{"id":624268,"url":"https://alion.io/job/fieldai-staff-ml-systems-engineer-distributed-systems","title":"Staff ML Systems Engineer, Distributed Systems","company":{"id":672883,"name":"FieldAI","domain":"fieldai.com","url":"https://alion.io/company/fieldai","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"B","score":82,"open_postings":106,"ghost_share":0.217,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":62,"computed_at":"2026-10-23T05:54:15Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Seattle, United States","Irvine, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":195000,"max":230000,"currency":"USD","period":"year","gross":null,"usd_annual":230000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Dask","optional":false},{"name":"DeepSpeed","optional":false},{"name":"Flink","optional":false},{"name":"FSDP","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Ray","optional":false},{"name":"Spark","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-05-29T18:45:15Z","employer_posted_date":"2026-05-29","last_verified_at":"2026-10-24T00:37:32Z","board_verified":true,"closed_at":null,"days_open":147,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":146},"description":"We are seeking a Staff ML Systems Engineer to architect and build the distributed infrastructure that powers large-scale machine learning workflows across the organization.\nThis role sits at the intersection of machine learning, distributed systems, and platform engineering. You will be responsible for designing scalable systems that support data processing, model training, evaluation, and post-processing pipelines while enabling ML teams to efficiently develop, operate, and scale production-grade workflows.\nYou will play a critical role in defining the architectural patterns, tooling, and infrastructure that underpin our machine learning platform.\nWhat You'll Get To Do\nDesign and build scalable distributed machine learning pipelines across data processing, model training, evaluation, and post-processing workflows.\nArchitect distributed execution systems, including parallelization strategies, workload scheduling, resource allocation, and fault tolerance mechanisms.\nDevelop reusable abstractions, frameworks, and libraries that simplify distributed pipeline development.\nOptimize performance across distributed CPU and GPU environments, improving throughput, utilization, and reliability.\nDesign systems that effectively manage data partitioning, memory utilization, serialization overhead, and compute efficiency.\nPartner closely with ML engineers, data engineers, and infrastructure teams to productionize research workflows and enable large-scale model development.\nEstablish best practices and engineering standards for distributed machine learning infrastructure.\nEvaluate and guide decisions around distributed computing frameworks, infrastructure technologies, and system design trade-offs.\nImprove observability, debugging, monitoring, and operational tooling for distributed systems at scale.\nWhat You Have\n5+ years of experience building distributed systems, backend infrastructure, machine learning platforms, or large-scale data processing systems.\nStrong Python programming skills, including experience with concurrency, performance optimization, and systems development.\nExperience with distributed computing frameworks such as Ray, Spark, Dask, Flink, or similar technologies.\nExperience designing and scaling data pipelines or machine learning workflows.\nStrong system design skills with demonstrated expertise in scalability, reliability, and performance optimization.\nExperience diagnosing and resolving bottlenecks in distributed environments.\nAbility to work cross-functionally and drive technical decisions across multiple teams.\nThe Extras That Set You Apart\nExperience building infrastructure for machine learning training and inference systems.\nFamiliarity with modern ML frameworks such as PyTorch or TensorFlow.\nExperience with multi-node or multi-GPU training architectures, including DDP, FSDP, DeepSpeed, or similar technologies.\nExperience operating Kubernetes-based infrastructure and large-scale cloud systems.\nDeep understanding of distributed systems concepts including data locality, serialization costs, scheduling, and resource management.\nExperience with distributed debugging, observability, and workflow orchestration platforms.\nProven ability to establish technical direction and influence architecture across organizations.","description_format":"text","description_chars":3279,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Robotics AI","Industrial AI"],"lifecycle":[{"event":"open","at":"2026-09-10T18:57:39Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 37","filings_12m":37,"filings_prev_12m":9,"green_card_filings_12m":0,"median_offered_wage_usd":162500,"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":9}],"liveness":{"score":18,"band":"cold","label":"Long shot","p_open":1,"p_active":0.637,"p_room":0.28,"age_days":146,"expected_fill_days":62,"reasons":["conf:3","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-23T05:54:15Z"},"pay":{"stated_usd_annual":230000,"is_top_pay":false},"html_url":"https://alion.io/job/fieldai-staff-ml-systems-engineer-distributed-systems","json_url":"https://alion.io/job/fieldai-staff-ml-systems-engineer-distributed-systems.json","meta":{"generated_at":"2026-10-24T01:45:30Z","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":2862,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-25T00:00:00Z"}},"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":672883},"rest":"https://alion.io/mcp/rest/get_company?id=672883"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Ffieldai-staff-ml-systems-engineer-distributed-systems"},{"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%2Ffieldai-staff-ml-systems-engineer-distributed-systems"},{"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%2Ffieldai-staff-ml-systems-engineer-distributed-systems"},{"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/fieldai-staff-ml-systems-engineer-distributed-systems\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Ffieldai-staff-ml-systems-engineer-distributed-systems"}]}