{"id":68268,"url":"https://alion.io/job/spear-machine-learning-engineer","title":"Machine Learning Engineer","company":{"id":25721,"name":"Spear AI","domain":"spear.ai","url":"https://alion.io/company/spear","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"D","score":40,"open_postings":10,"ghost_share":1,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-16T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Washington, United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":131000,"max_usd":286000,"period":"year","method":"role_country_seniority_unknown","sample_n":4027},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"GitHub","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Rest API","optional":false},{"name":"Slack","optional":false},{"name":"Time Series Forecasting","optional":false},{"name":"Knowledge Distillation","optional":true},{"name":"Model Distillation","optional":true},{"name":"Quantization","optional":true},{"name":"Reinforcement Learning","optional":true}],"status":"live","first_seen_at":"2025-10-20T19:37:12Z","employer_posted_date":"2025-10-20","last_verified_at":"2026-10-16T15:20:52Z","board_verified":true,"closed_at":null,"days_open":360,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":360},"description":"We're seeking a skilled Machine Learning Engineer to build and deploy production ML systems for the next-generation data management and artificial intelligence platform for maritime domain awareness.\nSpear AI is a growing defense contracting company dedicated to delivering cutting-edge solutions that support our nation's security. As we expand, we're building a culture where innovation meets mission-critical work. We operate with a flat organizational structure that empowers every team member to make an impact, collaborate directly with leadership, and contribute to projects that matter. Whether you're joining our Hardware, Software, or Services division, you'll work alongside talented professionals who are committed to excellence and advancing the capabilities that keep our nation safe and secure.\nSpear AI builds sonobuoy sensors that are deployed into the water and collect edge data. We also work with the U.S. Navy to collect and process their SONAR data. You'll have an opportunity to work on real-world projects that directly impact warfighter capabilities and mission success.\nWhat You'll Do\nWe're a small team wearing many hats, and you'd have a wide variety of responsibilities that include:\nDesign, train, and optimize machine learning models using PyTorch\nDeploy models to production environments in the cloud and at the edge\nBuild and maintain ML pipelines for training, evaluation, and inference\nIntegrate machine learning models into real-time and batch processing systems\nOptimize model performance for accuracy, latency, and resource constraints\nImplement model monitoring, versioning, and deployment strategies\nWork with signal processing data and time-series analysis\nImprove local development and CI/CD for ML workflows using modern tooling and GitHub Actions\nWho You Are\nWe're looking for someone with strong Machine Learning Engineering skills who shares our most important values:\nYou're fanatical about polish. Every detail matters. You love to make sure your code is linted, formatted, fully typed, and has comprehensive test coverage.\nYou care about correctness. You take pride in the fact that your models perform reliably and downstream consumers trust your predictions.\nYou obsess over performance. You daydream about model latency, throughput, and efficient inference pipelines.\nYou dive deep. It's important for you to really know how things work. You're always building prototypes and setting up experiments to reinforce your understanding.\nYou live on the bleeding edge. You've got a long list of upcoming ML techniques and frameworks you're excited about and can't wait to experiment with new approaches.\nYou're a great teacher. You know how to break down complex ML concepts for a specific audience and make it click with them in a way that gets them excited.\nWhy Work With Us\nWe ship - We don't work on 18-month projects that are irrelevant before they're even finished.\nOur work has impact - We build products that are deployed to U.S. submarines and integrate with the sonobuoys we manufacture.\nWe're growing responsibly - We have the resources to hire a lot more people, but we don't want to build a massive team of people who don't share our values.\nWe're remote - Work from wherever you want. We collaborate in real time on Slack or asynchronously via GitHub.\nWe're profitable - We aren't burning through cash trying to make the business work. But we also have investors who believe in us and are committed to our success.\nWe care about doing great work - You don't need permission to sweat the details here.\n We don't take ourselves too seriously - We're building products that make the world safer. But we don't let that get to our heads.\nImportant Skills\nSeveral years of experience with Python and machine learning frameworks\nExpertise in PyTorch for building and training neural networks\nExperience training and serving models in cloud environments (AWS, Azure, GCP)\nProficiency with MLOps practices including experiment tracking, model versioning, and deployment\nExperience with model optimization for production performance and scale\nKnowledge of Docker and Kubernetes for containerized deployments\nFamiliarity with REST APIs and model serving frameworks\nUnderstanding of CI/CD pipelines for ML systems\nStrong fundamentals in machine learning including model architecture design, training strategies, and evaluation\nNice To Have\nExperience with reinforcement learning algorithms and applications\nDigital signal processing experience\nBackground in time-series analysis or sensor data processing\nExperience with edge deployment and model optimization for resource-constrained environments\nFamiliarity with distributed training across multiple GPUs/nodes\nExperience with model compression techniques (quantization, pruning, distillation)\nContributions to open-source ML projects or research publications\nExperience in defense, aerospace, or other regulated industries\nWhat We Offer\nUnlimited PTO - Take the time you need to recharge and maintain work-life balance.\nDedicated Sick Time - Your health and well-being come first.\nComprehensive Health & Benefits - Medical, dental, and vision coverage to keep you and your family protected.\n11 Paid Holidays - Enjoy time off throughout the year to celebrate and spend with loved ones.\nProfessional Development - Educational opportunities and resources to help you grow your skills and advance your career.\nCollaborative Environment - Work directly with leadership in our flat organizational structure, where your ideas and contributions matter.\nMission-Driven Work - Contribute to projects that directly support national security and make a real-world impact.\n Growth Opportunities - Join us during an exciting expansion phase where you can help shape our future.\nAdditional Benefit Opportunities When You Choose Spear AI:\n401(k) with company match\nOnsite / Remote / Flexible work arrangements or hybrid options (position dependent)\nRelocation assistance (position dependent)\nReferral bonuses\nPerformance bonuses\nLife insurance and disability coverage\nTechnology home office setup stipend\nProfessional certification reimbursement (position dependent)","description_format":"text","description_chars":6151,"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":["Certification reimbursement","Flexible schedule","Growth opportunities","Home office","Life insurance","Professional development","Relocation assistance","Unlimited PTO"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":true,"industries":["C4ISR","Edge AI","Defense AI"],"lifecycle":[{"event":"open","at":"2025-10-20T19:37:12Z"}],"visa":[],"liveness":{"score":6,"band":"cold","label":"Long shot","p_open":1,"p_active":0.213,"p_room":0.28,"age_days":360,"expected_fill_days":38,"reasons":["conf:3","stale_co","ghost","win:tail","crowd:"],"computed_at":"2026-10-16T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/spear-machine-learning-engineer","json_url":"https://alion.io/job/spear-machine-learning-engineer.json","meta":{"generated_at":"2026-10-16T18:18:53Z","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":3269,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-17T00:00:00Z"}},"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":25721},"rest":"https://alion.io/mcp/rest/get_company?id=25721"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fspear-machine-learning-engineer"},{"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%2Fspear-machine-learning-engineer"},{"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%2Fspear-machine-learning-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/spear-machine-learning-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fspear-machine-learning-engineer"}]}