{"id":1297047,"url":"https://alion.io/job/apkudo-machine-learning-engineer-device-ai","title":"Machine Learning Engineer, Device AI","company":{"id":3785205,"name":"Apkudo","domain":"apkudo.com","url":"https://alion.io/company/apkudo","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Kula","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":109000,"max_usd":233000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":64},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Computer Vision","optional":false},{"name":"Machine Learning","optional":false},{"name":"OpenCV","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Agile","optional":true},{"name":"Edge AI","optional":true}],"status":"live","first_seen_at":"2026-09-25T09:48:43Z","employer_posted_date":"2026-09-25","last_verified_at":"2026-10-01T08:40:18Z","board_verified":true,"closed_at":null,"days_open":6,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":6},"description":"Machine Learning Engineer, Device AI\nThe Device AI team builds the computer vision and machine learning systems that power automated cosmetic inspection, grading, and quality assessment for devices at scale. As a Machine Learning Engineer, you'll help build and maintain the computer vision and ML pipelines that power our automated inspection systems, working under the guidance of senior engineers on the team. You'll get hands-on experience across the full ML lifecycle - from data exploration and model training through evaluation and production deployment - while growing your skills in a collaborative, production-focused environment.\nWhat You'll Do\nBuilt and maintained components of computer vision and machine learning pipelines for automated visual inspection and quality grading, with guidance from senior team members.\n\nSupport model development activities: data exploration and cleaning, feature engineering, model training, and evaluation against defined metrics.\n\nWrite clean, well-tested Python code for production systems, following team standards and best practices.\n\nParticipate in code review as both a reviewer and reviewee, learning from feedback and building good engineering habits.\n\nHelp build and maintain model evaluation and monitoring tooling, and flag performance or data quality issues as they arise.\n\nWork with data labeling and annotation pipelines, helping to improve training data quality under senior guidance.\n\nCollaborate with product and operation partners to understand requirements and translate them into technical tasks.\n\nDocument your work clearly, including model experiments, pipeline changes, and design decisions.\n\nParticipate in sprint planning, stand-ups, and retrospective, and contribute to estimation for your own work,\n\nTake on increasing ownership over time as you build context on the team’s system and domain.\n\nWhat You Bring\nBS in Computer Science, Data Science, or a related field (equivalent hands-on experience can substitute).\n\n3-5 years of professional experience as a Machine Learning Engineer, Data Scientist, or in a closely related applied ML role.\n\nSolid Python proficiency, with experience writing production or near-production code (not just research notebooks).\n\nSome hands-on exposure to computer vision, image processing, or applied ML models, including work that reached a production or near-production environment.\n\nExperience with Python image processing libraries, such as OpenCV or PIL. Familiarity with lifecycle concepts and tools in the AWS environment.\n\nWorking knowledge of SQL and relational databases (PostGreSQL or equivalent), basic familiarity with cloud infrastructure (AWS or equivalent).\n\nExposure to ML engineering functions: model evaluation, version control for models/data, and the experimentation-to-production workflow.\n\nExperience with Python image processing libraries, such as OpenCV or PIL.\n\nWorking knowledge of SQL and relational databases (PostgreSQL or equivalent); basic familiarity with cloud infrastructure (AWS or equivalent).\n\nExposure to ML engineering fundamentals: model evaluation, version control for models/data, and the general experimentation-to-production workflow.\n\nFamiliarity with Generative AI solutions, agentic systems, and the use of AI in development workflows such as Spec-Driven Development or Intent-Driven Development. Experience with any AI coding tools is a plus.\n\nSome experience working within agile teams (sprint planning, stand-ups, retrospectives).\n\nGood written and verbal communication skills; able to explain your work clearly to teammates.\n\nA collaborative mindset and eagerness to learn from more senior engineers on the team.\n\nExposure to edge deployment, on-device inference, or hardware-in-the-loop AI systems is a plus, but not required.\n\n.","description_format":"text","description_chars":3787,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Transportation & Logistics","Supply Chain","Data Entry & Processing"],"lifecycle":[{"event":"open","at":"2026-09-26T09:48:43Z"}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":5,"expected_fill_days":50,"reasons":["conf:7","velocity","win:early"],"computed_at":"2026-10-01T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/apkudo-machine-learning-engineer-device-ai","json_url":"https://alion.io/job/apkudo-machine-learning-engineer-device-ai.json","meta":{"generated_at":"2026-10-01T21:17:32Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":3925,"day_limit":5000,"remaining_today":1075,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}