Mozilla
Staff Machine Learning Engineer, Fakespot
Mozilla, San Mateo, California, United States, 94409
Staff Machine Learning Engineer, Fakespot
Team:
Fakespot
Locations:
Remote Canada, Remote USTo 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 link.Why Mozilla?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 dataDevelop and finetune machine learning models for tasks such as entity recognition, classification, and text generationUtilize pretrained language models (e.g. GPT, LLAMA) and adapt them for specific use casesOptimize the models for production usage, including considerations for scalability, latency, and resourceMonitor and refine deployed models for performance and efficiency, and conduct troubleshooting when necessaryWork closely with interdisciplinary teams to deliver high-quality features and solutionsStay current with advancements in NLP research, methodologies, and best practicesBe consistently productive and operate with a high degree of autonomyWhat you’ll bring:A bachelor’s degree in Statistics, Computer Science, related technical field, or equivalent practical experienceA minimum of 6 years of experience in a quantitative role, with ideally much of that as a machine learning engineer or a data scientistKnowledge 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 monitoringBeing 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 perspectivesAn ability to be self-directed after work is assigned and help less experienced team members to get unblockedCommitment to our values:Being relationship-mindedHaving gritAn advanced degree (master or PhD) in a quantitative fieldA deep understanding of deep learning, reinforcement learning, and natural language processingExperience with cloud platforms such as AWS, Google Cloud, or Azure, and familiarity with related machine learning servicesExperience with big data technologies like Hadoop, Spark, or similarDemonstrated prior experience with large language models, and generative AIEnthusiasm in bringing trust to the e-commerce platforms and beyondWhat you’ll get:Generous performance-based bonus plans to all regular employees - we share in our success as one teamRich medical, dental, and vision coverageGenerous retirement contributions with 100% immediate vesting (regardless of whether you contribute)Quarterly all-company wellness days where everyone takes a pause togetherCountry specific holidays plus a day off for your birthdayOne-time home office stipendQuarterly well-being stipendConsiderable paid parental leaveEmployee referral bonus programOther benefits (life/AD&D, disability, EAP, etc. - varies by country)About MozillaMozilla exists to build the Internet as a public resource accessible to all because we believe that open and free is better than closed and controlled. When you work at Mozilla, you give yourself a chance to make a difference in the lives of Web users everywhere. And you give us a chance to make a difference in your life every single day. Join us to work on the Web as the platform and help create more opportunity and innovation for everyone online.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 orientation s,
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 (including hairstyle and texture), religion (including religious grooming and dress practices), 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.At Mozilla, we’re serving humanity—by maintaining a safe, open internet—while alsohelping the individual humans employed here to reach their personal andprofessional goals. With a relatively small team serving hundreds of millions ofpeople, a culture of exploration, and a commitment to mentorship, opportunitiesabound to learn and grow at Mozilla.Purpose is built into our work, with our mission driving every decisionWe challenge assumptions, the status quo, ourselves, and each otherWe are transparent: in our code, our business partnerships, and our everydayinteractionsWe seek out people from diverse backgrounds and with perspectives differentfrom our ownWe pair purpose with performance and put people ahead of profitOur impact is global
1000+ paid staff from over 30 countriesThousands of volunteer contributors across six continents2 global offices: Berlin and Toronto9 coworking space locations: San Francisco, San Mateo, London, Paris, Portland, Tulsa, Vancouver, Chicago, and BellevueHundreds of home offices globallyOur benefits are world-class
Flexible work environment (majority of Mozillians work remotely)Industry-leading paid parental leave (up to 26 weeks of fully paid leave forchildbearing parents and up to 12 weeks for non-childbearing parents)Reimbursement for professional development (up to $3,000/year)A work setup including the latest hardware and software of your choice
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Team:
Fakespot
Locations:
Remote Canada, Remote USTo 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 link.Why Mozilla?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 dataDevelop and finetune machine learning models for tasks such as entity recognition, classification, and text generationUtilize pretrained language models (e.g. GPT, LLAMA) and adapt them for specific use casesOptimize the models for production usage, including considerations for scalability, latency, and resourceMonitor and refine deployed models for performance and efficiency, and conduct troubleshooting when necessaryWork closely with interdisciplinary teams to deliver high-quality features and solutionsStay current with advancements in NLP research, methodologies, and best practicesBe consistently productive and operate with a high degree of autonomyWhat you’ll bring:A bachelor’s degree in Statistics, Computer Science, related technical field, or equivalent practical experienceA minimum of 6 years of experience in a quantitative role, with ideally much of that as a machine learning engineer or a data scientistKnowledge 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 monitoringBeing 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 perspectivesAn ability to be self-directed after work is assigned and help less experienced team members to get unblockedCommitment to our values:Being relationship-mindedHaving gritAn advanced degree (master or PhD) in a quantitative fieldA deep understanding of deep learning, reinforcement learning, and natural language processingExperience with cloud platforms such as AWS, Google Cloud, or Azure, and familiarity with related machine learning servicesExperience with big data technologies like Hadoop, Spark, or similarDemonstrated prior experience with large language models, and generative AIEnthusiasm in bringing trust to the e-commerce platforms and beyondWhat you’ll get:Generous performance-based bonus plans to all regular employees - we share in our success as one teamRich medical, dental, and vision coverageGenerous retirement contributions with 100% immediate vesting (regardless of whether you contribute)Quarterly all-company wellness days where everyone takes a pause togetherCountry specific holidays plus a day off for your birthdayOne-time home office stipendQuarterly well-being stipendConsiderable paid parental leaveEmployee referral bonus programOther benefits (life/AD&D, disability, EAP, etc. - varies by country)About MozillaMozilla exists to build the Internet as a public resource accessible to all because we believe that open and free is better than closed and controlled. When you work at Mozilla, you give yourself a chance to make a difference in the lives of Web users everywhere. And you give us a chance to make a difference in your life every single day. Join us to work on the Web as the platform and help create more opportunity and innovation for everyone online.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 orientation s,
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 (including hairstyle and texture), religion (including religious grooming and dress practices), 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.At Mozilla, we’re serving humanity—by maintaining a safe, open internet—while alsohelping the individual humans employed here to reach their personal andprofessional goals. With a relatively small team serving hundreds of millions ofpeople, a culture of exploration, and a commitment to mentorship, opportunitiesabound to learn and grow at Mozilla.Purpose is built into our work, with our mission driving every decisionWe challenge assumptions, the status quo, ourselves, and each otherWe are transparent: in our code, our business partnerships, and our everydayinteractionsWe seek out people from diverse backgrounds and with perspectives differentfrom our ownWe pair purpose with performance and put people ahead of profitOur impact is global
1000+ paid staff from over 30 countriesThousands of volunteer contributors across six continents2 global offices: Berlin and Toronto9 coworking space locations: San Francisco, San Mateo, London, Paris, Portland, Tulsa, Vancouver, Chicago, and BellevueHundreds of home offices globallyOur benefits are world-class
Flexible work environment (majority of Mozillians work remotely)Industry-leading paid parental leave (up to 26 weeks of fully paid leave forchildbearing parents and up to 12 weeks for non-childbearing parents)Reimbursement for professional development (up to $3,000/year)A work setup including the latest hardware and software of your choice
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