{"id":29215,"url":"https://alion.io/job/percepta-research-engineer-scientist-reinforcement-learning-rl","title":"Research Scientist – Reinforcement Learning (RL)","company":{"id":7944,"name":"Percepta","domain":"percepta.com","url":"https://alion.io/company/percepta","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":95,"open_postings":8,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":190,"computed_at":"2026-10-23T05:54:15Z"}},"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":["New York, United States","Boston, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":200000,"max":400000,"currency":"USD","period":"year","gross":null,"usd_annual":400000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon EKS","optional":false},{"name":"AWS","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"Post-training","optional":false},{"name":"Python","optional":false},{"name":"Ray","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"SGLang","optional":false},{"name":"vLLM","optional":false},{"name":"Agentic Workflows","optional":true},{"name":"AI Agents","optional":true},{"name":"Anthropic","optional":true}],"status":"live","first_seen_at":"2026-01-22T13:04:40Z","employer_posted_date":"2026-10-02","last_verified_at":"2026-10-24T01:20:49Z","board_verified":true,"closed_at":null,"days_open":274,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":273},"description":"Who We Are\nPercepta’s mission is to transform critical institutions with applied AI. We care that industries that power the world (e.g. healthcare, manufacturing, energy) benefit from frontier technology.\nTo make that happen, we embed with industry-leading customers to drive AI transformation. We bring together:\nForward-deployed expertise in engineering, product, and research\n\nMosaic, our in-house toolkit for rapidly deploying agentic workflows\n\nStrategic partnerships with Anthropic, McKinsey, AWS, companies within the General Catalyst portfolio, and more\n\nOur team is a quickly growing group of Applied AI Engineers, Embedded Product Managers and Researchers motivated by diffusing the promise of AI into improvements we can feel in our day to day lives.\nPercepta is a direct partnership with General Catalyst, a global transformation and investment company.\nAbout the role\nAs a Research Scientist - Reinforcement Learning at Percepta, you will work at the intersection of RL research and real-world deployment. You will advance the frontier of capabilities through research on decision-making for critical industries. You will collaborate closely with our Embedded Product Managers (EPMs) and engineers to ensure that our solutions transform how companies operate.\nResponsibilities\nIdentifying which real-world challenges are tractable for RL-guided decision making.\n\nDevelop RL methods to perform complex tasks in domains like planning, decision-making, or optimization.\n\nDevelop and maintain the experimental infrastructure that powers our research, from simulation environments and data pipelines to training and evaluation frameworks.\n\nConduct in-the-wild evaluations at scale that drive millions of dollars in value.\n\nPartner with our applied AI engineers to transition successful research ideas into robust features of our Mosaic platform.\n\nCommunicate research outcomes to both technical and non-technical stakeholders, making sure everyone understands the “so what” of research and how to apply it.\n\nYou may be a good fit if you:\nHave an MS/PhD in Computer Science, ML, or related field, or equivalent experience.\n\nHave a track record of effective RL work.\n\nAre motivated by impact in critical industries including healthcare, supply chains, energy, and finance.\n\nUnderstand how to perform rigorous RL experimentation.\n\nEnjoy extreme ownership.\n\nBelieve that AI can drive transformative change in critical industries.\n\nThe following list can be a sign that you might be a good technical fit:\nHigh performance, large scale distributed systems.\n\nLarge scale LLM training or RL training.\n\nPossess strong programming skills, especially in Python.\n\nImplementing LLM post-training algorithms.\n\nExperience with vLLM/SGLang, Ray, Kubernetes (or AWS EKS).\n\nExperience with distributed checkpointing, multi-node, multi-gpu training, custom KV-caching.\n\nExperience with asynchronous training and inference, either with VeRL, ROLL, SkyRL, AReal, or with RL libraries like CleanRL.\n\nAbout Our Team\nAs an organization, Percepta is committed to inclusion and belonging, and our people are our greatest investment! We’re working against an incredibly ambitious mission. It won’t be easy, but it will likely be the most fulfilling work of your career.\nIn addition to competitive compensation, equity, 401(k) matching, comprehensive health and family benefits, and lunch every day, we offer a culture built on autonomy and trust. We strongly believe that the boldest solutions come from teams who dream bigger together, and that means bringing in people from every kind of background, experience, and path. We are an office-first team that values the impact of in-person collaboration, but we focus on outcomes over outputs-believing that we are each responsible for solving the \"whole problem\" to make our customers win.\nIf you don't check every box on this description but you care deeply about the problems we're tackling, seeking the truth, and wanting to own outcomes alongside a team that has your back, then we want to hear from you! We know self-doubt keeps great people from applying, so please don't count yourself out before we've had the chance to meet you. Tackling the hardest problems takes a range of perspectives in the room, and we believe that's how we build something truly game-changing.\nOur company values are more than just words on a page. They inform how our team shows up every day:\nOur Values\nDream bigger: We have the unique privilege of taking on the most ambitious problems and we should chase them with optimism, responsibility, and genuine belief that we can make it happen. We have to embrace the hard things when no one else will.\nHeart in the game: What we're doing matters and we have to give a shit. Internally, that means fixing badness when you find it. Externally, it means honoring the trust our customers place in us with their most important problems. This isn’t a 9-5, nor is it a job we’re ever going to monitor your hours. We promise to put work in front of you that matters and in return, we ask you to promise to care.\nWin for the customer: Everyone is an engineer and the job of an engineer is to deliver outcomes, not outputs. Everything we do-the products we build, the partnerships we launch, the strategy we set-exists to make our customers successful. Delivery is the strategy.\nMake the call: Organizations are only as strong as the pace at which they make decisions. Everyone at Percepta should feel empowered to commit and shape the ambiguity in front of them. But \"make the call\" cuts both ways: make the decision and make the phone call. High-agency decision-making only works with high-bandwidth communication and we commit to never operate in silos.\nIntensity with kindness: We believe in excellence in execution, candor in feedback, ruthlessness in prioritization, and survivalist urgency. We also believe you don't need to be an asshole to deliver on any of this. The trust built through shared kindness and vulnerability is what makes the intensity sustainable.\nPercepta is proud to be an equal opportunity employer and we evaluate every qualified applicant on their merits and give equal consideration for employment regardless of race, color, creed, religion, sex, gender identity, sexual orientation, national origin, disability, veteran or uniformed service status, age, or any other characteristic protected under applicable law. 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