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    Staff Machine Learning Engineer, Fakespot - Toronto, Canada - Mozilla

    Mozilla
    Mozilla Toronto, Canada

    5 days ago

    Mozilla background
    Description

    Staff Machine Learning Engineer, Fakespot

    at Mozilla Corporation Team: ProdOps Locations: Remote Canada, Remote US

    To learn the Hiring Ranges for this position, please select your location from the Apply Now dropdown menu.

    To learn more about our Hiring Range System, please click this

    Why Mozilla?

    Mozilla Corporation is the non-profit-backed technology company that has shaped the internet for the better over the last 25 years. We make pioneering brands like Firefox, the privacy-minded web browser, and Pocket, a service for keeping up with the best content online. Now, with more than 225 million people around the world using our products each month, we're shaping the next 25 years of technology and helping to reclaim an internet built for people, not companies. Our work focuses on diverse areas including AI, social media, security and more. And we're doing this while never losing our focus on our core mission – to make the internet better for people.

    The Mozilla Corporation is wholly owned by the non-profit 501(c) Mozilla Foundation. This means we aren't beholden to any shareholders — only to our mission. Along with thousands of volunteer contributors and collaborators all over the world, Mozillians design, build and distribute open-source software that enables people to enjoy the internet on their terms.

    About this team and role:

    Fakespot is now part of Mozilla, where our mission to bring trust and transparency back to the eCommerce space is now aligned with ensuring the Internet is a global resource, open and accessible to all. Fakespot leverages machine learning, and other state-of-the-art technologies to detect spurious product reviews and vendors so consumers can make informed purchasing decisions based on real feedback by real people. Fakespot also facilitates the shoppers' decision making process by utilizing language models to interactively summarize and highlight product features.

    At the Fakespot team, you will have the opportunity to play a crucial role in bringing trustworthy tools to millions of Firefox and Fakespot users. By joining our team, you will be at the forefront of ethical and responsible AI, and contribute to a trustworthy Internet.

    What you'll do:

  • Apply statistical and machine learning techniques to process and analyze unstructured textual data
  • Develop and finetune machine learning models for tasks such as entity recognition, classification, and text generation
  • Utilize pretrained language models (e.g. GPT, LLAMA) and adapt them for specific use cases
  • Optimize the models for production usage, including considerations for scalability, latency, and resource
  • Monitor and refine deployed models for performance and efficiency, and conduct troubleshooting when necessary
  • Work closely with interdisciplinary teams to deliver high-quality features and solutions
  • Stay current with advancements in NLP research, methodologies, and best practices
  • Be consistently productive and operate with a high degree of autonomy

    • What you'll bring:

  • A bachelor's degree in Statistics, Computer Science, related technical field, or equivalent practical experience
  • A minimum of 6 years of experience in a quantitative role, with ideally much of that as a machine learning engineer or a data scientist
  • Knowledge of and expertise in Natural Language Processing (NLP)
  • Proficiency in a data query language (e.g. SQL), and a programming language (e.g. Python)
  • Demonstrable experience with the full lifecycle of machine learning models - from development to deployment and monitoring
  • Being an excellent team player with a proven ability to work effectively in cross-functional teams, showing a high degree of collaboration, flexibility, and respect for diverse perspectives
  • An ability to be self-directed after work is assigned and help less experienced team members to get unblocked
  • Commitment to our values:
  • Welcoming differences
  • Being relationship-minded
  • Practicing responsible participation
  • Having grit

    • Bonus Points For...

  • An advanced degree (master or PhD) in a quantitative field
  • A deep understanding of deep learning, reinforcement learning, and natural language processing
  • Experience with cloud platforms such as AWS, Google Cloud, or Azure, and familiarity with related machine learning services
  • Experience with big data technologies like Hadoop, Spark, or similar
  • Demonstrated prior experience with large language models, and generative AI
  • Enthusiasm in bringing trust to the e-commerce platforms and beyond

    • What you'll get:

  • Generous performance-based bonus plans to all regular employees - we share in our success as one team
  • Rich medical, dental, and vision coverage
  • Generous retirement contributions with 100% immediate vesting (regardless of whether you contribute)
  • Quarterly all-company wellness days where everyone takes a pause together
  • Country specific holidays plus a day off for your birthday
  • One-time home office stipend
  • Annual professional development budget
  • Quarterly well-being stipend
  • Considerable paid parental leave
  • Employee referral bonus program
  • Other benefits (life/AD&D, disability, EAP, etc. - varies by country)
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