Note: The job is a remote job and is open to candidates in USA. Crossing Hurdles is advertising a contract ML Engineer role focused on developing and validating machine-learning models, pipelines, inference systems, and supporting infrastructure. The role also involves building reproducible workflows and ensuring implementations meet correctness and performance requirements.
Responsibilities
- Develop and validate machine-learning models, training pipelines, inference systems, and supporting infrastructure
- Implement model components, data pipelines, evaluation systems, and numerical methods
- Build reproducible programmatic workflows using Python and command-line tools
- Optimize memory or throughput and debug numerical or system-level failures
- Verify that implementations satisfy objective correctness and performance requirements
Skills
- A master s degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, Statistics, Engineering, or a closely related quantitative discipline
- Strong relevant experience in machine learning
- Practical proficiency with Python and coding agents
- 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
Benefits
- Remote
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