# Applied Researcher - Continual Learning at Primeintellect

- Company: Primeintellect
- What the company does: Train, deploy, and continuously improve your own models on an integrated compute, training, inference, and sandbox stack. Backed by Menlo.
- Company website: https://www.primeintellect.ai/
- Type: Startups (AI role)
- Level: Mid level
- Location: San Francisco
- Work setup: On-site
- Posted: 2026-10-19
- Apply by: 2026-12-03
- Apply: https://jobs.ashbyhq.com/PrimeIntellect/8a447701-448a-4ddd-8607-bee8ac836d88?utm_source=1752vc&utm_medium=careers
- Page: https://www.1752.vc/careers/jobs/primeintellect-applied-research-continual-learning/

## About the role

You will build continual learning systems that turn agent trajectories, corrections, and failures into new tasks and model updates. You will compare streaming RL, batched post-training, and distillation, and determine which improvements belong in model weights or persistent memory, skills, prompts, and subagent state . Your experiments will track skill acquisition, transfer, forgetting, and loss of plasticity over long sequences of tasks. Found on 1752vc Careers, the job board for startup and VC roles.

## What they're looking for

- Relevant experience: 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: meaningful baselines, careful trace inspection, clear failure attribution, and a willingness to change direction when the evidence changes
- Strong Python and the ability to build artifacts that other researchers and engineers can run, inspect, and extend
- Comfort owning ambiguous problems and keeping partners and teammates current as you resolve them

Tags: Applied Research

Source: 1752vc Careers, https://www.1752.vc/careers/jobs/primeintellect-applied-research-continual-learning/
