Applied Scientists / Machine Learning - Remote
YO AI Labs · Remote (United States)
Posted January 21, 1970
AI Summary
YO AI Labs is seeking Machine Learning Applied Scientists (MSc or PhD) for a contract, fully remote AI training project. The role involves developing and validating ML models and training pipelines, building reproducible Python workflows, and debugging and optimizing performance and memory usage, with a strong emphasis on hands-on coding and use of coding agents.
Job Description
Job Title: Applied Scientist – Machine Learning (MSc. or PhD)
Job Type: Contractor
Location: Global, Fully Remote
Working Hours: Approximately 15 hours per week
Schedule: Flexible, including weekends
Job Summary
We are seeking experienced Machine Learning Experts to contribute to an AI training project focused on model development, training and inference systems, numerical computing, and performance optimization.
This is a highly coding-intensive role requiring strong Python skills and hands-on experience using coding agents.
Key Responsibilities
- Develop and validate machine-learning models and training pipelines.
- Build reproducible workflows using Python and command-line tools.
- Debug technical issues and optimize memory usage and performance.
- Evaluate and validate machine-learning implementations against defined requirements.
Required Qualifications
- Master's degree or PhD in Computer Science, AI, Machine Learning, Mathematics, Statistics, Engineering, or a related field.
- Strong professional or research experience in machine learning.
- Practical proficiency in Python and coding agents.
- Experience with model development, inference systems, and performance optimization.
Experience at established technology companies, AI labs, research organizations, or through exceptional academic and open-source work is preferred.
Selection Process
- Apply and complete screening questions.
- Complete an AI interview of approximately 30 minutes.
- Attend the hiring manager review.
Start Timeline
- Roles are typically filled within 48 hours.
- Immediate availability is preferred.
- Selected candidates should begin their first task within 24–48 hours after onboarding.
Compensation Structure: Payment is based on completed tasks that meet project specifications. Minimum submission requirements apply.
Originally posted on Himalayas
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