ML engineer in AI training

Synthires; United States; Remote; USD 83,000 - 165,000; Full time

Job summary

Synthires ищет опытного инженера по машинному обучению для разработки обучающих моделей, пайплайнов и инференс-систем. Основной фокус — программирование на Python, воспроизводимые рабочие процессы и использование агентов кодирования.

Задачи включают разработку и отладку ML-воркфлоу, оптимизацию памяти и производительности. График гибкий, около 15 часов в неделю, немедленная доступность. Место: США.

Qualifications

• Магистр/PhD в Computer Science, ML, AI, Applied Mathematics, Statistics, Engineering или смежной количественной области.
• - Strong professional or research experience in machine learning.
• - Практическая работа с Python и опыт использования coding agents; умение реализовывать, отлаживать и валидировать сложные ML-воркфлоу.

Responsibilities

• Develop and validate machine learning models, training pipelines, and inference systems.
• Implement model components, data pipelines, evaluation systems, and numerical methods.
• Build reproducible workflows using Python and command-line tools.
• Debug numerical and system-level issues and optimize memory usage and performance.
• Create, solve, review, and validate challenging machine learning engineering tasks.

Skills

Python

Machine learning

Data pipelines

Debugging

Education

Магистр/PhD в CS/ML/AI/Applied Mathematics/Statistics/Engineering

Tools

Coding agents

Job description

Описание

This opportunity is for experienced Machine Learning Engineers to contribute to AI training projects involving model development, training and inference systems, and performance optimization. The role is highly coding-intensive, with a focus on Python, reproducible workflows, and coding agents.

Задачи

• Develop and validate machine learning models, training pipelines, and inference systems.
• Implement model components, data pipelines, evaluation systems, and numerical methods.
• Build reproducible workflows using Python and command-line tools.
• Debug numerical and system-level issues and optimize memory usage and performance.
• Create, solve, review, and validate challenging machine learning engineering tasks.

Требования

• Master's degree or PhD in Computer Science, Machine Learning, AI, Applied Mathematics, Statistics, Engineering, or a related quantitative field. Strong professional or research experience in machine learning. Practical proficiency in Python and experience using coding agents. Ability to implement, debug, and validate complex machine learning workflows. Будет плюсом: Experience at an established technology company, AI laboratory, or research organization; Exceptional academic or open-source engineering experience demonstrating relevant expertise

Условия

$60–$120/hour, with output-based payment for tasks meeting project specifications. Approximately 15 hours per week with a flexible schedule. Immediate availability preferred; first task expected within 24–48 hours after onboarding.