Senior Machine Learning Engineer, Voice Assistant

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.

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

Qualifications

Bachelor's Degree preferred

Skills

Self-driven, willing, and able to take complete ownership of initiatives and make pragmatic technical decisions

Benefits

The estimated annual salary for this position is between $229,500 - $367,000 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off

Pay

The estimated annual salary for this position is between $229,500 - $367,000 annually

Schedule

This role is eligible for a hybrid work approach with offices open Monday through Thursday and Fridays flexible for remote work, except for employees whose specific roles or assigned office location require five days' a week attendance.