{"id":468558,"url":"https://alion.io/job/sentra-machine-learning-research-scientist","title":"Machine Learning Research Scientist","company":{"id":4399025,"name":"Sentra","domain":"sentra.app","url":"https://alion.io/company/sentra-3","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":75,"open_postings":3,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-27T05:46:45Z"}},"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":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":120000,"max":300000,"currency":"USD","period":"year","gross":null,"usd_annual":300000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Federated Learning","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Amazon Neptune","optional":true},{"name":"ChatGPT","optional":true},{"name":"Claude","optional":true},{"name":"Cursor","optional":true},{"name":"Neo4j","optional":true}],"status":"live","first_seen_at":"2025-10-09T06:04:37Z","employer_posted_date":"2025-10-09","last_verified_at":"2026-10-27T08:36:31Z","board_verified":true,"closed_at":null,"days_open":383,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":382},"description":"Position Overview\nSentra is building organizational superintelligence through memory infrastructure that reasons across time, causality, and context. As a Research Scientist, you will tackle fundamental problems in knowledge representation, temporal reasoning, and semantic compression. You will design and implement systems that maintain execution state for entire organizations, consolidate millions of micro-events into durable knowledge, and learn patterns that predict events before it happens.\nKey Responsibilities\nBuild LLM-powered information extraction pipelines that process unstructured communications and text data into structured entity-relationship representations.\n\nDevelop memory consolidation algorithms that validate information through multiple observations, merge duplicate entities, and prune ephemeral data.\n\nDesign temporal knowledge graph architectures that model organizational execution state as living, continuously updated systems rather than static records.\n\nCreate graph attention mechanisms and reasoning systems for complex causal queries about blockers, dependencies, and outcome patterns.\n\nResearch lossy semantic compression using information-theoretic principles to condense event streams into query-relevant long-term memory.\n\nDesign entity resolution systems handling identity evolution where entities merge, split, and transform through time.\n\nBuild meta-learning systems that identify organizational patterns and recognize when current situations match historical success or failure indicators.\n\nDevelop privacy-preserving cross-organizational learning using federated learning and differential privacy techniques.\n\nPublish research findings and contribute to the broader research community on knowledge graphs and organizational intelligence.\n\nMust-have Requirements\n5+ years building novel systems in machine learning, NLP, knowledge graphs, or related areas with evidence through publications, production implementations, or significant open-source contributions.\n\nDeep knowledge of knowledge graphs, graph neural networks, or temporal reasoning demonstrated through shipped systems and architectural exploration.\n\nStrong ML and NLP foundation, particularly in information extraction, entity resolution, or semantic representation.\n\nProficiency in Python and modern ML frameworks (PyTorch preferred) with experience deploying models at scale.\n\nTrack record of publishing research (conference papers, technical blog posts, or detailed technical documentation) and exploring novel architectures.\n\nAbility to move between theoretical investigation and practical implementation, shipping research into production.\n\nBonus skills:\nGraph databases (Neo4j, TigerGraph, Neptune) and query optimization for large-scale graphs.\n\nInformation theory, compression, or temporal data structures.\n\nCausal inference, probabilistic reasoning, or Bayesian methods.\n\nDistributed systems, stream processing, or real-time ML serving.\n\nHuman memory and cognition models.\n\nPrivacy-preserving ML (federated learning, differential privacy, secure multi-party computation).\n\nEnterprise AI systems, workflow automation, or organizational software.\n\nPublications at top-tier conferences (NeurIPS, ICML, ICLR, KDD, EMNLP, ACL, WWW, SOSP, OSDI).\n\nCompensation and Benefits\nBase Salary: $150,000 - $300,000\n\nEquity: 0.3% - 2% depending on level\n\nComprehensive Health Coverage: Medical, dental, and vision\n\nWellness & Productivity Stipend: $2,500/month to cover meals, transport, gym memberships, or other personal productivity needs\n\nHardware & Tools: Latest MacBook Pro and AI development tools (ChatGPT Pro, Claude Pro, Cursor, etc.)\n\nLearning & Growth: Dedicated budget for conferences, courses, and professional development\n\nRelocation Support: Available for on-site hires\n\nFlexible Time Off Policy\n\nTotal estimated annual benefits package: ~$30K-$35K in addition to base and equity.","description_format":"text","description_chars":3897,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Apple Macbook","Equity","Flexible time off","Gym membership","Professional development"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":true,"industries":["Artificial Intelligence","AI Agents"],"lifecycle":[{"event":"open","at":"2026-09-06T12:44:39Z"}],"visa":[],"liveness":{"score":6,"band":"cold","label":"Long shot","p_open":1,"p_active":0.2,"p_room":0.28,"age_days":382,"expected_fill_days":42,"reasons":["conf:1","win:tail","crowd:"],"computed_at":"2026-10-27T05:46:45Z"},"pay":{"stated_usd_annual":300000,"is_top_pay":true},"html_url":"https://alion.io/job/sentra-machine-learning-research-scientist","json_url":"https://alion.io/job/sentra-machine-learning-research-scientist.json","meta":{"generated_at":"2026-10-27T11:36:49Z","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":13759,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-28T00:00:00Z"}},"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":4399025},"rest":"https://alion.io/mcp/rest/get_company?id=4399025"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fsentra-machine-learning-research-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%2Fsentra-machine-learning-research-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%2Fsentra-machine-learning-research-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/sentra-machine-learning-research-scientist\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fsentra-machine-learning-research-scientist"}]}