Senior Machine Learning Engineer, Voice Assistant

Roku; Austin (TX); Hybrid; USD 150,000 - 190,000; Full time

Benefits offered by this job

Hybrid work model

Remote Fridays

Job summary

Roku’s Entertainment Assistant team seeks experienced machine learning engineers to advance the core of Roku's Entertainment Assistant. You will work on state-of-the-art algorithms and cloud solutions, taking concepts from proof of concept to production.

Ideal candidates have 5+ years in ML/AI for NLU/ASR or advanced degrees with 3+ years, plus hands-on experience with large-scale systems, big data tools, and transformer-based models in production. Hybrid work model with in-office collaboration.

Qualifications

• Apply ML/AI to NLU or related domain with production experience.
• Build and deploy large-scale production systems and cloud components.
• Strong CS fundamentals and ability to write algorithms with ease.
• Experience with transformer-based models in production is a plus.
• Experience with big data tools and languages such as Java, Python, or C++.

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 proof of concept to production.
• Hands-on experience building large-scale production systems.
• Collaborate across teams to leverage best talent and ideas.
• Own initiatives and make pragmatic technical decisions.

Skills

ML/AI for NLU

Production systems

Algorithms

CS fundamentals

Self-driven

Education

Bachelor’s Degree preferred

Tools

Spark

EMR

S3

Airflow

Java

Python

C++

Job description

About the Team

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.

About the Role

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.

What You'll Be Doing

• 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

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

Approach to Hybrid Working

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.

Benefits

Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It’s important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.

Accommodations

Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to [e-mail].