Tier 1 US Locations: $217,000 USD - $315,000 USD
Tier 2 US Locations: $199,000 USD - $290,000 USD
Tier 3 US Locations: $184,000 USD - $268,000 USD
Mozilla Corporation is the non-profit-backed technology company behind pioneering brands like Firefox, the privacy-minded web browser, and Pocket, a service for keeping up with the best articles online. More than 225 million people around the world use its products each month.
Along with 60,000+ volunteer contributors and collaborators all over the world, Mozilla Corporation’s staff are driven by our mission to ensure the internet is a global public resource, open and accessible to all. We 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:
Lead analytics projects, designing, developing, and deploying state-of-the-art machine learning models in line with business interests, particularly those related to enhancing the online shopping experience of our users
Harness your expertise in acquiring and processing large-scale and complex datasets from diverse sources, utilizing it for analysis and modeling by the team
Implement robust validation and testing procedures to ensure the developed models' generalizability and reliability
Continuously monitor and optimize deployed models for performance and efficiency, and conduct troubleshooting when necessary
Collaborate with other members in the data science team to brainstorm ideas, and search for optimal solutions
Work closely with the engineering, product management, and product design teams to deliver high-quality features and solutions
Be involved in the full lifecycle of machine learning models, from development to deployment and monitoring, to ensure the models are effectively integrated into the production environment and continually optimized for performance
Proactively stay abreast of the latest advancements in machine learning, natural language processing, and related fields to ensure our methodologies remain innovative and relevant
Lead and mentor junior machine learning engineers, providing hands-on guidance where needed
What you’ll bring:
A bachelor’s degree in Statistics, Computer Science, related technical field, or equivalent practical experience
A minimum of 5 years of experience in a quantitative role, ideally as a machine learning engineer or a data scientist
Extensive knowledge of and experience with analyzing large-scale dataset utilizing statistical and machine learning tools
Proficiency in a data query language (e.g. SQL), and a programming language (e.g. Python)
Extensive experience with deep learning frameworks (e.g. Pytorch, Tensorflow, Jax), and deep learning architectures (e.g. Transformer, RNN)
Demonstrable experience with the full lifecycle of machine learning models - from development to deployment and monitoring
Being goal-oriented with an independent problem solver with minimal supervision
Enjoyment for taking ownership while engaging in collaborative efforts to fully comprehend the needs of other teammates
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
Commit to our values:
Practicing responsible participation
Bonus Points For…
An advanced degree (master or PhD) in a quantitative field
Over 7 years of experience as a machine learning engineer or in a similar role
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
Experience with design of experiments, survey design, and large-scale AB testing
Contributions to open-source projects in the machine learning community
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)
Mozilla exists to ensure that the internet is 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 and inclusion
Mozilla believes in the value of diverse creative practices and forms of knowledge, and knows diversity, equity and inclusion 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 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 firstname.lastname@example.org 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.Apply now