{"id":3180441,"url":"https://alion.io/job/ntt-data-aivista-postdoctoral-ai-scientist","title":"Postdoctoral AI Scientist","company":{"id":679553,"name":"NTT DATA AIVista","domain":"nttdata-aivista.com","url":"https://alion.io/company/nttdata-aivista","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"role":"Science & Research","role_family":"Science & Research","seniority":null,"employment_type":"internship","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":102000,"max_usd":277000,"period":"year","method":"role_country_seniority_unknown","sample_n":3587},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Context Engineering","optional":false},{"name":"Digital Twin","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Function Calling","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"Interpretability","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Post-training","optional":false},{"name":"Python","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"SFT","optional":false},{"name":"Synthetic Data","optional":false}],"status":"live","first_seen_at":"2026-10-23T17:57:49Z","employer_posted_date":"2026-10-23","last_verified_at":"2026-10-25T12:14:48Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Postdoctoral AI Scientist\nPalo Alto, California | 12-24Month Appointment\nAbout AIVista\nNTT DATA AIVista, Inc., a wholly owned subsidiary of NTT DATA, develops AI products for enterprises operating in complex regulatory environments. Based in Palo Alto, we combine deep AI product expertise with NTT DATA's industry knowledge and systems-integration experience, working with NTT companies to deploy solutions for enterprise clients.\nThe Opportunity\nAIVista is seeking a Postdoctoral AI Scientist to conduct research on foundational problems at the intersection of machine learning, knowledge representation, formal methods, and AI agents for enterprise systems.\nYou will work alongside scientists and engineers to define and pursue ambitious research questions, develop new methods and systems, and evaluate them against complex, production-scale problems and data. You will conduct research that advances the state of the art while creating a path toward performant and trustworthy AI systems that can operate reliably in real enterprise environments.\nThis is an an initial 12-month appointment with the option to extend it to 24 months postdoctoral research appointment designed for researchers who have completed their PhD and want to continue developing a strong research agenda while working closely with real-world AI systems. Pursuing publication of research at top-tier conferences and journals is highly encouraged, and projects are selected to support both rigorous scientific contribution and practical relevance.\nScience Focus\nNeurosymbolic methods and trustworthy reasoning: Combine learning-based and symbolic techniques to improve reliability, transparency, and alignment with domain constraints.\n\nKnowledge representation and semantic AI: Develop methods that help AI systems organize, connect, and reason over complex enterprise information.\n\nAdaptive and model-agnostic AI systems: Explore flexible approaches that integrate models, tools, context, and memory across diverse tasks and environments.\n\nScalable domain model development:\nDevelop scalable methods for building domain-specialized models, spanning automated generation of training and agentic environments, mid-training on domain data, post-training through fine-tuning and reinforcement learning, and rigorous domain-grounded evaluation.\nLearning from feedback: Develop methods that enable AI systems to improve safely and effectively from human and operational feedback.\n\nEvaluation, verification, and interpretability: Advance rigorous approaches to assessing AI reliability, robustness, safety, and transparency.\n\nAI for complex workflows: Explore how intelligent systems can support and improve multi-step enterprise processes while maintaining appropriate oversight and control.\n\nWhat You'll Do\nDefine and independently drive research questions across one or more of AIVista's science focus areas.\n\nDevelop novel algorithms, models, methods, prototypes, and system designs and evaluate their effectiveness through rigorous experimentation.\n\nDesign experiments and benchmarks that measure correctness, robustness, calibration, privacy, latency, cost, and process outcomes.\n\nWork with scientists, engineers, and domain experts to translate enterprise data, policies, feedback, and operational constraints into research problems, research artifacts, and deployable systems.\n\nDevelop inspectable AI systems and analyses that connect model and agent decisions to evidence, rules, and outcomes.\n\nMove promising research from early experimentation through simulation, controlled evaluation, and potential application in production-scale AI systems.\n\nCommunicate research findings internally and externally and contribute high-quality research to leading conferences, journals, and the broader scientific community.\n\nCollaborate with and contribute to AIVista's broader research agenda while developing an independent body of research during the postdoctoral appointment.\n\nQualifications\nPhD in Computer Science, Machine Learning, Artificial Intelligence, Statistics, Applied Mathematics, Electrical or Computer Engineering, Operations Research, or a closely related technical field. The PhD must be completed prior to the start of the appointment.\n\nDemonstrated research record in machine learning, artificial intelligence, computer science, or a related technical discipline, evidenced through peer-reviewed publications, significant research projects, or comparable scientific contributions.\n\nStrong foundations in machine learning, algorithms, statistical methods, experimental design, and empirical research.\n\nDeep research experience in one or more of the following areas: large language models, knowledge representation or knowledge graphs, formal methods, agentic systems, continual learning, multimodal learning, evaluation and interpretability, or process mining.\n\nAbility to independently formulate research questions, design rigorous experiments, analyze results, and communicate scientific findings.\n\nProficiency in Python and experience implementing and evaluating machine learning or AI systems.\n\nStrong written and verbal communication skills and the ability to collaborate effectively across research, engineering, and domain teams.\n\nAreas of Additional Research Experience\nRelevant research experience may include:\nNeurosymbolic methods, autoformalization, formal verification, theorem proving, or constraint solving.\n\nOntology construction, knowledge graphs, entity resolution, graph learning, or graph-based retrieval.\n\nMid-training (continued pretraining), supervised fine-tuning, preference optimization, or reinforcement learning for building domain-specialized models.\n\nSynthetic data and task generation, verifiable reward design, or scalable pipelines for training and evaluating domain models.\n\nAgent memory, context engineering, model routing and orchestration, planning, tool use, or multi-agent systems.\n\nContinual, federated, or privacy-preserving learning; uncertainty calibration; human-in-the-loop systems; or regression-safe adaptation.\n\nProcess mining, digital twins, simulation, workflow systems, or graduated-autonomy deployments.\n\nRobust and scalable benchmarking, agentic environment construction, and complex task metric design.\n\nResearch involving AI systems deployed in regulated, safety-sensitive, or other high-stakes environments.\n\nCompensation & Benefits\nThe estimated annual base salary for this role is $150,000USD. Individual compensation is determined based on job-related factors including education, research experience, skills, qualifications, geographic location, business needs, and market conditions.\nEligible employees may participate in Company-sponsored benefits in accordance with applicable Company policies.\nHousing and relocation assistance may be available based on individual circumstances and business needs. Eligible postdoctoral researchers may also receive travel assistance associated with relocation to and from the Palo Alto area, in accordance with Company policy.\nNTT DATA AIVista is an equal opportunity employer. We do not discriminate based on race, religion, color, national origin, ancestry, sex, gender identity or expression, sexual orientation, age, disability, genetic information, marital status, military or veteran status, reproductive health decisions, or any other characteristic protected under applicable federal, state, or local law.","description_format":"text","description_chars":7401,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":false},"security_clearance":false,"languages":[]},"benefits":["Relocation assistance"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":true,"industries":["AI Consulting & Integration"],"lifecycle":[{"event":"open","at":"2026-10-23T21:19:10Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 8","filings_12m":8,"filings_prev_12m":0,"green_card_filings_12m":0,"median_offered_wage_usd":352500,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)"],"filings_for_role_12m":0}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":1,"expected_fill_days":63,"reasons":["conf:1","win:early"],"computed_at":"2026-10-25T05:49:26Z"},"pay":null,"html_url":"https://alion.io/job/ntt-data-aivista-postdoctoral-ai-scientist","json_url":"https://alion.io/job/ntt-data-aivista-postdoctoral-ai-scientist.json","meta":{"generated_at":"2026-10-25T13:18:34Z","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":"crawler_verified","counted_by":"address","units_charged":1,"used_today":18881,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-26T00:00:00Z"}},"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":679553},"rest":"https://alion.io/mcp/rest/get_company?id=679553"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fntt-data-aivista-postdoctoral-ai-scientist"},{"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%2Fntt-data-aivista-postdoctoral-ai-scientist"},{"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%2Fntt-data-aivista-postdoctoral-ai-scientist"},{"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/ntt-data-aivista-postdoctoral-ai-scientist\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fntt-data-aivista-postdoctoral-ai-scientist"}]}