Senior Software Engineer, Machine Learning

New Today

About the Role

 

Roku is building a world class voice system that is used by millions of Roku users. The Roku Voice 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 the Roku Voice product 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 voice system 
  • 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 hands on experience in building challenging production systems
  • Strong CS fundamentals, with the ability to write algorithms with ease
  • Good understanding of machine learning fundamentals like regression, classification, ranking, neural networks, and sequence models for text/speech
  • Experience with advanced machine learning techniques, including LLM and generative AI
  • Proven 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 working with big data systems (Spark, EMR, S3, Airflow) and programming languages (Java, Python, C++)
  • Experience building in-production NLU and/or ASR systems
  • Bachelor Degree required. MS in Computer Science or a Ph.D. in CS or related fields is preferred 

    •  #LI-GL1

    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). Our employees can take time off work for vacation and other personal reasons to balance 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.

    The Roku Culture

    Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV. 

    We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002. 

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    Location:
    Cambridge
    Job Type:
    FullTime