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Lead the design and deployment of recommendation systems, mentor team members, collaborate across functions, and innovate using emerging ML techniques.

The Senior Data Engineer will develop and manage data pipelines and models, enhance engineering efficiency, and mentor junior engineers while supporting various partner teams.

The Senior Data Platform Engineer will architect and build a scalable data platform, enabling teams to manage data with self-serve capabilities using modern tools. Responsibilities include developing microservices, leading technical initiatives, and promoting data governance and observability, collaborating with diverse stakeholders, and mentoring team members.

The role involves leading the Community Experience squad to improve customer support tooling and experiences, managing and guiding engineers while ensuring high-quality delivery and effective collaboration across teams.

The Staff Data Scientist will enhance marketing performance analysis through methodologies like MTA and LTV modeling, while collaborating with senior leadership to drive data-driven strategies.

The Workplace Manager leads workplace operations and experience, ensuring efficiency, scalability, and excellent employee experiences across offices. Responsibilities include managing teams, projects, vendor relations, and program management.

Join Depop as a Senior Machine Learning Engineer to design and implement ML pipelines for recommendations, collaborating with teams to enhance product personalization.

Depop seeks a Senior Machine Learning Engineer for the Ranking team to develop and maintain machine learning systems for personalized rankings. Responsibilities include designing training pipelines, collaborating with ML scientists, and optimizing model serving systems.

Seeking an experienced Backend Engineer to develop scalable applications, collaborate with cross-functional teams, and produce high-quality code in a fast-paced environment.

Lead and mentor a team of Machine Learning Scientists, translate business needs into actionable ML roadmaps, and implement best practices for ML workflows.