{"id":29216,"url":"https://alion.io/job/percepta-research-engineer-scientist-modeling","title":"Research Scientist – World Modeling","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":"2026-10-17T05:46:00Z"}},"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":null,"salary_estimate":{"min_usd":228000,"max_usd":500000,"period":"year","method":"role_country_seniority_unknown","sample_n":4027},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Digital Twin","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"World Models","optional":false},{"name":"Agentic Workflows","optional":true},{"name":"Anthropic","optional":true},{"name":"AWS","optional":true}],"status":"live","first_seen_at":"2025-10-02T01:31:09Z","employer_posted_date":"2026-10-02","last_verified_at":"2026-10-17T17:13:42Z","board_verified":true,"closed_at":null,"days_open":380,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":380},"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 - World Modeling at Percepta, you'll build the systems that let us understand an operation at its full complexity. Real operations rarely arrive as clean, structured data: the ground truth about the operation lives scattered across claims, clinical notes, call transcripts, contracts, and the tacit judgment of operators. You'll build models and agents that learn to compress this mess into a tractable, continuously-updated representation - effectively a digital twin of the operation - that forecasters, user models, and optimizers downstream can all reason and plan against.\nResponsibilities\nDesign and build learned world models that compress messy, multi-modal operational data (notes, transcripts, contracts, telemetry) into tractable, decision-relevant representations.\n\nModel the transition dynamics of real operations - how a workforce, facility, or network evolves state-to-state - so downstream systems can run counterfactuals before a decision touches a real person or asset.\n\nBuild and validate digital twins of customer operations, benchmarked against replayable, real-world testbeds with defensible ground truth.\n\nPartner closely with the forecasting and optimization teams to ensure your representations are the right substrate for calibrated predictions and for finding optimal actions.\n\nBridge research into practice by partnering with engineers to deploy world models into live customer environments and push toward end-to-end production systems.\n\nYou may be a good fit if you:\nPhD degree in Computer Science, Operations Research, Industrial Engineering, or Applied Mathematics or have equivalent research/industry experience.\n\nHave depth in simulation or world modeling\n\nHave experience in novel machine learning techniques for control and optimization, including test-time search and reinforcement learning for sequential decision-making.\n\nAre comfortable implementing and debugging large-scale optimization systems, and designing benchmarks with real, defensible ground truth.\n\nAre motivated by impact in critical industries including healthcare, supply chains, energy, and finance.\n\nHave a proven track record of execution.\n\nAre an excellent communicator with both technical and non-technical stakeholders.\n\nEnjoy extreme ownership.\n\nAre passionate about AI's transformative potential\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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