Founding AI Research Lead - Agentic AI Lab
Fabrion· Engineering
San Francisco Bay AreaFull-timePosted 1mo ago
About the role
Founding AI Research Lead responsible for owning the research agenda, guiding model design and deployment, and growing a small team within Fabrion’s Agentic AI Lab to develop trusted enterprise AI infrastructure.
Responsibilities
- Own the research agenda: model and training design, evaluation protocol, and the publication plan
- Take models from public benchmark results to live customer shadow deployments, with gates you define and defend
- Set the benchmark discipline: strong baselines first, published comparables cited, results that survive scrutiny
- Lead and grow a small team (ML engineer, data engineer, contractors) and pair closely with the founders and platform team
- Write technical plans internally and papers externally when results warrant it
Qualifications
- Hands-on experience training sequence models, owning the tokenizer, the training loop, and the evaluation, not only fine-tuning through APIs
- Strong background in at least two of: reinforcement learning (offline and imitation settings), sequence decision modeling, structured or constrained generation, learning from event and log data
- A track record of shipping research into a product or landing a rigorous benchmark result
- PhD in machine learning or a closely related field, or an equivalent research record
- Preferred Tech Stack: PyTorch, the Hugging Face ecosystem, experiment tracking and reproducible training pipelines, modern cloud data warehouses, evaluation harness engineering
Skills
Required:Model training and evaluationReinforcement learning / sequence decision modelingProductized researchLeadership and mentoring
Last updated Sep 9, 2026. Interested? Apply on the company site.
About Fabrion
AI-native platform purpose-built for the new industrial era
AI-native platform purpose-built for the new industrial era
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