10 дней назад
Machine Learning Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Machine Learning Engineer (AI): Developing and validating machine learning models, training pipelines, and inference systems with an accent on Python engineering, numerical computing, and performance optimization. Focus on building reproducible workflows, debugging numerical and system-level issues, and optimizing memory usage, throughput, and model performance.
Location: Global, fully remote; flexible schedule, including weekends.
Company
is hiring contractors for an AI training project focused on machine learning engineering and model systems.
What you will do
- Develop, implement, and validate machine learning models, training pipelines, and inference systems.
- Build model components, data pipelines, evaluation frameworks, and numerical methods.
- Create reproducible workflows with Python and command-line tools.
- Debug numerical, performance, and system-level issues.
- Optimize memory usage, throughput, and overall model performance.
- Review machine learning implementations against correctness and performance requirements.
Requirements
- Master’s degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, Statistics, Engineering, or a related quantitative field.
- Strong professional or research experience in machine learning.
- Advanced practical proficiency in Python and coding agents.
- Experience with one or more of PyTorch, JAX, NumPy, SciPy, SGLang, vLLM, llama.cpp, Hugging Face Transformers, or Hugging Face Tokenizers.
- Strong open-source or academic experience may qualify.
Culture & Benefits
- Contractor engagement for approximately 15 hours per week.
- Global, fully remote work with flexible choice of hours and days.
- Output-based payment for each task that meets project specifications.
- Selected candidates should start their first task within 24–48 hours after onboarding.
Hiring process
- Submit an application and complete screening questions.
- Complete an approximately 30-minute AI interview.
- Complete a hiring manager review.
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