{"id":4262473,"url":"https://alion.io/job/yo-ai-labs-machine-learning-engineer-remote-31","title":"Machine Learning Engineer - Remote","company":{"id":3824455,"name":"YO AI Labs","domain":"yoailabs.com","url":"https://alion.io/company/yoailabs","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Manatal","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":50,"max":150,"currency":"USD","period":"hour","gross":null,"usd_annual":300000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Python","optional":false}],"status":"live","first_seen_at":"2026-11-13T15:48:40Z","employer_posted_date":"2026-11-13","last_verified_at":"2026-11-13T15:48:40Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Job Description: Junior Machine Learning Engineer\nLocation: Global, Fully Remote\nJob Type: Contractor\nTime Commitment: Approximately 15 hours per week\nSchedule: Flexible - choose your preferred working days and hours, including weekends.\nAbout the Role\nWe are seeking skilled Machine Learning Engineers to contribute to an AI training project focused on model development, training and inference systems, numerical computing, performance optimization, and Python-based engineering.\nThis is a highly technical, coding-intensive role. You will create, solve, review, and validate challenging machine learning engineering tasks. Projects may involve implementing or modifying models, building reproducible training and inference workflows, optimizing memory usage and throughput, debugging numerical or system-level issues, and validating solutions against objective correctness and performance requirements.\nCandidates must have practical experience using coding agents as part of their Python development workflow.\nKey Responsibilities\nDevelop and validate machine learning models, training pipelines, inference systems, and supporting infrastructure.\nImplement model components, data pipelines, evaluation systems, and numerical computing methods.\nBuild reproducible workflows using Python and command-line tools.\nDebug and resolve numerical, performance, and system-level engineering issues.\nOptimize model performance, memory usage, and computational efficiency.\nReview and validate machine learning implementations against defined technical requirements.\nRequired Qualifications\nBachelor's degree in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, Statistics, Engineering, or a closely related quantitative field.\nStrong professional or research experience in machine learning.\nAdvanced practical proficiency in Python programming.\nHands-on experience using coding agents within Python development workflows.\nAbility to independently develop, debug, and validate complex technical solutions.\nExperience with equivalent tools may also be considered when supported by directly relevant technical expertise.\nPreferred Background\nExperience at an established technology company, AI laboratory, research organization, or recognized engineering environment.\nExceptional open-source contributions or academic research experience.\nPractical experience with model training, inference optimization, numerical computing, and machine learning infrastructure.\nSelection Process\nSubmit an application and complete the screening questions.\nComplete an AI interview lasting 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