Работа связана с серьёзными инженерными задачами в актуальной AI-сфере, но оплата за отдельные задания и неизвестная компания затрудняют оценку стабильности и перспектив сотрудничества.
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Оплата за результатКомпания не указанаАктуальные ML-задачиСфера искусственного интеллекта
Оценка от Hirify AI
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Описание вакансии
TL;DR
Senior ML Engineer (AI): Building and optimizing machine learning systems for an AI training project with an accent on model development, numerical computing, and training pipelines. Focus on creating reproducible solutions, optimizing performance, and debugging complex system-level failures.
🚀 WE’RE HIRING: Senior ML Engineer (MSc. or PhD)
Build, optimize, and validate machine learning systems.
Contribute to an AI training project tackling challenging engineering tasks across model development, numerical computing, training pipelines, inference systems, and performance optimization.
📍 Role details
• 🌐 Global | Fully remote
• Contract: Contractor, approximately 15 hours weekly
• Advertised compensation: $60–$120/hour
• Payment: Per task meeting project specifications; minimum submission requirements apply
• Schedule: Flexible hours and days, including weekends
• Openings: 100
💡 The opportunity
• Apply your expertise to coding-heavy machine learning challenges.
• Create reproducible solutions that meet objective correctness and performance requirements.
• Use Python and coding agents throughout your workflow.
🎯 What you’ll do
• Develop and validate models, training pipelines, inference systems, and supporting infrastructure.
• Implement model components, data pipelines, evaluation systems, and numerical methods.
• Build reproducible workflows using Python and command-line tools.
• Optimize memory usage and throughput.
• Debug numerical and system-level failures.
• Create, solve, review, and validate demanding engineering tasks.
🧠 What you’ll bring
• A master’s degree or PhD in a relevant computing, engineering, or quantitative discipline.
• Strong professional or research experience in machine learning.
• Practical proficiency with Python and coding agents.
• Preferred experience at an established technology company, AI laboratory, research organization, or recognized engineering environment.
• Exceptional academic or open-source experience may also qualify.
Ready to start? Selected experts begin their first task within 24–48 hours after onboarding.
Application link: [Показать контакты]
#Hiring #MLEngineer #MachineLearning #Python #AI #RemoteJobs
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