Applied Research – Sovereign AI

This is a fully remote position, open to applicants in California.

📋 Description

• Develop systems for post-training and agent applications within public-sector and regulated environments.

• Transform workflows into actionable tasks, environments, evaluations, and reward mechanisms.

• Execute post-training experiments against actual baselines and implement successful outcomes.

• Assess whether improvements originate from the model, data, harness, inference, or infrastructure.

• Create private improvement cycles within sensitive data constraints, ranging from trace selection to deployed updates.

• Train domain agents that are permissioned, traceable, and recoverable, evaluated against real-world procedures.

• Design high-assurance evaluations focusing on reliability, calibration, robustness, human escalation, and compliance.

• Manage agents with defined permissions, evidence trails, limited tools, and human checkpoints.

• Research the impact of privacy, access, and infrastructure limitations on learning processes.

• Collaborate directly with customers, users, or research partners while fostering a meaningful research agenda.

⛳️ Requirements

• Relevant experience in RL/post-training, private ML systems, high-assurance evaluation, agent safety, regulated-domain ML, public-sector technical projects, or deployment under stringent data and infrastructure constraints.

• Practical experience in constructing and troubleshooting model-training, post-training, agent, evaluation, or closely related experimental workflows.

• Strong experimental judgment, including meaningful baseline comparisons, careful trace analysis, clear failure attribution, and adaptability to change direction based on evidence.

• Proficient in Python with the capability to create artifacts that other researchers and engineers can operate, analyze, and enhance.

• Ability to take ownership of ambiguous challenges while keeping partners and teammates informed throughout the resolution process.

• Contributions such as publications, open-source systems, benchmarks, and delivered products are highly regarded as indicators of outstanding work.

🏝️ Benefits

• Equity incentives

• Flexible Work options (San Francisco, New York, London, or remote)

• Visa Sponsorship and relocation assistance

• Professional Development budget

• Team Off-sites and conference attendance