Staff Machine Learning Engineer, Fakespot Remote Canada

Staff Machine Learning Engineer, FakespotRemote CanadaAbout 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: Being relationship-minded, having grit.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.Quarterly well-being stipend.Considerable paid parental leave.Employee referral bonus program.Other benefits (life/AD&D, disability, EAP, etc. - varies by country).Commitment to diversity, equity, inclusion, and belongingMozilla understands that valuing diverse creative practices and forms of knowledge are crucial to and enrich the company's core mission. We encourage applications from everyone, including members of all equity-seeking communities, such as (but certainly not limited to) women, racialized and Indigenous persons, persons with disabilities, persons of all sexual orientations, gender identities, and expressions.We will ensure that qualified individuals with disabilities are provided reasonable accommodations to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment, as appropriate. Please contact us at hiringaccommodation@mozilla.com to request accommodation.We are an equal opportunity employer. We do not discriminate on the basis of race, religion, gender, gender identity, gender expression, color, national origin, pregnancy, ancestry, domestic partner status, disability, sexual orientation, age, genetic predisposition, medical condition, marital status, citizenship status, military or veteran status, or any other basis covered by applicable laws. Mozilla will not tolerate discrimination or harassment based on any of these characteristics or any other unlawful behavior, conduct, or purpose.

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