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

Synthires; Bengaluru; Remote; INR 7,880,000 - 15,759,000; Part time

Job summary

Synthires is seeking an ML Engineer (MSc. or PhD) for a remote, contractor role. The position involves developing and validating machine learning models, training pipelines, and inference systems, with a strong emphasis on Python, reproducible workflows, and coding agents.

The role is part-time (approximately 15 hours per week) with flexible scheduling and immediate onboarding for first task within 24–48 hours. Prior experience in ML and strong academic credentials are preferred.

Qualifications

• Master's degree or PhD in CS/ML/AI or related quantitative field.
• Strong professional or research experience in machine learning.
• Proficient in Python and coding agents.
• Ability to implement and validate complex ML workflows.

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.

Skills

Machine learning

Python

Research experience

Education

Master's or PhD in CS/ML/AI

Tools

Coding agents

Command-line tools

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.