Continual Learning Researcher (AI)

Location: San Francisco, New York, London, or remote

Cash compensation: $150,000–$300,000 per year plus equity incentives

Company

hirify.global is building an open superintelligence stack that provides frontier AI infrastructure for compute, environments, evaluations, secure sandboxes, training, deployment, and post-training research.

What you will do

• Build continual learning systems that turn agent trajectories, corrections, and failures into new tasks and model updates.
• Compare streaming RL, batched post-training, and distillation, and determine whether improvements belong in model weights, persistent memory, skills, prompts, or subagent state.
• Control update cadence, policy lag, task drift, and exploration while evaluating checkpoints on earlier skills, unseen tasks, and general capabilities.
• Build reproducible task-generation and training pipelines with versioned data and harnesses so regressions can be traced and rolled back.
• Work directly with external collaborators and conduct field experiments, benchmarks, and open research.
• Design promotion gates and human oversight for agents that continue to change in production.

Requirements

• Relevant experience in continual or online learning, RL, meta-learning, memory systems, post-training data loops, adaptive production ML, or evaluation under changing distributions.
• Hands-on experience building and debugging model-training, post-training, agent, evaluation, or closely adjacent experimental loops.
• Strong experimental judgment, including meaningful baselines, careful trace inspection, clear failure attribution, and willingness to change direction when evidence changes.
• Strong Python skills and the ability to build artifacts that other researchers and engineers can run, inspect, and extend.
• Ability to own ambiguous problems and keep external partners and teammates current while resolving them.

Nice to have

• Publications, open-source systems, benchmarks, or shipped products demonstrating exceptional work.

Culture & Benefits

• Flexible work from San Francisco, New York, London, or remotely.
• Visa sponsorship and relocation support.
• Professional development budget.
• Team off-sites and conference attendance.
• Work directly with customers, users, research partners, and external collaborators while maintaining a substantive research agenda.
• Equity incentives in addition to cash compensation.