{"id":3992541,"url":"https://alion.io/job/gray-swan-ai-software-engineer-ml-infrastructure","title":"Software Engineer - ML Infrastructure","company":{"id":178416,"name":"Gray Swan AI","domain":"grayswan.ai","url":"https://alion.io/company/gray-swan-ai","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"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":["Pittsburgh, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":130000,"max":185000,"currency":"USD","period":"year","gross":null,"usd_annual":185000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":true,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AI Agents","optional":false},{"name":"Machine Learning","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"Red Teaming","optional":false},{"name":"AWS","optional":true},{"name":"Docker","optional":true},{"name":"GCP","optional":true},{"name":"Kubeflow","optional":true},{"name":"Kubernetes","optional":true},{"name":"MLFlow","optional":true},{"name":"Ray","optional":true},{"name":"Weights & Biases","optional":true}],"status":"live","first_seen_at":"2026-11-09T20:21:27Z","employer_posted_date":"2026-11-09","last_verified_at":"2026-11-10T00:00:13Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"About Gray Swan\nGray Swan is on a mission to empower the world to use AI safely and securely. We evaluate AI models for the leading frontier labs along with building real-time threat detection and adaptive adversarial red teaming agents for teams deploying AI.\nWe're a team of approximately 70 people, well-funded, growing quickly. Our work directly influences how the world deploys AI agents and systems at scale.\nLearn more about how we work.\nThe Role\nWe’re looking for a Software Engineer, AI Infrastructure to work at the intersection of machine learning, software engineering, and production infrastructure. You’ll partner closely with our ML team to build the systems, tools, and workflows that help move models from experimentation into reliable production environments.\nYou’ll improve the developer experience around model training and evaluation, build scalable infrastructure to support ML workflows, and help translate customer requirements and policy considerations into practical technical solutions. This role is ideal for a strong software engineer who enjoys solving complex infrastructure challenges while working closely with ML researchers and engineers to accelerate development and deliver real-world impact.\nWhat You’ll Do:\nBuild and maintain the infrastructure, services, and deployment workflows that enable ML models to move from experimentation into reliable production environments.\n\nDevelop internal tools and automation that improve the developer experience for model training, experimentation, evaluation, and iteration.\n\nDesign and optimize systems supporting model evaluation pipelines, experiment orchestration, reproducibility, and performance monitoring.\n\nPartner with ML engineers and researchers to identify infrastructure bottlenecks and build solutions that accelerate model development and deployment.\n\nSupport customer-specific technical requirements and policy-driven workflows, translating evolving needs into practical, scalable engineering solutions.\n\nImprove the reliability, scalability, and observability of the systems powering our ML capabilities.\n\nWho You Are:\nA strong software engineer with experience building and maintaining production-grade systems, services, or infrastructure.\n\nExperienced with Python and comfortable working across backend systems, APIs, and infrastructure code.\n\nFamiliar with cloud infrastructure, distributed systems, containerization, or platform engineering.\n\nKnowledgeable about ML workflows, including model training, inference, evaluation, or deployment.\n\nComfortable collaborating with ML engineers and researchers to translate complex technical requirements into reliable software.\n\nAn owner who can navigate ambiguity, identify problems independently, and deliver practical solutions in a fast-moving environment.\n\nBonus Points If You Have:\nExperience building ML infrastructure, ML platforms, or internal developer tooling.\n\nFamiliarity with Kubernetes, Docker, and cloud platforms such as AWS or GCP.\n\nExperience with ML infrastructure tools such as Ray, Kubeflow, MLflow, or Weights & Biases.\n\nExperience with model serving, distributed training, inference infrastructure, or large-scale evaluation pipelines.\n\nExposure to AI safety, AI security, adversarial testing, or model behavior evaluation.\n\nExperience translating customer requirements, security constraints, or policy considerations into technical implementations.\n\nIf you don’t have 100% of these, you should still seriously consider applying. We care more about what you can do than your credentials.\nYou’ll Thrive Here If You:\nEnjoy working at the intersection of software engineering, infrastructure, and machine learning rather than staying within a single technical domain.\n\nAre excited to build foundational systems and tooling that help other engineers move faster and work more effectively.\n\nTake ownership of problems from initial investigation through implementation, deployment, and iteration.\n\nThrive in a fast-moving environment where priorities evolve and there isn't always an established playbook.\n\nCommunicate effectively across disciplines and enjoy partnering with researchers, engineers, and other stakeholders.\n\nCare about building reliable, scalable systems that contribute to the safe and secure deployment of advanced AI.\n\nWhat We Offer:\nWe offer a competitive compensation package designed to reward impact and incentivize growth. Our compensation philosophy is informed by our current valuation and recent industry data.\nCompensation: $130,000 - $185,000 plus performance-based bonus and meaningful equity package.\nBenefits:\n401k with up to 4% matching\n\n28 days annual leave (vacation + holidays)\n\nHealth, dental, and vision coverage\n\nCatered lunches (Pittsburgh office)\n\nFlexible work arrangements\n\nVisa sponsorship available for exceptional candidates\n\nInterview Process\nApplication review. We read everything; we’ll respond within 10 days.\nRecruiter Screen. We learn about you; you learn about us.\nTechnical interview or Hiring Manager Interview.\nRole-related assessment.\nExperience & culture interview.\nReference checks. We’ll reach out to 3-5 references that you provide.\nOffer. If it’s mutual, we move fast.\nHow to Apply\nSubmit your resume, link to your portfolio, and answer the questions on the application.","description_format":"text","description_chars":5291,"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":["401k plan","Annual leave","Equity","Flexible schedule"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Cybersecurity AI","AI Safety & Alignment"],"lifecycle":[{"event":"open","at":"2026-11-10T00:00:13Z"}],"visa":[{"country":"US","licensed_sponsor":true,"adverts_offering_sponsorship_24m":16,"sanctioned_now":false,"evidence":"H-1B filings in 12 months: 1","filings_12m":1,"filings_prev_12m":0,"green_card_filings_12m":0,"median_offered_wage_usd":182500,"route":null,"cap_exempt":false,"checked_at":"2026-11-09T07:32:21+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","Alion: sponsorship offered in the employer's own job adverts (24 months)"],"filings_for_role_12m":1}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":30,"reasons":["conf:2","win:early"],"computed_at":"2026-11-10T02:29:12Z"},"pay":{"stated_usd_annual":185000,"is_top_pay":false},"html_url":"https://alion.io/job/gray-swan-ai-software-engineer-ml-infrastructure","json_url":"https://alion.io/job/gray-swan-ai-software-engineer-ml-infrastructure.json","meta":{"generated_at":"2026-11-10T02:29:12Z","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":5812,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-11T00:00:00Z"}},"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":178416},"rest":"https://alion.io/mcp/rest/get_company?id=178416"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fgray-swan-ai-software-engineer-ml-infrastructure"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":2,"usd":0.2},"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%2Fgray-swan-ai-software-engineer-ml-infrastructure"},{"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%2Fgray-swan-ai-software-engineer-ml-infrastructure"},{"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/gray-swan-ai-software-engineer-ml-infrastructure\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fgray-swan-ai-software-engineer-ml-infrastructure"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3992541}},{"tool":"search_jobs","arguments":{"company":"grayswan.ai","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3992541},"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"}}