Machine Learning Engineer, Roku
Roku TV
$130-200k
+ Equity awards
Office located in San Jose, CA
Convenient & affordable TV streaming players
Job no longer available
Convenient & affordable TV streaming players
1001+ employees
Job no longer available
$130-200k
+ Equity awards
Office located in San Jose, CA
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
- 1+ years of experience applying Machine Learning to concrete problems at scale
- Strong CS fundamentals; ability to write efficient algorithms with ease
- Hands-on experience with Machine Learning / Deep Learning frameworks like TensorFlow or PyTorch
- Proficiency in coding firmware development using C++
- Proficiency in coding ML/DL algorithms using Python
- Solid understanding of DL fundamentals, including RNN, CNN, and multi-modal models
- Familiarity with video processing pipelines and audio pipelines
- AI literacy and curiosity—whether through previous work or personal exploration
- Excellent communication skills, strong work ethic, and works with minimum supervision
- Have hands-on experience with edge devices like jetson nano, kadas, and similar
- Research background preferred; ability to understand and implement technical papers on ML/DL
- Published papers in the field of ML/DL are a bonus
- Hold an MS or PhD in Computer Science, Electrical Engineering, or related fields - Preferred
What the job involves
- We are looking for a creative and passionate Machine Learning (ML) / Deep Learning (DL) Engineer to join the Roku TV team
- You will explore Picture Quality (PQ) and Audio Quality (AQ) improvements using AI in a resource-constrained environment, pushing the limits of what is possible in TV technology
- Additionally, this role will involve applying state-of-the-art ML techniques to different PQ and AQ related tasks
- You will play a critical role in building scalable systems and algorithms that enhance streaming experiences for millions of users worldwide
- Explore and implement AI-driven Picture Quality and Audio Quality improvements for Roku TV
- Apply advanced ML techniques in the optimization of models to enhance video and audio processing pipelines
- Research, understand, and implement technical papers on ML/DL to solve complex challenges
- Collaborate with engineering teams and cross-functional partners to translate business requirements into technical solutions
- Run experiments and analyze results against critical business KPIs
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. Then, after successful collaborations with TCL and Hisense, the first in-house "Roku Television" was released. In 2026, it was announced that media giant FOX would acquire Roku, which the companies say will create the third largest player in US TV by share of viewing.
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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