{"schemaVersion":"jobsearcher.job.v1","id":"e09e9fbff7d097a2e99bc9dd","url":"https://jobsearcher.com/jobs/e09e9fbff7d097a2e99bc9dd","canonicalUrl":"https://jobsearcher.com/jobs/e09e9fbff7d097a2e99bc9dd","title":"SWE (RL Environments)","description":"Who is Recruiting from Scratch:Recruiting from Scratch is a premier talent firm that focuses on placing the best product managers, software, and hardware talent at innovative companies. Our team is 100% remote and we work with teams across the United States to help them hire.SWE (RL Environments)Location: San Francisco, CA (FiDi)Company Stage of Funding: Series A / Hypergrowth AI StartupOffice Type: On-site (5 days/week in SF)Salary: $180,000 - $220,000 BaseBonus: Significant cash bonus potential ($200K-$300K+)Equity: CompetitiveVisa: Open to H1B transfers, O-1, TN, and STEM OPTCompany DescriptionOur client is building the training data and evaluation infrastructure powering frontier AI labs.They work directly with top AI companies including OpenAI, Meta, DeepMind, and other frontier model organizations.The company reached $100M ARR in under 18 months and recently raised a $30M Series A.They specialize in high-signal datasets, evaluation infrastructure, RLHF/RLVR pipelines, and agentic AI training systems.Extremely talent-dense team with backgrounds from Citadel, Palantir, NVIDIA, Databricks, Goldman Sachs, and leading AI startups.Small, execution-heavy environment where engineers directly shape how frontier models learn and improve.This is an opportunity to work at the frontier of reinforcement learning, evaluation systems, synthetic data, and AI experimentation infrastructure.What You Will DoBuild reinforcement learning environments used to train and evaluate frontier AI systemsDesign datasets and evaluation rubrics that expose meaningful model failure modesDevelop RLHF and RLVR reward signals and experimentation frameworksCreate scalable pipelines for real-world and synthetic data generationBuild quantitative frameworks for measuring dataset quality, diversity, and downstream model impactDesign simulations and environments across domains like coding, finance, enterprise workflows, and reasoningPartner directly with frontier AI lab researchers on training objectives and evaluation methodologiesRapidly prototype and ship experimental infrastructure and toolingDiagnose model weaknesses and develop environments that improve model capabilitiesWork on backend-heavy AI infrastructure and experimentation systemsDevelop scalable evaluation and benchmarking systems for agentic AI workflowsIterate quickly from hypothesis to production experimentsBuild V1 systems independently with high ownership and minimal process overheadOperate in a highly execution-focused startup environment with strong technical intensityIdeal Candidate Background1-6 years of software engineering experienceExplicit hands-on experience building reinforcement learning environmentsStrong backend or fullstack engineering backgroundStrong Python engineering skillsExperience building AI infrastructure, evaluation systems, or simulation environmentsExperience with RLHF, RLVR, supervised fine-tuning, or model evaluation workflowsStrong systems-thinking and quantitative reasoning abilityExperience building production-quality experimentation or benchmarking frameworksComfortable working across data pipelines, infrastructure, and backend systemsExperience at high-growth startups, AI companies, quant firms, or research-heavy environmentsAbility to move quickly and operate autonomously in ambiguous environmentsStrong ownership mentality with bias for action and executionComfortable doing difficult, tedious, and highly iterative engineering workStrong CS fundamentals and systems engineering capabilityStrong SignalsExplicit RL environment development experience in productionExperience at RL-focused AI startups or evaluation infrastructure companiesExperience building simulations, benchmark systems, or agentic AI evaluation frameworksStrong side projects, published AI papers, or open-source contributionsExperience with RLHF, RLVR, synthetic data, or alignment toolingBackground from top AI startups, quant firms, or elite engineering organizationsExperience building fast experimental systems with strong iteration speedExperience with data quality measurement and evaluation metricsStrong backend engineering depth combined with AI systems exposureExperience working directly with researchers or model training teamsFounder or early startup engineering experienceExperience building complex AI infrastructure from scratchTrack record of exceptional execution speed and technical ownershipTop-tier university background in CS, engineering, math, or related fieldsCompensation and BenefitsBase salary: $180,000 - $220,000Significant uncapped performance bonus potentialCompetitive equity packageOpportunity to work directly with frontier AI labsHighly technical and talent-dense engineering environmentMassive ownership and impact on core AI systemsExposure to cutting-edge RL, evaluation, and AI training infrastructureExtremely fast-moving startup environment with rapid career growthAbility to shape foundational infrastructure for next-generation AI systemsWhy JoinThis is one of the highest-leverage engineering opportunities in frontier AI infrastructure today.You'll work directly on the systems that determine how advanced models are evaluated, trained, and improved.The company is scaling rapidly with elite customers, elite talent density, and strong product-market fit.If you enjoy reinforcement learning environments, evaluation systems, AI infrastructure, fast execution, and operating close to frontier model development, this role offers exceptional technical scope and upside.","company":"Recruiting from Scratch","rawCompany":"recruiting from scratch","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-09-22T13:19:39.913Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"SWE (RL Environments)","description":"Who is Recruiting from Scratch:Recruiting from Scratch is a premier talent firm that focuses on placing the best product managers, software, and hardware talent at innovative companies. Our team is 100% remote and we work with teams across the United States to help them hire.SWE (RL Environments)Location: San Francisco, CA (FiDi)Company Stage of Funding: Series A / Hypergrowth AI StartupOffice Type: On-site (5 days/week in SF)Salary: $180,000 - $220,000 BaseBonus: Significant cash bonus potential ($200K-$300K+)Equity: CompetitiveVisa: Open to H1B transfers, O-1, TN, and STEM OPTCompany DescriptionOur client is building the training data and evaluation infrastructure powering frontier AI labs.They work directly with top AI companies including OpenAI, Meta, DeepMind, and other frontier model organizations.The company reached $100M ARR in under 18 months and recently raised a $30M Series A.They specialize in high-signal datasets, evaluation infrastructure, RLHF/RLVR pipelines, and agentic AI training systems.Extremely talent-dense team with backgrounds from Citadel, Palantir, NVIDIA, Databricks, Goldman Sachs, and leading AI startups.Small, execution-heavy environment where engineers directly shape how frontier models learn and improve.This is an opportunity to work at the frontier of reinforcement learning, evaluation systems, synthetic data, and AI experimentation infrastructure.What You Will DoBuild reinforcement learning environments used to train and evaluate frontier AI systemsDesign datasets and evaluation rubrics that expose meaningful model failure modesDevelop RLHF and RLVR reward signals and experimentation frameworksCreate scalable pipelines for real-world and synthetic data generationBuild quantitative frameworks for measuring dataset quality, diversity, and downstream model impactDesign simulations and environments across domains like coding, finance, enterprise workflows, and reasoningPartner directly with frontier AI lab researchers on training objectives and evaluation methodologiesRapidly prototype and ship experimental infrastructure and toolingDiagnose model weaknesses and develop environments that improve model capabilitiesWork on backend-heavy AI infrastructure and experimentation systemsDevelop scalable evaluation and benchmarking systems for agentic AI workflowsIterate quickly from hypothesis to production experimentsBuild V1 systems independently with high ownership and minimal process overheadOperate in a highly execution-focused startup environment with strong technical intensityIdeal Candidate Background1-6 years of software engineering experienceExplicit hands-on experience building reinforcement learning environmentsStrong backend or fullstack engineering backgroundStrong Python engineering skillsExperience building AI infrastructure, evaluation systems, or simulation environmentsExperience with RLHF, RLVR, supervised fine-tuning, or model evaluation workflowsStrong systems-thinking and quantitative reasoning abilityExperience building production-quality experimentation or benchmarking frameworksComfortable working across data pipelines, infrastructure, and backend systemsExperience at high-growth startups, AI companies, quant firms, or research-heavy environmentsAbility to move quickly and operate autonomously in ambiguous environmentsStrong ownership mentality with bias for action and executionComfortable doing difficult, tedious, and highly iterative engineering workStrong CS fundamentals and systems engineering capabilityStrong SignalsExplicit RL environment development experience in productionExperience at RL-focused AI startups or evaluation infrastructure companiesExperience building simulations, benchmark systems, or agentic AI evaluation frameworksStrong side projects, published AI papers, or open-source contributionsExperience with RLHF, RLVR, synthetic data, or alignment toolingBackground from top AI startups, quant firms, or elite engineering organizationsExperience building fast experimental systems with strong iteration speedExperience with data quality measurement and evaluation metricsStrong backend engineering depth combined with AI systems exposureExperience working directly with researchers or model training teamsFounder or early startup engineering experienceExperience building complex AI infrastructure from scratchTrack record of exceptional execution speed and technical ownershipTop-tier university background in CS, engineering, math, or related fieldsCompensation and BenefitsBase salary: $180,000 - $220,000Significant uncapped performance bonus potentialCompetitive equity packageOpportunity to work directly with frontier AI labsHighly technical and talent-dense engineering environmentMassive ownership and impact on core AI systemsExposure to cutting-edge RL, evaluation, and AI training infrastructureExtremely fast-moving startup environment with rapid career growthAbility to shape foundational infrastructure for next-generation AI systemsWhy JoinThis is one of the highest-leverage engineering opportunities in frontier AI infrastructure today.You'll work directly on the systems that determine how advanced models are evaluated, trained, and improved.The company is scaling rapidly with elite customers, elite talent density, and strong product-market fit.If you enjoy reinforcement learning environments, evaluation systems, AI infrastructure, fast execution, and operating close to frontier model development, this role offers exceptional technical scope and upside.","datePosted":"2026-09-22T13:19:39.913Z","dateModified":"2026-09-22T13:19:39.913Z","hiringOrganization":{"@type":"Organization","name":"Recruiting from Scratch","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"e09e9fbff7d097a2e99bc9dd"},"url":"https://jobsearcher.com/jobs/e09e9fbff7d097a2e99bc9dd"}}