Weights & Biases
Data AI · ML experiment tracking
Weights & Biases currently has 47 active AI-related job listings. The majority of these roles, 51%, are focused on serving infrastructure, with an additional 34% dedicated to agents. Engineering is the primary function being hired for, with the United States being the dominant hiring country. The company is frequently seeking candidates with experience in model serving, inference infrastructure, and LLM observability. Over the last 30 days, there has been a 75% decrease in new AI roles posted, with 4 new positions compared to 16 in the preceding 30-day period.
Currently tracking 35 active AI roles, down 14% versus the prior 4 weeks. Primary focus: Serve · Engineering. Salary range $92k–$341k (avg $211k).
Data AI · ML experiment tracking
Weights & Biases currently has 45 active AI-related roles in our index. The most common open titles are: Account Solution Architect (5), Account Solutions Architect - Greenfield (2), Account Solution Architect - Financial Services, Applied AI Engineer, Inference, Forward Deployed Engineer, AI Agents. Most positions are in Engineering and Product.
Weights & Biases's active AI hiring is concentrated in: serving infrastructure (51%), agents (38%), application (4%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Weights & Biases is hiring AI talent in: United States (43 roles), United Kingdom (2 roles), Canada (1 role).
Job postings at Weights & Biases most frequently mention: GPU Computing, Kubernetes, Production ML Systems, ML Ops, Storage Systems.
In the past 30 days, Weights & Biases has posted 5 new AI-related roles. That is a -50% change versus the prior 30 days (10 → 5).
| Title | Stage | AI score |
|---|---|---|
| Senior Applied Research Engineer The OpenPipe team at CoreWeave is building tools to help agents learn from experience, focusing on solving bottlenecks for self-improving agents. This role involves applied research to enable continuous learning in production, working with LLM post-training techniques and agent development. | Post-trainAgent | 9 |
| Staff Applied Research Engineer CoreWeave's OpenPipe team is building tools for agents to learn from experience, aiming to make them reliable for autonomous long tasks. The role involves applied research to solve obstacles in continuous learning for production, focusing on LLM post-training, reinforcement learning, and agent development. The team has released tools like ART, RULER, and Serverless RL, and is seeking someone with deep expertise in LLM training and a strong research background to contribute to self-improving agents. | Post-train |
| 9 |