Founding AI Research Lead - Agentic AI Lab

• 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

• Comfortable as the most senior researcher in the room: setting direction under ambiguity and writing decisions down
• Rigor over hype: you distrust your own results until the baselines agree
• A teacher's instinct: part of this role is turning strong engineers into researchers

• 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 (especially 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

We believe specialized models built on governed enterprise data can run real, multi-billion-dollar workflows. Your work will not be buried in research reports. It will be benchmarked in public, deployed to real customers, and activated by hundreds of thousands of decisions.