{"id":2867459,"url":"https://alion.io/job/prime-intellect-applied-research-continual-learning","title":"Applied Research - Continual Learning","company":{"id":5907,"name":"Prime Intellect","domain":"primeintellect.com","url":"https://alion.io/company/primeintellect","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":95,"open_postings":28,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":99,"computed_at":"2026-10-22T06:10:10Z"}},"role":"Frontend","role_family":"Frontend","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States","New York, United States","London, United Kingdom"],"countries":["US","GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":150000,"max":300000,"currency":"USD","period":"year","gross":null,"usd_annual":300000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":true,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Cloudflare","optional":false},{"name":"Databricks","optional":false},{"name":"Datadog","optional":false},{"name":"Function Calling","optional":false},{"name":"Knowledge Distillation","optional":false},{"name":"LangChain","optional":false},{"name":"Model Distillation","optional":false},{"name":"OpenAI","optional":false},{"name":"OpenRouter","optional":false},{"name":"Perplexity","optional":false},{"name":"Post-training","optional":false},{"name":"Python","optional":false},{"name":"SFT","optional":false},{"name":"Together AI","optional":false},{"name":"Zapier","optional":false}],"status":"live","first_seen_at":"2026-10-19T15:28:49Z","employer_posted_date":"2026-10-19","last_verified_at":"2026-10-22T04:24:37Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Own Your Intelligence\nPrime Intellect is building the open superintelligence stack: the infrastructure frontier AI labs build internally, made available to every ambitious AI team.\nOur platform, Lab, unifies compute, environments, evaluations, secure sandboxes, high-performance training, and deployment into one full-stack system for post-training at frontier scale - from SFT and RL to tool use, agent workflows, and continuously improving production models. We are building open frontier AI: open-source models trained end to end for long-horizon tasks like autonomous research, and the full-stack platform our own research team uses to build them. The next generation of AI companies, enterprises, and research teams do not just need more GPUs. They need the ability to turn their own workflows, tools, data, and feedback loops into superintelligence they own.\nPrime Intellect has raised $150M in total funding from Founders Fund, Radical Ventures, NVIDIA, and exceptional AI, infrastructure, and enterprise operators - including Andrej Karpathy, Dwarkesh Patel, and leaders and founders from Ramp, Perplexity, Harvey, Mercor, Zapier, Datadog, Cognition, OpenAI, Thinking Machines, Together AI, SemiAnalysis, LangChain, Browserbase, Cloudflare, Sierra, Databricks, Airbnb, OpenRouter, Standard Intelligence, Fleet, Core Auto, and more. We are looking for people who want to build at the intersection of frontier research, real infrastructure, and go-to-market for a category that does not fully exist yet.\nRole Impact\nYou 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.\nResponsibilities\nApplied Research at Prime\nWe turn a workflow into tasks, environments, evaluations, and reward signals, run post-training experiments against real baselines, and deploy what works. When a result looks good, we find out whether the gain came from the model or from the data, harness, inference, or infrastructure. The reusable parts become shared research, open-source systems, and product capabilities.\nEvery Applied Research role is externally facing. Most researchers work directly with customers, users, or research partners while maintaining a substantive research agenda.\nRole scope\nControl update cadence, policy lag, task drift, and exploration, and evaluate each checkpoint on earlier skills, unseen tasks, and general capabilities. Build task-generation and training pipelines with reproducible data and harness versions, so regressions can be traced to a specific change and rolled back. You will work directly with the external collaborators whose deployments drive the research.\nRepresentative early problems\nSelect high-value production traces and interventions, convert them into training signal, and establish regression gates before a change reaches deployment.\n\nDetermine which adaptation belongs in model weights, harness state, memory, tools, or data, then measure the tradeoffs across a sequence of tasks.\n\nBuild evaluations that distinguish retained learning and transfer from memorization, context accumulation, or measurement drift.\n\nWhat you will own\nMethods for selective consolidation, replay, adaptation, memory, and online or offline RL.\n\nEvaluations for retention, transfer, regression, and rollback as tasks and distributions change.\n\nPromotion gates and human oversight for agents that continue to change in production.\n\nField experiments, benchmarks, and open research that make continual improvement measurable and transferable.\n\nRequirements\nRelevant experience: continual or online learning, RL, meta-learning, memory systems, post-training data loops, adaptive production ML, or evaluation under changing distributions.\n\nHands-on experience building and debugging model-training, post-training, agent, evaluation, or closely adjacent experimental loops.\n\nStrong experimental judgment: meaningful baselines, careful trace inspection, clear failure attribution, and a willingness to change direction when the evidence changes.\n\nStrong Python and the ability to build artifacts that other researchers and engineers can run, inspect, and extend.\n\nComfort owning ambiguous problems and keeping partners and teammates current as you resolve them.\n\nEvidence of exceptional work\nWe value publications, open-source systems, benchmarks, and shipped products as evidence of exceptional work. Show us something difficult you built, what failed, and how the evidence changed your approach.\nBenefits and Perks\nCash Compensation Range of $150-300k + equity incentives\n\nFlexible Work (San Francisco, New York, London, or remote)\n\nVisa Sponsorship & relocation support\n\nProfessional Development budget\n\nTeam Off-sites & conference attendance\n\nIf you're excited about the opportunity to build the foundation for the future of decentralized AI and create a platform that empowers developers and researchers to push the boundaries of what's possible, we'd love to hear from you.","description_format":"text","description_chars":5275,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity","Flexible schedule","Professional development"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":true,"industries":["Reinforcement Learning","Foundation Models","AI Compute & Inference","AI Development Tools"],"lifecycle":[{"event":"open","at":"2026-10-19T18:13:51Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":2,"expected_fill_days":99,"reasons":["conf:1","velocity","win:early"],"computed_at":"2026-10-22T06:10:10Z"},"pay":{"stated_usd_annual":300000,"is_top_pay":true},"html_url":"https://alion.io/job/prime-intellect-applied-research-continual-learning","json_url":"https://alion.io/job/prime-intellect-applied-research-continual-learning.json","meta":{"generated_at":"2026-10-22T07:26:24Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":3014,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-23T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":5907},"rest":"https://alion.io/mcp/rest/get_company?id=5907"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fprime-intellect-applied-research-continual-learning"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fprime-intellect-applied-research-continual-learning"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fprime-intellect-applied-research-continual-learning"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/prime-intellect-applied-research-continual-learning\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fprime-intellect-applied-research-continual-learning"}]}