
Empowering retailers with unique wholesale merchandise
Faire is a wholesale marketplace headquartered in San Francisco, California, that connects independent retailers with unique merchandise from over 20,000 brands. The platform offers flexible payment terms and free returns, making it easier for retailers to stock their stores with distinctive product...
Employees enjoy competitive salaries, equity options, generous PTO, and a remote-friendly work policy. Faire also offers a learning and development bu...
Faire fosters a culture of innovation and inclusivity, encouraging employees to take ownership of their projects and contribute to the company's missi...

Faire • Kitchener-Waterloo, ON; Toronto, ON
Faire is seeking a Staff Applied AI/ML Scientist to drive the technical vision and ML algorithm strategy for their Search Group. You'll work with technologies like machine learning and natural language processing to enhance e-commerce experiences. This role requires expertise in AI and a strong background in algorithm development.
You have a strong background in applied machine learning and artificial intelligence, with a focus on developing algorithms that enhance user experiences. Your experience includes working with natural language processing and deep learning techniques, allowing you to create innovative solutions that drive customer engagement. You are proficient in Python and have a solid understanding of machine learning frameworks and libraries. You thrive in collaborative environments, working closely with cross-functional teams to translate complex technical concepts into actionable strategies. You are passionate about leveraging technology to support independent businesses and contribute to their growth in the e-commerce landscape.
Experience with large language models and transformer-based architectures is a plus, as is familiarity with real-time search and recommendation systems. You have a keen interest in the latest advancements in AI and are eager to apply them in practical settings. Your ability to communicate effectively with both technical and non-technical stakeholders will be invaluable in this role.
As a Staff Applied AI/ML Scientist, you will lead the development of machine learning algorithms that power search and recommendation systems for Faire's platform. You will be responsible for defining the technical vision and strategy for these systems, ensuring they meet the needs of independent retailers and enhance their shopping experiences. You will collaborate with product managers, engineers, and data scientists to design and implement scalable solutions that leverage real-time data. Your role will involve conducting experiments to validate algorithm performance and iterating on designs based on user feedback and data analysis. You will also mentor junior team members, sharing your expertise and fostering a culture of innovation within the team.
At Faire, you will be part of a mission-driven company that values community and supports independent businesses. We offer a collaborative work environment where your contributions will have a direct impact on our users and their success. You will have access to professional development opportunities and the chance to work with cutting-edge technologies in the AI and machine learning space. We believe in work-life balance and offer flexible working arrangements to accommodate your needs. Join us in our commitment to empowering local businesses and making a positive economic impact globally.
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