{"id":1788013,"url":"https://alion.io/job/mach9-ml-infrastructure-engineer-2","title":"ML Infrastructure Engineer","company":{"id":2667056,"name":"Mach9","domain":"mach9.ai","url":"https://alion.io/company/mach9-com","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Work at a Startup","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":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":160000,"max":250000,"currency":"USD","period":"year","gross":null,"usd_annual":250000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"AWS CDK","optional":false},{"name":"CI/CD","optional":false},{"name":"Image Segmentation","optional":false},{"name":"Knowledge Distillation","optional":false},{"name":"Metaflow","optional":false},{"name":"Model Distillation","optional":false},{"name":"ONNX Runtime","optional":false},{"name":"Prefect","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Quantization","optional":false},{"name":"TensorRT","optional":false},{"name":"Terraform","optional":false},{"name":"Weights & Biases","optional":false}],"status":"live","first_seen_at":"2026-10-03T17:33:15Z","employer_posted_date":"2026-10-03","last_verified_at":"2026-10-05T22:45:51Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"The role\nAt Mach9, ML infrastructure engineers build and maintain the systems that power production AI models for civil engineering and surveying. Our ML pipeline spans 10,000+ miles of labeled survey data, image segmentation networks, and 3D prediction models serving real-time inference to surveyors and engineers in the field.\nThis role is ideal for mid-career ML infrastructure engineers with experience building for both training and inference.\nYou'll build training pipelines that handle deep transformer models on hundreds of terabytes of 3D point cloud and image data. You'll also architect our inference infrastructure, delivering both heavy offline detection algorithms and real-time responsive inference that integrates directly with our CAD software.\nResponsibilities\nDesign and build a centralized system for versioning training data, generated datasets, and model artifacts, with full lineage tracking from raw source data through to trained model outputs.\n\nDevelop and maintain reliable, reproducible ML training and data generation pipelines.\n\nRefactor and harden existing training and data generation scripts into composable, testable, and maintainable components.\n\nCreate CI/CD workflows for validating data pipelines and model training runs, including automated correctness checks and regression detection.\n\nBuild tooling that enables ML engineers to launch, monitor, and debug training jobs with minimal friction.\n\nOptimize and scale real-time model inference services to meet latency and throughput requirements in production, including profiling, batching strategies, and resource-efficient serving.\n\nOwn the deployment path from trained model artifact to production endpoint, ensuring reliable rollouts, rollback, and monitoring.\n\nRequirements\n3+ years of work experience in relevant fields.\n\nBachelor's or Master's degree in Computer Science, Engineering, or equivalent experience.\n\nStrong communication skills and the ability to work closely with ML researchers and engineers to understand their workflows and translate them into robust systems.\n\nExperience designing and building data versioning, artifact management, or dataset lineage systems (e.g., DVC, LakeFS, Weights & Biases, or custom solutions).\n\nHands-on experience with ML pipeline orchestration tools (e.g., Airflow, Prefect, Metaflow, or similar).\n\nExperience with model serving and inference optimization - profiling latency, reducing memory footprint, or scaling serving infrastructure to meet real-time constraints.\n\nAbility to read and refactor ML training code - you don't need to design model architectures, but you need to understand what training pipelines are doing well enough to make them reliable.\n\nProficient with Python, PyTorch.\n\nBonus qualifications\nFamiliarity with AWS infrastructure services.\n\nExperience with containerized ML workflows and GPU-accelerated training environments.\n\nExperience with model optimization techniques (e.g., quantization, TensorRT, ONNX Runtime, distillation).\n\nKnowledge of infrastructure-as-code tools (e.g., AWS CDK, Terraform).\n\nExperience building or operating ML systems that handle large unstructured datasets (imagery, 3D data, sensor data).","description_format":"text","description_chars":3183,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Space & Aerospace","Geospatial Analytics","Computer Vision"],"lifecycle":[{"event":"open","at":"2026-10-03T17:33:15Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":1,"expected_fill_days":35,"reasons":["conf:1","velocity","win:early"],"computed_at":"2026-10-05T05:45:15Z"},"pay":{"stated_usd_annual":250000,"is_top_pay":true},"html_url":"https://alion.io/job/mach9-ml-infrastructure-engineer-2","json_url":"https://alion.io/job/mach9-ml-infrastructure-engineer-2.json","meta":{"generated_at":"2026-10-06T01:01:49Z","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","counted_by":"address","units_charged":1,"used_today":1412,"day_limit":5000,"remaining_today":3588,"minute_limit":60,"resets_at":"2026-10-07T00:00:00Z"}},"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":2667056},"rest":"https://alion.io/mcp/rest/get_company?id=2667056"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fmach9-ml-infrastructure-engineer-2"},{"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%2Fmach9-ml-infrastructure-engineer-2"},{"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%2Fmach9-ml-infrastructure-engineer-2"},{"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/mach9-ml-infrastructure-engineer-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fmach9-ml-infrastructure-engineer-2"}]}