Senior Machine Learning Engineer, Roku
Search & Recommendations
More information about location
4+ days a week in office
Convenient and affordable TV streaming players
Be an early applicant
Convenient and affordable TV streaming players
1001+ employees
Be an early applicant
More information about location
4+ days a week in office
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
- Communication and presentation skills are important. The role requires both high technical acumen and problem-solving abilities, motivation, and exceptional attention to detail. Every day, you'll look at what exists and find ways to make it better
- 8+ years of experience (or PhD with 6 years of experience) applying Machine Learning to concrete problems at large-scale in domains like recommendation or search or ads
- Strong CS fundamentals. Should be able covert 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
- We'd love to see that you've worked with big data systems (Spark, S3, and Airflow) and can program (Java, Scala, or Python)
- Good understanding of system architecture. Have experience in big data technologies and streaming architecture, data pipelines, etc
- MS in Computer Science, Statistics, or related field, but a Ph.D. in CS or related fields is preferred
What the job involves
- The depth of query, content and user understanding using ML is key to user happiness in their search journey
- Solving this customer problem is why we're actively looking for a Senior Machine Learning Engineer, Search & Recommendations to drive further innovation in search and discovery
- The person in this role will leverage their technical skills, business intuition, and analytical thinking to build best of class AI powered products
- Apply state of the art ML on search using techniques in deep learning, bandits, transformers, LLMs, causal inference, and optimisations to make our users more delighted and engaged on the platform
- Run online AB tests and analyse 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 monetisation
- Help in recruiting new engineers. Interview, train, and mentor new team members
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
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.
Salary benchmarks
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