engineering teams as well as cross-functional teams to translate business requirements into technical specifications
• Nurture our ML ecosystem to make it withstand scale, developer velocity, and future business shifts
• Provide technical leadership to drive technical and ML roadmap for search ranking and monetization
• Help recruit new engineers, interview, train, and mentor new team members

What experience would help someone be successful in this role at Roku?

• 6+ years of experience (or PhD with 5 years of experience) applying Machine Learning to concrete problems at large-scale in domains like recommendation, search, or ads
• Strong computer science fundamentals with the ability to convert ideas to code with ease
• Good understanding of machine learning fundamentals like classification, deep neural nets, and sequence-based models; familiarity with modern NLP stack and multi-modal representation learning is a plus
• Experience working with big data systems (Spark, S3, and Airflow) and proficiency in Java, Scala, or Python
• Good understanding of system architecture
• Experience in big data technologies and streaming architecture, data pipelines, etc
• Master's degree in Computer Science, Statistics, or related field; PhD in Computer Science or related fields preferred
• 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

#LI-SJ1

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.

• 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

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 [e-mail].

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 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 [e-mail].