{"id":2642307,"url":"https://alion.io/job/yo-ai-labs-ml-engineer-remote","title":"ML Engineer - Remote","company":{"id":3824455,"name":"YO AI Labs","domain":"yoailabs.com","url":"https://alion.io/company/yoailabs","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Manatal","truth_index":{"grade":"A","score":100,"open_postings":19,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":11,"computed_at":"2026-10-16T05:45:00Z"}},"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":null,"salary_estimate":{"min_usd":183000,"max_usd":401000,"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":"Hugging Face","optional":false},{"name":"JAX","optional":false},{"name":"llama.cpp","optional":false},{"name":"Machine Learning","optional":false},{"name":"NumPy","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"SciPy","optional":false},{"name":"SGLang","optional":false},{"name":"Transformers","optional":false},{"name":"vLLM","optional":false}],"status":"live","first_seen_at":"2026-10-15T19:07:21Z","employer_posted_date":"2026-10-15","last_verified_at":"2026-10-16T11:16:55Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Machine Learning Engineer\nLocation: Global, Fully Remote\nJob Type: Contractor (~15 hours per week)\nSchedule: Flexible - choose your preferred hours and days, including weekends.\nWe are looking for highly 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 coding-intensive role. Candidates must have hands-on experience using Python and coding agents as part of their development workflow.\nWhat You'll Work On\nDevelop, implement, and validate machine learning models, training pipelines, and inference systems.\nBuild model components, data pipelines, evaluation frameworks, and numerical methods.\nCreate reproducible workflows using Python and command-line tools.\nDebug numerical, performance, and system-level issues.\nOptimize memory usage, throughput, and overall model performance.\nReview and validate machine learning implementations against defined correctness and performance requirements.\nRequired Qualifications\nMaster's degree or PhD 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 and coding agents.\nExperience with one or more of the following:PyTorch\nJAX\nNumPy / SciPy\nSGLang\nvLLM\nllama.cpp\nHugging Face Transformers\nHugging Face Tokenizers\n\nEquivalent tools may also be considered where candidates demonstrate relevant technical depth.\nExperience at a technology company, AI laboratory, research organization, or recognized engineering environment is preferred.\nStrong open-source or academic experience may also qualify.\nProcess\nApply and complete the screening questions.\nComplete an AI interview of approximately 30 minutes.\nComplete the hiring manager review.\nCompensation\nCompensation is output-based, with payment provided per task that meets project specifications. Task completion time may vary depending on experience and workflow. Minimum submission requirements apply.\nStart Timeline & Availability\nWe typically fill roles within 48 hours and are seeking experts who can start immediately. 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