{"id":1119934,"url":"https://alion.io/job/relativity-staff-ai-engineer","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":79,"open_postings":6,"ghost_share":0,"stale_share":0.833,"repost_share":0,"time_to_fill_p50_days":42,"computed_at":"2026-11-14T05:58:10Z"}},"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":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"Helm","optional":false},{"name":"Java","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"Pulumi","optional":false},{"name":"Python","optional":false},{"name":"Quantization","optional":false},{"name":"Scala","optional":false},{"name":"Spark","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-09-22T18:26:52Z","employer_posted_date":"2026-09-22","last_verified_at":"2026-11-14T03:48:34Z","board_verified":true,"closed_at":null,"days_open":52,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":52},"description":"Posting Type\nHybrid/Remote\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.\nJob Description and Requirements\nWHAT WE DO\nThe AI team at Relativity is focused on helping users discover the truth faster and act on data with confidence through AI-powered capabilities embedded throughout the discovery process.\nBuild trusted AI solutions that improve user experiences, products, investigations, and legal matters.\nDevelop world-class tools to solve complex challenges through experimentation and innovation.\nLeverage AI across all stages of the discovery lifecycle to improve outcomes and optimize product operations.\nInvest in modern data infrastructure, data pipelines, and data lake technologies that enable large-scale AI and analytics.\nFoster a culture of exploration, experimentation, continuous learning, and innovation.\nABOUT THE ROLE\nStaff AI Engineers at Relativity operate as domain architects and strategic accelerators. This role works across multiple engineering and data science teams to define the long-term vision for Relativity’s machine learning platform, guide high-impact initiatives from concept through production, and ensure AI capabilities remain secure, reliable, scalable, and cost-effective.\nWHAT YOU’LL DO\nDefine and evangelize the multi-year technical roadmap for ML Ops, aligning platform architecture with product and research objectives.\nProvide technical direction and mentorship across multiple engineering teams and organizations.\nDrive the design and architecture of training, inference, and monitoring systems focused on scalability, extensibility, performance, and reliability.\nPartner with product, program, and data science leaders to scope and deliver cross-functional roadmaps.\nEvaluate emerging ML Ops technologies and establish engineering standards and best practices.\nChampion advanced optimization techniques, including sparsity, quantization, and pruning, to improve performance and cost efficiency.\nCollaborate with security teams to maintain strong data protection practices and responsible AI standards.\nLead architecture reviews, publish engineering best practices, and mentor senior and lead engineers across the organization.\nWHAT WE’RE LOOKING FOR\nRequired\n8+ years of professional software engineering experience.\n5+ years of experience working in ML/AI or big data environments.\n4+ years of technical leadership experience across multiple teams.\nExpert-level proficiency in Python, Java, or Scala for production systems.\nDeep hands-on experience with Docker, Kubernetes/Helm, and infrastructure-as-code tools such as Terraform or Pulumi.\nProven experience building and operating CI/CD pipelines for machine learning workflows using technologies such as Prefect or Airflow.\nExperience deploying and operating secure, monitored services on AWS, Azure, or GCP.\nDemonstrated ability to mentor senior engineers, influence technical strategy, and drive cross-team initiatives to successful completion.\nPreferred\nMaster’s or PhD in Computer Science, Engineering, Mathematics, or a related field.\nRecognized technical thought leadership through open-source contributions, conference presentations, or publications.\nExperience scaling ML platforms utilizing distributed data technologies such as Spark or Kafka.\nExpertise implementing advanced model optimization techniques, including compression, pruning, and quantization, in production 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":5684,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":["Continuous learning","Equity","Parental leave"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Design & Creative","Document Management","Branding"],"lifecycle":[{"event":"open","at":"2026-09-22T18:26:52Z"}],"visa":[],"liveness":{"score":45,"band":"ok","label":"Likely open","p_open":1,"p_active":0.817,"p_room":0.55,"age_days":52,"expected_fill_days":42,"reasons":["conf:2","urgency","velocity","win:tail"],"computed_at":"2026-11-14T05:58:10Z"},"pay":{"stated_usd_annual":307000,"is_top_pay":true},"html_url":"https://alion.io/job/relativity-staff-ai-engineer","json_url":"https://alion.io/job/relativity-staff-ai-engineer.json","meta":{"generated_at":"2026-11-14T13:31:04Z","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":13801,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-15T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"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"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"free","price":{"credits":0,"usd":0},"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"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"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"},{"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\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Frelativity-staff-ai-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":1119934}},{"tool":"search_jobs","arguments":{"company":"relativity.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":1119934},"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. Docs: https://alion.io/developers"}}