{"id":717151,"url":"https://alion.io/job/bespokelabs-rl-environments-engineer","title":"RL Environments Engineer","company":{"id":669257,"name":"BespokeLabs","domain":"bespokelabs.ai","url":"https://alion.io/company/bespokelabs-2","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"role":"AI/ML","role_family":"AI/ML","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":["Mountain View, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":250000,"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":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"CI/CD","optional":false},{"name":"Post-training","optional":false},{"name":"Reinforcement Learning","optional":false}],"status":"live","first_seen_at":"2026-08-27T21:25:36Z","employer_posted_date":"2026-08-27","last_verified_at":"2026-10-28T04:01:38Z","board_verified":true,"closed_at":null,"days_open":61,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":61},"description":"About Bespoke Labs\nBespoke Labs is an applied AI research lab pioneering data and RL environment curation for training and evaluating agents.\nRecently, we curated Open Thoughts, one of the best open reasoning datasets used by multiple frontier labs, trained SOTA specialized models such as Bespoke-MiniChart-7B and Bespoke-MiniCheck, and taught agents to do multi-turn tool-calling with reinforcement learning.\nBespoke is uniquely positioned to capture a large market share of data and RL environment curation.\nAbout the Role\nThis is a delivery role. We want an engineer who has built the machinery that turns environment ideas into hundreds or thousands of validated agentic coding tasks, and who can do it here, fast.\nYou will not be studying environments in the abstract. You will build the pipelines that mass-produce them, design the complex coding worlds agents train inside, and keep pushing throughput: more environments, higher quality, less manual work per task. We will measure you on the volume and quality of environments you ship, not on papers.\nThe thing we care about most is whether you have done this before. If you have stood up an environment-generation pipeline, scaled agentic task creation into the hundreds or thousands, and shipped it, we want to talk.\nWhat You'll Do\nBuild environment-generation pipelines. Own the systems that produce RL environments programmatically, including templating, automated grading, verification, and QA, so the team ships environments at scale instead of one at a time.\n\nCreate complex coding worlds. Build high-fidelity environments around real codebases, with the conventions, dependencies, tooling, and technical debt that real software actually has.\n\nScale agentic task creation to thousands. Take task generation from handfuls to hundreds and thousands of validated agentic coding tasks, with automation doing the heavy lifting.\n\nBuild tools that raise throughput. Find the bottlenecks in environment production and remove them. Build the internal tooling and infrastructure that makes everyone on the team faster.\n\nOwn the full task lifecycle. Prompt, environment, grader, running frontier models against the task, failure analysis, and iteration, until each task is rigorous, fair, and hard to game.\n\nDefend quality at scale. Catch reward hacking and grader loopholes, and build the verification and standards that hold the bar as volume grows.\n\nDirect coding agents heavily. Use frontier coding agents to build and validate environments faster, judging their output and catching the subtle failures.\n\nDirect frontier coding agents heavily to build and validate environments, judging their output and catching the quiet failures they produce.\nWhat We're Looking For\nA record of shipped volume. You have built agentic coding tasks or environments and can show us how many you personally drove and what they cost to produce.\nExperience scaling that output through automation rather than through more people doing more manual work.\nStrong software engineering fundamentals and fluency in several languages that holds up in production code.\nReal experience with production software. Large codebases, build systems, testing, deployment, on-call, and root cause analysis. You know what real engineering work feels like because you have done it.\nAn adversarial mindset. You look at a grader and ask how a model would cheat it, and then you fix that.\nA clear sense of what frontier coding agents can and cannot do, and where they cut corners.\nOwnership. You build, debug, and ship without much supervision.\nYou May Be a Good Fit If You Also\nHave worked on RL training systems, post-training, verifiers, or tool-use harnesses\n\nCome from developer tooling, CI/CD, sandboxes, or code execution infrastructure\n\nHave built large-scale automated test generation, fuzzing harnesses, or benchmark suites, which is close cousin work even if it was never called an RL environment\n\nHave contributed to a public agentic benchmark such as Terminal-Bench\n\nHave open-source work that other people depend on\n\nWhat We Offer\nLocation: Mountain View, CA or San Francisco, CA (Onsite)\n\nBase Salary: $250,000 - $300,000 USD / year\n\nAdditional Comp: 25% performance-based bonus + equity\n\nBenefits & Perks\nHealth, dental, and vision coverage\n\n401(k)\n\nDaily onsite lunch provided\n\nVisa sponsorship and relocation support available\n\nDirect impact on how the industry trains and evaluates agents\n\nWe value different backgrounds and paths into this work. If this role excites you but you do not check every box, apply anyway.","description_format":"text","description_chars":4552,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":true,"industries":["Artificial Intelligence","AI Agents"],"lifecycle":[{"event":"open","at":"2026-09-11T06:21:44Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 8","filings_12m":8,"filings_prev_12m":1,"green_card_filings_12m":0,"median_offered_wage_usd":160000,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)"],"filings_for_role_12m":5}],"liveness":{"score":69,"band":"ok","label":"Likely open","p_open":1,"p_active":0.86,"p_room":0.8,"age_days":60,"expected_fill_days":236,"reasons":["conf:0","win:early","crowd:"],"computed_at":"2026-10-27T05:46:45Z"},"pay":{"stated_usd_annual":300000,"is_top_pay":true},"html_url":"https://alion.io/job/bespokelabs-rl-environments-engineer","json_url":"https://alion.io/job/bespokelabs-rl-environments-engineer.json","meta":{"generated_at":"2026-10-28T04:59:55Z","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":6495,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-29T00:00:00Z"}},"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":669257},"rest":"https://alion.io/mcp/rest/get_company?id=669257"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fbespokelabs-rl-environments-engineer"},{"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%2Fbespokelabs-rl-environments-engineer"},{"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%2Fbespokelabs-rl-environments-engineer"},{"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/bespokelabs-rl-environments-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fbespokelabs-rl-environments-engineer"}]}