Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Обязанности в ML описаны понятно, а AI-направление актуально, но оплата за принятые задания, готовность работать по выходным и быстрый старт оставляют неопределённость по фактической нагрузке и стабильности часов.
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Оплата за результатРабота по выходнымАктуальные технологииСфера ИИ
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Machine Learning Researcher (MSc. or PhD) (AI): Developing and validating machine-learning models, training pipelines, and inference systems with an accent on Python-based implementation, numerical computing, and performance optimization. Focus on building reproducible workflows, debugging technical issues, optimizing memory usage and throughput, and validating implementations against defined requirements.
Location: Global, fully remote. Approximately 15 hours per week with a flexible schedule, including weekends.
Salary: $60–$160 per hour. Payment is based on completed tasks that meet project specifications.
Company
hirify.global delivers IT consulting services and AI training projects.
What you will do
Develop and validate machine-learning models and training pipelines.
Implement model components, data pipelines, and evaluation systems.
Build reproducible workflows with Python and command-line tools.
Debug technical issues and optimize memory usage, throughput, and overall performance.
Review and validate implementations against defined requirements.
Requirements
Master’s degree or PhD in Computer Science, Machine Learning, AI, Applied Mathematics, Statistics, Engineering, or a related field.
Strong professional or research experience in machine learning.
Practical proficiency in Python and coding agents.
Experience with model development, training workflows, and performance optimization.
Nice to have
Experience at established technology companies, AI labs, research organizations, or through exceptional academic and open-source work.
Immediate availability.
Culture & Benefits
Fully remote work from anywhere.
Part-time workload of approximately 15 hours per week.
Flexible scheduling, including weekends.
Task-based compensation for completed work meeting project specifications.
Hiring process
Submit an application and complete screening questions.
Complete an AI interview of approximately 30 minutes.
Complete a hiring manager review; selected candidates should begin their first task within 24–48 hours after onboarding.
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