Jobs at Faire - Page 3

• Collaboration: Work closely with product managers, designers, engineering managers, and other stakeholders to significantly contribute to the success of Faire's business and engineering platform.
• Product Ownership: Share ownership of our product, contributing to ongoing improvements that enhance the customer experience.

• Develop the vision and strategy for Faire’s Risk team and execute on short and long-term goals ensuring they accelerate broader Faire business outcomes, including shaping Faire’s risk appetite across customer segments
• Bring industry expertise, experience and best practices (aka playbooks) across all the sub-fun...

• Develop the vision and strategy for Faire’s Risk team and execute on short and long-term goals ensuring they accelerate broader Faire business outcomes, including shaping Faire’s risk appetite across customer segments
• Bring industry expertise, experience and best practices (aka playbooks) across all the sub-fun...

• Lead cross-team and/or multi-phase projects from design through implementation.
• Collaborate with technical and non-technical stakeholders, bridging the gap between business problem and technical solution.

• Lead cross-team and/or multi-phase projects from design through implementation.
• Collaborate with technical and non-technical stakeholders, bridging the gap between business problem and technical solution.

• Lead cross-team and/or multi-phase projects from design through implementation.
• Collaborate with technical and non-technical stakeholders, bridging the gap between business problem and technical solution.

• Deliver core features of our Kotlin server
• Design and build new APIs used by our website and mobile app

• Break down complex and ambiguous strategic problems to uncover actionable insights
• Lead large cross-functional strategic initiatives that move company metrics in partnership with Product, Sales, Finance, Operations, Marketing, etc.

• Develop and execute a strategic vision for the Core Data Infrastructure platform at the product pillar and enterprise levels.
• Optimize processes for operational excellence in project management and system reliability.

• Develop and execute a strategic vision for the Core Data Infrastructure platform at the product pillar and enterprise levels.
• Optimize processes for operational excellence in project management and system reliability.

• Break down complex and ambiguous problems to uncover actionable, strategic insights
• Lead large cross-functional strategic initiatives that move company metrics in partnership with Product, Data Science, Engineering, Design, Finance etc.

• Search: Optimizing search through query understanding, retrieval, ranking, post-ranking and whole-page optimization with state-of-art technologies including embeddings, graph learning, deep learning and large language models (LLMs).
• Personalization: Personalizing recommendation surfaces through embeddings, near-real-time / st...

• Search: Optimizing search through query understanding, retrieval, ranking, post-ranking and whole-page optimization with state-of-art technologies including embeddings, graph learning, deep learning and large language models (LLMs).
• Personalization: Personalizing recommendation surfaces through embeddings, near-real-time / st...

• Design and build highly scalable machine learning systems that the entire company will use. Examples of these include (but are not limited to)

“Machine-Learning-as-a-service”
ML Model Training framework
Feature store, including batch and real-time feature computation, serving, and monitoring
Deep learning infrastructure that powers training and serving of Faire’s language and image models
Model prediction services to manage model deployment, inference and monitoring

• Design and build highly scalable machine learning systems that the entire company will use. Examples of these include (but are not limited to)

“Machine-Learning-as-a-service”
ML Model Training framework
Feature store, including batch and real-time feature computation, serving, and monitoring
Deep learning infrastructure that powers training and serving of Faire’s language and image models
Model prediction services to manage model deployment, inference and monitoring