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# Machine Learning Engineer, Voice Assistant

- **Company:** RKS VOICE, LLC.
- **Location:** Boston, MA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $216,000.0 - $273,400.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Airflow, Amazon S3, Artificial Neural Networks, Big Data, C++ (Programming Language), Python (Programming Language), Machine Learning, Speech Recognition, Large Language Models, Apache Spark, Deep Learning, Electronic Medical Records, Generative AI, Natural Language Understanding, Programming Languages
- **Published:** July 17, 2026
- **Apply:** https://www.dice.com/job-detail/752d6beb-4f87-4eb0-9e59-2b82df250b2a

## About the Role

* 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

We're Excited If You Have

 * 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

#LI-SSC

What's Roku's approach to hybrid working?

## Description

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., Roku fosters an inclusive and collaborative environment where teams generally work in the office Monday through Thursday. Fridays are generally flexible for remote work, except for employees whose specific roles or assigned office location require five days' a week attendance.


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