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Weights & Biases is seeking an experienced software engineer to own the architecture and evolution of core ML workflow systems, including Artifacts, Registry, and Automations.
Designing scalable, high-throughput systems across the full stack—from Go backends to TypeScript frontends—will be core to the role. You will lead technical initiatives and mentor other engineers while collaborating with cross-functional teams.
Own the architecture and evolution of core ML workflow systems, including Artifacts, Registry, and Automations. Design scalable systems for high-volume event throughput and collaborate across the full stack from Go backends to TypeScript frontends.
Requires 6+ years of software engineering experience with strong proficiency in Go or another compiled language and working knowledge of Python. Candidates must have a track record of leading technical initiatives and mentoring other engineers.