Machine Learning Researcher (MSc. or PhD)
Posted 2 days ago
You'll complete your application on micro1's career site.
About the Role
We are looking for expert Machine Learning professionals to contribute to a sophisticated AI project centered on model development, inference, training systems, performance tuning, and numerical computation. This is a technical, programming-intensive position where you will be tasked with designing, troubleshooting, and verifying difficult engineering problems that challenge the limits of existing machine learning technologies. You will be responsible for creating repeatable inference and training processes, maximizing throughput and memory efficiency, and resolving complex system-level or numerical errors. You must maintain high standards for performance and technical accuracy, incorporating Python-based AI coding agents into your development process to improve precision and productivity.
Requirements
- Possess a Master’s degree or PhD in Artificial Intelligence, Computer Science, Machine Learning, Statistics, Applied Mathematics, Engineering, or a relevant quantitative field.
- Demonstrate significant professional or research experience in machine learning.
- Show practical mastery of Python and the use of current coding assistants.
- Provide evidence of depth through professional history at research labs, engineering firms, or tech companies, or alternatively, through significant academic research or open-source contributions.
Responsibilities
- Create and verify a variety of machine learning models, training architectures, and related infrastructure.
- Program model elements, evaluation frameworks, data pipelines, and specific numerical algorithms.
- Develop and manage consistent, reproducible workflows by utilizing command-line interfaces and Python to satisfy all technical criteria.
Benefits & Perks
- This is a remote, flexible contract role.
- Compensation ranges from 60 to 120 USD per hour, dependent on performance.
- Set your own working hours, with the option to work over the weekend if desired.
Note: This listing is summarized and paraphrased by WorkNow from a publicly posted role. For the original wording and full details, please refer to the employer's official posting.
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