3 months ago
Base Salary
$216k - $273k/yr
Responsibilities
- Design and develop software and algorithms for Roku’s entertainment assistant.
- Design and develop high-availability, high-performance cloud software components.
- Own initiatives end to end, from proof of concept through production deployment.
- Build, deploy, and maintain large-scale machine learning and voice systems.
- Evaluate alternative technical solutions, collaborate across teams, and make pragmatic technical decisions.
Requirements
- At least five years of industry experience applying ML or AI to NLU or a related domain, or an advanced degree with at least three years of experience.
- Experience with big data systems including Spark, EMR, S3, and Airflow, and proficiency in Java, Python, or C++.
- Strong understanding of regression, classification, ranking, neural networks, and sequence models for text or speech.
- Experience building challenging large-scale production systems and strong computer science and algorithmic fundamentals.
- Experience deploying and maintaining machine learning models, including identifying appropriate KPIs and objective functions; transformer-based models in production are a plus.
- Experience with advanced machine learning techniques, including LLMs and generative AI, and with production NLU and/or ASR systems.
- A bachelor's degree is preferred.
Benefits
- Health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off are offered.
- Additional benefits may include medical, dental, vision, accident, commuter, and retirement options, plus mental health and financial wellness support.
- Hybrid work generally requires office attendance Monday through Thursday, with Fridays flexible for remote work unless the role or location requires five days in the office.
Tech Stack
Categories
About Roku
Roku builds streaming players, Roku-branded TVs and audio gear, and the Roku OS licensed to TV manufacturers. Its platform supports ad-supported and subscription streaming, including The Roku Channel and Roku Originals, and underpins a significant advertising business. Founded in 2002 and headquartered in San Jose, it is a public company trading on NASDAQ under the ticker ROKU.