ML Engineer

О вакансии

Чем предстоит заниматься

• Develop and validate machine-learning models, training pipelines, inference systems, and supporting infrastructure.
• Build reproducible programmatic workflows using Python and command-line tools.

Что нужно для работы

• NumPy and SciPy
• Hugging Face Transformers
• Hugging Face Tokenizers
• Equivalent tools may also be considered when the candidate demonstrates directly relevant depth.
• Experience at a well-established technology company, AI laboratory, research organization, or other recognized engineering environment is strongly preferred. Exceptional open-source or academic experience may also qualify.
• A master’s degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, Statistics, Engineering, or a closely related quantitative discipline.
• Strong professional or research experience in machine learning.
• Practical proficiency with Python and coding agents.
• Complete an AI interview of approximately 30 minutes.
• Complete the hiring manager review.
• Compensation Structure
• Compensation is output-based. Experts are paid per task that meets the project specifications. The time required to complete each task may vary depending on the expert’s experience and workflow.
• Minimum submission requirements apply.
• Start Timeline & Availability
• We typically fill roles within 48 hours and are looking for experts who are ready to begin immediately. If selected, you will be expected to start your first task within 24–48 hours of completing onboarding.
• Completely remote work;
• Contract employment format;
• Salary level: from $80 to $150 per hour, per week up to 15 hours;
• Candidate performs tasks/hours. Receives funds on Stripe or Wise without assigning a payment, as on UpWork;
• Project area: AI.
• ML & Data Science — размещение

Что предлагает компания

• Salary level: from $80 to $150 per hour, up to 15 hours a week;