Senior Machine Learning Engineer, Roku
Voice Assistant
$216-273.4k
Plus equity
5 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
$216-273.4k
Plus equity
5 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
- 5+ years of industry experience (or advanced degree with 3+ years) applying ML/AI to NLU or related domain
- Experience working with big data systems (Spark, EMR, S3, Airflow) and programming languages (Java or Python, or C++)
- Good understanding of machine learning fundamentals like regression, classification, ranking, neural networks, and sequence models for text/speech
- Hands-on experience in building challenging production systems
- Strong CS fundamentals, with the ability to write algorithms with ease
- Familiarity and experience deploying and maintaining machine learning models (transformer-based models in production is a plus), including identifying the right KPIs and objective functions
- Experience with advanced machine learning techniques, including LLM and generative AI
- Experience building in-production NLU and/or ASR systems
- Bachelor's Degree preferred
What the job involves
- The Roku Voice team is responsible for Roku's Voice product, which is used by millions of Roku users
- We allow our users to easily and effortlessly control their TV, find content to stream, and more, all through the power of their voice. We deliver this engaging and delightful experience to our users through state-of-the-art technologies and platforms
- Roku's Entertainment Assistant team is looking for ambitious, experienced machine learning engineers with a background in one or more of the following areas: artificial intelligence, natural language understanding, machine learning, automated speech recognition, conversational systems, and building large-scale production systems
- You have a once-in-a-lifetime opportunity to contribute to building the very core of Roku's Entertainment Assistant and be part of a world-class team
- Design and develop software and algorithms for Roku’s state-of-the-art entertainment assistant
- Design and develop software components for high-availability and high-performance cloud solutions
- End-to-end responsibility from developing a proof of concept to production
- Have a strong programming background with a lot of hands-on experience in building large-scale production systems
- Strong algorithmic background and like intellectual challenges and solving complex problems
- Working across teams and pulling in the best talent from the organization to achieve your goals
- Contribute with new ideas and evaluate multiple solutions with your peers before settling down on specific solutions
- You are self-driven, willing, and able to take complete ownership of initiatives and make pragmatic technical decisions
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
- Free snacks and access to the company fitness center
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.
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