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2 hours ago
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Full time
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mlops ml engineering weights & biases model registry experiment trackingπ Description
- Own commercial and technical strategy for AI developer tooling to win customers.
- Drive opportunities where gaps in experiment tracking, model versioning, or LLM observability exist.
- Build depth in AI dev tooling using W&B Models and Weave as flagship examples.
- Translate customer requirements into product feedback for the AI Developer Services roadmap.
- Develop deal structures, technical playbooks, and narratives to accelerate opportunities.
- Engage with ML engineering leads, platform teams, and AI developers on governance and production ML practices.
π― Requirements
- 10+ years in ML engineering, MLOps, or AI platform dev with revenue outcomes.
- 5+ years in experiment tracking, model registry, or LLM observability with W&B or Weave.
- Deep knowledge of ML lifecycle: experiment mgmt, hyperparameters, dataset/versioning, eval.
- LLM app patterns: prompts, RAG, agent eval; observability; knowledge of W&B/Weave.
- Experience with enterprise ML platform teams on governance and scaling AI.
- Ability to benchmark and position tooling against customer MLOps maturity.
π Benefits
- Medical, dental, and vision insurance.
- 401(k) with employer match.
- Flexible PTO.
- Tuition Reimbursement.
- Employee Stock Purchase Program (ESPP).
- Mental wellness benefits.
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