{"id":3982728,"url":"https://alion.io/job/true-talent-solutions-partners-founding-rl-engineer-3","title":"Founding RL Engineer","company":{"id":4415660,"name":"True Talent Solutions Partners","domain":"truetalentsolutionspartners.com","url":"https://alion.io/company/true-talent-solutions-partners","size_band":null,"is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":125000,"max":200000,"currency":"USD","period":"year","gross":null,"usd_annual":200000},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Claude Code","optional":false},{"name":"Cursor","optional":false},{"name":"JAX","optional":false},{"name":"LLM","optional":false},{"name":"Post-training","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Reward Modeling","optional":false},{"name":"RLHF","optional":false},{"name":"TypeScript","optional":false},{"name":"Gymnasium","optional":true},{"name":"MuJoCo","optional":true},{"name":"Ray","optional":true},{"name":"RLlib","optional":true},{"name":"Transformers","optional":true},{"name":"TRL","optional":true}],"status":"live","first_seen_at":"2026-11-09T17:59:37Z","employer_posted_date":"2026-11-09","last_verified_at":"2026-11-11T13:03:59Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"About the Role\nJoin an early-stage AI company as its first engineering hire, building reinforcement learning environments and AI agents. You will work closely with the co-founders, shape technical direction, and help grow the engineering team.\nWhat You'll Do\nBuild reinforcement learning environments and tasks using voice and enterprise data.\n\nDevelop and deploy AI agents for enterprise customers.\n\nPartner with the co-founders on technical direction and product roadmaps.\n\nLead engineering as the team grows, balancing fast delivery with high-quality work.\n\nWhat We're Looking For\nTypically 3 or more years of experience in reinforcement learning or AI agent development, or 6 to 12 months building RL environments or data as a recent graduate.\n\nExperience building coding RL environments and shipping AI agents into production, with strong reinforcement learning fundamentals.\n\nProfessional experience with Python and PyTorch or JAX, and hands-on use of AI coding tools such as Claude Code or Cursor.\n\nExperience training models with policy gradient methods, reward modeling, RLHF, or related approaches.\n\nFull-stack experience with TypeScript and AWS; experience with mobile development, distributed training, GPU infrastructure, or LLM post-training is a plus.\n\nFamiliarity with environment frameworks such as Gymnasium, Ray RLlib, Isaac, or MuJoCo, and training libraries such as TRL, verl, or OpenRLHF is helpful.\n\nStrong shipping record in a startup or AI lab environment; a related degree or relevant open-source work or publications is valued.\n\nMust be authorized to work in the United States without visa sponsorship and willing to relocate to San Francisco for an in-person 5.5-day work week.\n\nCompensation & Benefits\nBase salary is $125,000 to $200,000 annually. OTE (on-target earnings, base plus variable) is $225,000 to $400,000. Visa sponsorship is not available.\nLocation\nOn-site in San Francisco, California. 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