Senior Machine Learning Engineer, Voice Assistant

Roku•Austin, TX

1d•Hybrid

About The Position

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.

Requirements

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

Nice To Haves

transformer-based models in production is a plus

Responsibilities

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