Staff Machine Learning Engineer, Fakespot

Staff Machine Learning Engineer, Fakespot

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Canada

Remote

Role Highlights

SQL

Python

NLP

Generative AI

Text Generation

Computer Science

Social Media

Security

ECommerce

Statistics

TroubleShooting

Research

Quantitative

Deployment

PhD

Cloud

LLMs

Server

Tools, Libraries and Frameworks

GCP

AWS

Hadoop

Description

Fakespot, a part of Mozilla, leverages machine learning and language models to detect fake product reviews and help consumers make informed decisions. The role involves applying statistical and machine learning techniques to process unstructured textual data, and developing machine learning models for various tasks such as entity recognition and text generation. Required skills include proficiency in SQL and Python, and experience with the full lifecycle of machine learning models. The role also values knowledge in NLP, collaboration, and the ability to work autonomously.

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Mozilla Corporation, backed by the non-profit Mozilla Foundation, focuses on Internet technology innovation for public accessibility and utility, differentiating itself by promoting an open-source environment and prioritizing privacy and user choice through products like Firefox and Pocket. Over the last 25 years, Mozilla has actively contributed to shaping a user-centric internet, standing against shareholder pressures to maintain independence and uphold its mission. The company collaborates globally with volunteers to develop software solutions aimed at offering more personalized and secure online experiences. Mozilla’s ongoing projects span diverse areas including AI, social media, and security, all while upholding a commitment to an open internet built for the well-being of users.