{"id":3230159,"url":"https://alion.io/job/rl-list-senior-software-engineer-reinforcement-learning","title":"Senior Software Engineer, Reinforcement Learning","company":{"id":2804891,"name":"RL List","domain":"rl-list.com","url":"https://alion.io/company/rl-list","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Work at a Startup","truth_index":null},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":["US","SG"],"hiring_countries_total":2,"salary":{"min":100000,"max":225000,"currency":"USD","period":"year","gross":null,"usd_annual":225000},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"ChatGPT","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude Code","optional":false},{"name":"Cursor","optional":false},{"name":"Docker","optional":false},{"name":"Grafana","optional":false},{"name":"Kubernetes","optional":false},{"name":"Next.js","optional":false},{"name":"Python","optional":false},{"name":"React.js","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Terraform","optional":false},{"name":"TypeScript","optional":false},{"name":"JavaScript","optional":true}],"status":"live","first_seen_at":"2026-10-25T07:54:30Z","employer_posted_date":"2026-10-25","last_verified_at":"2026-10-30T17:25:33Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"About HUD\nHUD 's mission is to build reliable, fair and open infrastructure for AI data. We want data to be valuable for the people who create it and trustworthy for the labs that train on it. Our team is a quickly growing group of researchers, engineers and operators building the economy that shapes what AI will become. Backed by $16M from top VCs and YC (W25), our marketplace and platform are used by startups, Fortune 500 companies and frontier labs.\nAbout the role\nWe’re looking for a Senior Software Engineer, Reinforcement Learning to build the product surfaces, backend systems, and internal tools that power HUD’s RL data engine.\nYou’ll own product surfaces end-to-end, including backend services, APIs, databases, dashboards, tools, vendor workflows, data collection, and observability for RL rollouts. You don’t need to be a researcher, but you need to work research engineers and vendors to translate ambiguous needs into polished products that enable our RL systems.\nResponsibilities\nDevelop product-facing tools for browsing environments, inspecting trajectories, reviewing task quality, debugging failures, and understanding model behavior\nBuild vendor-facing workflows that make it easy for external partners to create, submit, test, and iterate on RL environments and training data\nCreate dashboards and observability tools that surface environment quality, eval results, data collection progress, grader issues, reward signal problems, and pipeline health\nDesign backend services and APIs that connect task authoring, data collection, evaluation, QA/QC, and RL training infrastructure\nPartner closely with research, operations, and GTM teams to turn vague, high-stakes requests into well-designed systems that ship quickly\nExperience\nYou may be a good fit if you have:\nStrong software engineering fundamentals and real full-stack range, including proficiency in Python and a modern web stack such as React, TypeScript, Next.js, or similar\nExperience owning user-facing or internal products end-to-end\nGood product taste and the ability to build tools that are intuitive for both technical and non-technical users\nComfort with cloud infrastructure, Docker, CI/CD, observability, and production debugging\nHigh agency-you identify what needs to exist, build it, and improve it without waiting for a perfect spec\nStrong communication skills for working across research, engineering, operations, vendors, and founders\nStrong candidates may also have:\nExperience building data collection, labeling, annotation, eval, or research tooling platforms\nExperience building dashboards, review workflows, observability tools, or debugging interfaces for complex systems\nExperience building developer tools, infrastructure products, internal platforms, or workflow products that made a team dramatically faster\nExperience with AWS, Kubernetes, Terraform, Docker, Grafana, or similar infrastructure tools as tools to ship product, not as the center of the role\nWe prioritize technical aptitude and learning potential over years of experience. Motivated candidates are encouraged to apply even if they don't meet all criteria.\nTeam & company details\nTeam Size : ~25 people currently, mostly full-time in-person, but some remote.\n\nOur team: Our team includes 4 International Olympiad medalists (IOI, ILO, IPhO), serial AI startup founders, and researchers with publications at ICLR, NeurIPS, etc.\n\nCompany stage: We have 8 figures in funding and are scaling profitably and quickly to meet very strong demand.\n\nLogistics\nEmployment : Full-time.\n\nLocation : We have offices in San Francisco or Singapore but are open to remote candidates who can work hours that 70-80% overlap with either San Francisco or Singapore time zones.\n\nVisa Sponsorship : We provide support for relocation and visas for strong full-time candidates to the US or Singapore.\n\nTimeline : Applications are rolling. The process is 2 technical interviews and a 2-3 day work trial.\n\nWhat we offer\nCompetitive compensation\n100% covered top-of-the-line medical, dental, and vision (US and Singapore employees)\nLunch and dinner for in-office employees\nCompany-wide holiday break (Christmas Eve to New Year’s Day) on top of PTO and paid holidays\nOther perks including an Equinox membership, 401k, and commuter benefits (US employees) and a health/wellness stipend (Singapore employees)\nUnlimited* access to tokens for ChatGPT, Claude Code, Cursor, etc. *By unlimited, we mean no one on our token usage leaderboard has ever hit a limit. So we have no idea what the limit is.\nTwo top-floor offices in San Francisco’s Union Square and Singapore’s Raffles Place\nAnnual travel budget to visit either office\nCompensation\nActual offers are adjusted for experience and location, but our base salary bands are\nSan Francisco (and other major US cities): $130,000 - $225,000\nSingapore: $100,000 - $170,000\nRest of world: $100,000 - $170,000\nDue to high volume, we may not actively respond to every application, but feel free to contact us at [[email removed]](mailto:[email removed]) or elsewhere if we missed your application!","description_format":"text","description_chars":5080,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["401k plan"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"},{"name":"Singapore","iso":"SG","kind":"country"}],"hiring_excludes":[],"relocation_offered":true,"industries":["Artificial Intelligence","Cybersecurity","Incident Response"],"lifecycle":[{"event":"open","at":"2026-10-25T07:54:30Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":4,"expected_fill_days":35,"reasons":["conf:1","velocity","win:early"],"computed_at":"2026-10-30T05:48:23Z"},"pay":{"stated_usd_annual":225000,"is_top_pay":true},"html_url":"https://alion.io/job/rl-list-senior-software-engineer-reinforcement-learning","json_url":"https://alion.io/job/rl-list-senior-software-engineer-reinforcement-learning.json","meta":{"generated_at":"2026-10-30T17:42:52Z","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":"search","counted_by":"address","units_charged":0,"used_today":0,"day_limit":null,"remaining_today":null,"minute_limit":null,"resets_at":"2026-10-31T00:00:00Z"}},"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":2804891},"rest":"https://alion.io/mcp/rest/get_company?id=2804891"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Frl-list-senior-software-engineer-reinforcement-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%2Frl-list-senior-software-engineer-reinforcement-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%2Frl-list-senior-software-engineer-reinforcement-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/rl-list-senior-software-engineer-reinforcement-learning\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Frl-list-senior-software-engineer-reinforcement-learning"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3230159}},{"tool":"search_jobs","arguments":{"company":"rl-list.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3230159},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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