{"id":3634716,"url":"https://alion.io/job/relativity-staff-ai-engineer-3","title":"Staff AI Engineer","company":{"id":2576,"name":"Relativity","domain":"relativity.com","url":"https://alion.io/company/relativity","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":75,"open_postings":3,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":49,"computed_at":"2026-11-03T05:54:40Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":205000,"max":307000,"currency":"USD","period":"year","gross":null,"usd_annual":307000},"salary_estimate":null,"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"LLM Evaluation","optional":false},{"name":"Python","optional":false}],"status":"live","first_seen_at":"2026-11-02T20:50:47Z","employer_posted_date":"2026-11-02","last_verified_at":"2026-11-03T12:35:20Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Posting Type\nRemote/Hybrid\nJob Overview\nWHO WE ARERelativity is a leading legal data intelligence company building technology that helps users organize data, discover the truth, and act on it with confidence. Our AI-powered, cloud platform, RelativityOne, transforms massive volumes of complex information into actionable insights for litigation, investigations, regulatory inquiries, data breach responses, and other high-stakes legal work where accuracy and trust are crucial.\nThe world’s largest law firms, corporations, and government agencies rely on Relativity’s legal AI software to securely surface and manage the most relevant and impactful information in their matters. Beyond our commercial impact, we are committed to expanding access to technology and supporting pro bono legal work.\nWHAT WE DO\nAI engineers at Relativity build and operate the AI/ML systems behind privacy programs, confidential information detection, and misconduct detection at production scale and under real legal stakes. The work spans building, deploying, and operating AI/ML systems, the data platforms that feed them, and the architecture that ties them together.\nJob Description and Requirements\nABOUT THE ROLE \nThis role sits within Data Breach Response (DBR) engineering, which comprises four teams distributed across North America and Poland. DBR is an AI-powered product that helps identify and respond to data breaches at scale, against strict regulatory deadlines and tight timelines.\nWHAT YOU’LL DO\nArchitect end-to-end AI/ML solutions, applying reliability, scalability, security, cost, and maintainability principles across the AI/ML lifecycle.\nBuild the AI Engineering discipline in DBR and the broader engineering organization.\nWork across Relativity to elevate AI Engineering practices and standards.\nMentor junior AI Engineers, as well as senior and lead engineers.\nPartner with product and engineering leadership to define the AI strategy for DBR.\nLead execution of the AI strategy across DBR engineering teams.\nBuild, deploy, monitor, and operate AI/ML systems in production, including pipelines and evaluation harnesses used by Applied Science.\nBuild and operate the data pipelines and platforms that feed AI/ML systems, partnering with Product, Applied Science, and DevOps.\nDetermine how data, models, services, and deployment patterns fit together, balancing latency, throughput, accuracy, and regulatory constraints.\nPrevent problems through system design and automation, build alerting, conduct root cause analysis, and share learnings.\nCommunicate risks and technical decisions across stakeholders.\nWHAT WE’RE LOOKING FOR\nRequired\n10+ years of experience designing, building, and operating cloud-native distributed systems, including 5+ years focused on AI/ML systems and data platforms in production at scale.\nTechnical leadership across multiple teams or domains, with experience setting direction and aligning teams on architecture decisions.\nBackground in AI/ML architecture, data engineering, and security at scale.\nFluency with ML frameworks and tooling used to deploy, monitor, and operate models and build the infrastructure against which Applied Science evaluates them.\nExperience translating business goals into technical strategy.\nExperience with AI/ML Engineering, Data Engineering, MLOps, Distributed Systems, Cloud Architecture, Technical Leadership, and Responsible AI or Governance.\nPreferred\nExperience shaping data platforms, evaluation infrastructure, or AI governance standards.\nTrack record of driving organization-wide AI/ML engineering improvements in regulated or large-scale environments.\nWHY WE COULD BE A GREAT FIT\nImpactful Mission\nBuild systems that help customers organize data, discover the truth, and act on it in high-stakes legal matters.\nEngineering at Scale\nWork on distributed, cloud-native systems that process large volumes of data.\nCutting-Edge Technology\nBuild with AI, cloud platforms, and scalable architectures shaping legal tech.\nGrowth and Ownership\nGain experience owning systems end-to-end across cloud and distributed environments.\nCollaborative Culture\nWork in a team focused on knowledge sharing and continuous improvement.\nInclusive Environment\nDiverse perspectives create stronger teams and better outcomes.\nCompensation and Benefits\nCompetitive salary, benefits, DTO, parental leave, and equity program.\nRelativity is committed to competitive, fair, and equitable compensation practices.\nThis position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives.\nThe expected salary range for this role is betweenfollowing values:\n$205,000 and $307,000The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position.\nRequired Skills:\nAlgorithms, Artificial Intelligence (AI), Big Data, Cloud Computing, Data Science, Deep Learning, Distributed Systems, Natural Language, Python (Programming Language), Software Engineering","description_format":"text","description_chars":5189,"description_truncated":false,"requirements":{"experience_years_min":10,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity","Parental leave"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Document Management","Legal AI","Legal Software"],"lifecycle":[{"event":"open","at":"2026-11-02T20:50:47Z"}],"visa":[],"liveness":{"score":99,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.993,"p_room":1,"age_days":0,"expected_fill_days":49,"reasons":["conf:3","urgency","velocity","win:early"],"computed_at":"2026-11-03T05:54:40Z"},"pay":{"stated_usd_annual":307000,"is_top_pay":true},"html_url":"https://alion.io/job/relativity-staff-ai-engineer-3","json_url":"https://alion.io/job/relativity-staff-ai-engineer-3.json","meta":{"generated_at":"2026-11-03T14:51:04Z","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":20770,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-04T00:00:00Z"}},"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":2576},"rest":"https://alion.io/mcp/rest/get_company?id=2576"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Frelativity-staff-ai-engineer-3"},{"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%2Frelativity-staff-ai-engineer-3"},{"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%2Frelativity-staff-ai-engineer-3"},{"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/relativity-staff-ai-engineer-3\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Frelativity-staff-ai-engineer-3"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3634716}},{"tool":"search_jobs","arguments":{"company":"relativity.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3634716},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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