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Posted 2 weeks agoSenior Applied AI/ML Scientist - Listing Quality
at Faire
Toronto, CanadaHybrid
Responsibilities
- Drive data science vision, strategy, and execution on Listing Quality, using ML and AI solutions to improve the quality of Faire’s product listings.
Requirements
- At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe.
- Faire leverages the power of machine learning and data insights to revolutionize the wholesale industry, enabling local retailers to compete against giants like Amazon and big box stores.
- We are dedicated to building machine learning models that help our customers thrive.
- You will use ML and AI to tackle critical challenges, such as enhancing image and text quality, extracting structured product attributes, and accurately identifying duplicates and product variants.
- You will leverage deep learning, multi-modal LLMs, and human-in-the-loop training to create high performance solutions.
- This space has been evolving rapidly with advancements in AI and you will be at the forefront of applying the latest technology to drive real-world impact.
- Use deep learning, LLM fine tuning, and human-in-the-loop training to automatically detect and address issues with high accuracy.
- experience using machine learning to solve real-world problems •
- Experience with relevant business problems (e.g. e-commerce) •
- Experience with relevant technical methods (e.g. LLM fine tuning, deep learning, or human-in-the-loop machine learning)
- The ability to design and implement ML solutions without supervision
- Strong communication skills and the ability to work in a highly cross-functional team Great to Haves:
- Master’s or PhD in Computer Science, Statistics, or related STEM fields is highly recommended Previous
- experience in listing quality for e-commerce Previous
- experience in supervised fine tuning of multi-modal LLMs •
- Faire uses Artificial Intelligence (AI) to screen and select applicants for this position.
- Equipped to scale: We invest in what matters, including the latest enterprise AI tools, to help you work smarter and get more out of every day.