Senior Product Manager shaping software development and collaboration platforms for Woven by Toyota and the Toyota Group. Define product strategy, roadmaps, requirements, and user outcomes.
About this role
Woven by Toyota's Enterprise AI team provides Toyota and its affiliates with a machine-learning platform covering training, inference and MLOps. The Data Platform Software Engineer works in the data platform engineering team, which builds globally distributed data delivery and both human-assisted and automated data-labelling services.
As a backend engineer, the person develops labelling features with machine-learning engineers in other regions and serves very large datasets to users across countries. Duties include delivering features from design to deployment, building the labelling backend, supporting several training-data formats with real-time conversion, integrating with data sinks such as visualisation tools, and agreeing API contracts with frontend developers.
Applicants need at least four years of Python development, two of them in asynchronous Python, and basic machine-learning understanding, experience with large datasets and distributed computing, event-driven architecture with message queues, PostgreSQL and MongoDB, Kubernetes, three office days a week and business-level English. Open-source contributions, vector databases and PyTorch data loaders are preferred.
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