Role Responsibilities
- Develop and validate machine-learning models and training pipelines
- Implement model components and evaluation systems efficiently
- Build reproducible workflows using Python and command-line tools
- Solve and validate challenges in machine-learning engineering tasks
- Optimize memory and throughput for enhanced performance
- Debug numerical or system-level failures in implementations
- Verify implementations against correctness and performance requirements
Requirements
- A BS in Computer Science, Machine Learning, or related field
- Strong experience in machine learning, either professional or research
- Proficiency with Python and coding agents for workflows
- Experience at a recognized technology company or AI lab preferred
- Relevant open-source or academic experience considered qualifying
- Ability to work with flexible hours and on diverse tasks
- Meet minimum submission requirements for task completion
Application Process (Takes 20 Min)
- Easy Apply on LinkedIn
- Check email for next steps
- Participate in resume evaluation & interview stage
IR35 Status:
Not specified
Industry:
AI & Machine Learning
Seniority Level:
Entry Level