{"id":149509,"url":"https://alion.io/job/anno-senior-machine-learning-engineer","title":"Senior Machine Learning Engineer","company":{"id":32057,"name":"Anno","domain":"anno.ai","url":"https://alion.io/company/anno","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":75,"open_postings":4,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-16T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":135000,"max_usd":243000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":314},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"BentoML","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"DVC","optional":false},{"name":"Edge AI","optional":false},{"name":"Git","optional":false},{"name":"Grafana","optional":false},{"name":"KServe","optional":false},{"name":"Kubeflow","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"Prometheus","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Seldon Core","optional":false},{"name":"TensorFlow","optional":false},{"name":"Claude","optional":true},{"name":"Copilot","optional":true}],"status":"live","first_seen_at":"2026-06-16T16:07:59Z","employer_posted_date":"2026-09-11","last_verified_at":"2026-10-16T12:49:14Z","board_verified":true,"closed_at":null,"days_open":121,"trust":{"level":"stale","repost_count":1,"flags":["stale"],"days_open":121},"description":"What We Do at Anno.ai\nAnno.ai is a mission-focused defense technology startup dedicated to accelerating the safe and effective development of next-generation autonomous systems. We specialize in building and operating advanced test ranges for low Technology Readiness Level (TRL) single- or dual- use autonomous platforms, providing a critical bridge between early-stage innovation and real-world mission requirements.\nOur ranges are designed to replicate complex, contested, and dynamic environments-giving innovators, researchers, and defense partners the ability to validate, stress-test, and mature their systems with speed and rigor. By combining deep technical expertise with a strong national security ethos, Anno.ai ensures that emerging autonomous technologies are tested not only for performance, but for resilience, adaptability, and operational relevance.\nAnno.ai is a growing company with a team drawn from diverse professional backgrounds, bringing together expertise in defense, technology, engineering, and operations. We intentionally build our teams on the foundation of trust. Our values including the trust rule, ownership, bias for action, never stop learning, and sustainable excellence, not only guide how we work internally, but also how we partner with customers and stakeholders.\nAt Anno.ai, we believe that mission success depends on empowering innovation at the edge. We exist to help our partners move faster, fail smarter, and ultimately deliver autonomous capabilities that safeguard both national security and the future of global stability.\nDisclaimer: Due to the sensitive nature of our engineering work, Anno.ai enforces strict digital footprint and identity verification. We actively monitor for synthetic profiles, proxy networks, and AI interview assistants; any fraudulent activity will result in immediate disqualification. \nPosition Overview \nAs a Senior Machine Learning Engineer at Anno.ai, you will design, develop, test, document, deploy, and maintain production machine learning and statistical modeled software to automate processes and streamline our customer’s mission operations. MLEs work directly with product, user-facing, hardware, and platform teams to deliver the highest quality products. You will join a team of beasts known as “Annomals” are notable for their practical, mission-driven, and fun demeanor. MLEs work directly with product, user-facing, hardware, and platform teams to deliver the highest quality products, and because of these diverse interfaces, we valuegood, seasoned judgment in your approach to management, your career growth, and maintaining ethicaland responsible practices. \nFor this opportunity we are looking for MLEs who have a fairly uniform distribution of talent across a breadth the range of machine learning tasks and skills. You are an experienced MLE, part solid software engineer, and part modeling expert. You have been through the trenches and bring key knowledge and intuition through your combination of training and experience. \nCandidates need to be able to obtain and maintain U.S. Government security clearance (U.S. citizenship required). Candidates must be able to travel up to 20% of the time. \nWhat You Will Do \nOperationalize machine learning models by building and maintaining robust, scalable pipelines for training, evaluation, deployment, and lifecycle management across cloud, on-prem, and edge compute environments\nWork closely with autonomy researchers, software engineers, systems teams, and field operators to translate mission requirements into deployable ML capabilities\nImplement automated CI/CD workflows tailored to ML systems, ensuring repeatable experiments, reliable packaging, and continuous delivery of both up to date models and associated data pipelines\nManage ML runtime infrastructure using containerization and orchestration frameworks (e.g., Docker, Kubernetes) and incorporating model serving platforms (e.g., Seldon, KServe, BentoML)\nDevelop monitoring systems to track model health, performance, data drift, system utilization, and mission relevance using tools such as Prometheus, Grafana, and ELK/EFK stacks\nEnsure ML deployments meet defense, customer, and platform security requirements, with emphasis on data integrity, traceability, and operational reliability\nEvaluate and integrate emerging MLOps, distributed training, and edge inference technologies to enhance reproducibility, extensibility, scalability, and deployment speed of ML systems \nRequired Qualifications \nBachelor’s degree in Computer Science, Electrical Engineering, Data Science, or a related technical field (Master’s preferred)\n5+ years of professional experience in software engineering, machine learning engineering, MLOps, or related roles\nExperience operationalizing ML systems at production scale, including model training, versioning, packaging, deployment, and monitoring\nStrong proficiency in Python and familiarity with at least one deep learning framework (e.g., PyTorch, TensorFlow)\nHands-on experience with MLOps frameworks and workflow tooling (e.g., MLflow, Kubeflow, Airflow, DVC, BentoML)\nExperience deploying containerized ML services using Docker and orchestrating workloads using Kubernetes (including air-gapped or constrained deployments)\nUnderstanding of CI/CD workflows and DevOps practices applied to ML systems (e.g., Git, Code Review, Metrics Evaluation)\nFamiliarity with monitoring, observability, and logging platforms (e.g., Prometheus, Grafana, ELK/EFK)\nAbility to obtain and maintain U.S. Government security clearance (U.S. Citizenship required)\nAbility to travel up to 20% \nPreferred Qualifications \nExperience with deploying models and associated runtimes to Edged Devices\nExperience optimizing models for memory and CPU constrained systems (e.g., embedded systems, microcontrollers)\nPrior experience supporting U.S. Department of War programs, cUAS systems, or mission-critical autonomous platforms\nExperience working with diverse or atypical data sources (e.g., Audio/Acoustics, RF signals, EO/IR imagery)\nExperience deploying and optimizing ML inference on edge or resource-limited compute systems\nExperience with Explainable/Auditable AI/ML tools and interpretable model design\nExperience with AI Software Development Tools (e.g., GitHub CoPilot, Claude) \nTotal Rewards Package for Our US Employees \nCompetitive salary\nEquity\nComprehensive benefits package\n401k with a 5% company match\nPaid holidays and generous paid time off offering\nPaid leave programs\nPatent bonus program\nEmployee referral bonus program\nLearning and development program\nOpportunity to work with a team of highly skilled, creative and motivated team members\nQuick Note on Role Fit\nIf you think you have what it takes to fulfill this opportunity, but don't necessarily check every box, please still connect with us at . Feel free to send a cover letter so we can get to know you better!","description_format":"text","description_chars":6917,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["401k plan","Equity"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["AI Agents","Custom Software Development"],"lifecycle":[{"event":"open","at":"2026-06-16T16:07:59Z"},{"event":"close","at":"2026-09-09T15:47:38Z"},{"event":"reopen","at":"2026-09-12T15:47:39Z"}],"visa":[],"liveness":{"score":10,"band":"cold","label":"Long shot","p_open":1,"p_active":0.349,"p_room":0.28,"age_days":121,"expected_fill_days":35,"reasons":["conf:2","win:tail","crowd:"],"computed_at":"2026-10-16T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/anno-senior-machine-learning-engineer","json_url":"https://alion.io/job/anno-senior-machine-learning-engineer.json","meta":{"generated_at":"2026-10-16T15:22:00Z","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":15147,"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":32057},"rest":"https://alion.io/mcp/rest/get_company?id=32057"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fanno-senior-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%2Fanno-senior-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%2Fanno-senior-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/anno-senior-machine-learning-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fanno-senior-machine-learning-engineer"}]}