Currently tracking 22 active AI roles, up 13% versus the prior 4 weeks. Primary focus: Serve · Engineering. Salary range $300k.
Baseten currently has 26 active AI-related job listings. The majority of these roles, 69%, are focused on serving infrastructure. The dominant function is Engineering, with 24 roles, and hiring is concentrated in the United States. Frequent tech tags include model serving, inference infrastructure, and LLM observability, suggesting a focus on the operational aspects of AI deployment. In the last 30 days, Baseten posted 3 new AI roles, a 25% decrease compared to the previous 30-day period.
Baseten currently has 26 active AI-related roles in our index. The most common open titles are: AI Solutions Engineer, Applied AI Inference Engineer, Data Engineer, Engineering Manager - Forward Deployed Engineering (LLM), Engineering Manager - Model Performance. Most positions are in Engineering and Research.
Baseten's active AI hiring is concentrated in: serving infrastructure (73%), post-training (12%), agents (8%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Baseten is hiring AI talent in: United States (26 roles).
Job postings at Baseten most frequently reference: model serving, inference infra, llm observability, agent orchestration, tool use.
In the past 30 days, Baseten has posted 2 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Post-Training Research Engineer Baseten is seeking a Post-Training Research Engineer to build in-house tooling for post-training AI models at scale. This role involves deep technical dives into ML techniques, distributed computing, and systems-level concepts to support customer custom models, which are critical for Baseten's inference platform. | Post-train | 9 |
| Post-Training Research Scientist Research Scientist focused on post-training methodology and performant inference, with a significant portion dedicated to pure research and the remainder to applied research informing the company's platform and customer needs. The role involves designing and executing experiments, publishing at top venues, and collaborating with engineering teams to translate research into production systems. | Post-trainServe | 9 |
| Software Engineer - Training Product Software Engineer focused on building and shipping training products for AI companies, working across the full stack from API to infrastructure, including fine-tuning models and partnering with research engineers. The role involves developing features like multi-node training and serverless RL, with a focus on developer experience and reliability. | Post-trainServe | 7 |