Job Overview

Job Title Machine Learning Engineer
Hiring Organization Mozilla
Company Website https://www.mozilla.org/en-US/
Remote Locations Worldwide
Job Type Remote, Full-Time

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.

About Mozilla

Mozilla 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.

Job Responsibilities

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

Job Requirements

A bachelor’s degree in Statistics, Computer Science, related technical field, or equivalent practical experience
A minimum of 3 years of experience in a quantitative role, ideally as a machine learning engineer or a data scientist
Knowledge of and experience with 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
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

Employee Benefits

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)