AI Research Scientist
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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.
Key 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.
- 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.
- Experience at an established technology company, AI laboratory, or research organization.
- Exceptional academic or open-source engineering experience demonstrating relevant expertise.
- $60–$120/hour , with output-based
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