Machine Learning Research Scientist (Remote | $60–$120/hr)

Synthires; Spain; Remote; EUR 74,000 - 147,000; Part time

Benefits offered by this job

Remote worldwide

Flexible schedule

Immediate onboarding

Job summary

Synthires is seeking a highly skilled ML Engineer (MSc/PhD) for remote, worldwide engagement. This contractor role is part-time, approximately 15 hours per week, with a strong emphasis on Python coding, model development, training, and inference optimization.

The ideal candidate will have advanced degrees in a quantitative field, substantial ML experience, and a track record in building reproducible ML workflows and data pipelines. Immediate availability is preferred for fast onboarding.

Qualifications

• Master's degree or PhD in CS/ML/AI or related quantitative field.
• Strong ML research or industry experience required.
• Proficient in Python and building reproducible ML workflows.
• Experience with coding agents and model deployment is a plus.

Responsibilities

• Develop and validate ML models, training pipelines, and inference systems.
• Implement model components, data pipelines, evaluation systems, and numerical methods.
• Build reproducible workflows using Python and CLI tools.
• Debug numerical and system-level issues and optimize memory usage and performance.
• Create, solve, review, and validate challenging ML engineering tasks.

Skills

Python proficiency

Machine learning experience

Coding agents

Workflow development

Education

Master's/PhD in CS/ML/AI/Math/Engineering

Job description

ML Engineer (MSc. or PhD) (Remote | $60–$120/hr)

Position: ML Engineer (MSc. or PhD)

Type: Contractor (Part-Time, approximately 15 hours/week)

Compensation: $60–$120/hour

Location: Remote (Worldwide)

About the Opportunity

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.

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 experience using coding agents.
• Ability to implement, debug, and validate complex machine learning workflows.

Preferred Qualifications

• Experience at an established technology company, AI laboratory, or research organization.
• Exceptional academic or open-source engineering experience demonstrating relevant expertise.

Compensation

• $60–$120/hour, with output-based payment for tasks meeting project specifications.
• Approximately 15 hours per week with a flexible schedule.
• Immediate availability preferred; first task expected within 24–48 hours after onboarding.