Senior Machine Learning Engineer (MSc or PhD) - Remote

Senior Machine Learning Engineer (MSc or PhD) - Remote

Location: Global — Fully Remote
Employment Type: Contract
Workload: Approximately 15 hours per week
Compensation: $60–$120 per hour (output-based)
Required Education: Master's degree or PhD

About the Role

We are seeking experienced Machine Learning Engineers with advanced academic qualifications and strong Python development skills to contribute to an AI training project.

The work involves developing, implementing, reviewing, and validating machine learning engineering tasks across model development, training and inference systems, numerical computing, and performance optimisation.

This is a highly coding-intensive role requiring practical experience with Python 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.

• Optimise memory usage, computational efficiency, and processing throughput.

• Review and validate implementations against defined correctness and performance requirements.

Required Qualifications

• 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 coding agents.

• Experience developing, testing, and debugging machine learning systems.

• Strong problem-solving and technical evaluation skills.

Experience at established technology companies, AI laboratories, research organisations, or recognised engineering environments is preferred. Exceptional academic or open-source experience may also qualify.

Core Skills

• Machine Learning

• Python Programming

• Coding Agents

• Model Development

• Training and Inference Systems

• Numerical Computing

• Data Pipelines

• Performance Optimisation

• Debugging and Validation

• Command-Line Tools

Compensation and Working Arrangements

• $60–$120 per hour, paid per approved task.

• Approximately 15 hours per week.

• Fully remote, open globally.

• Flexible working hours and days, including weekends.

• Independent contractor engagement.

• Payment is output-based; task duration varies, and minimum submission requirements apply.

Start Timeline and Hiring Process

Candidates should be available to start immediately. The first task is expected within 24–48 hours after onboarding.

1. Submit an application and complete screening questions.

2. Complete an AI interview of approximately 30 minutes.

3. Hiring manager review.