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

Synthires; San Francisco (CA); A distancia; USD 83.000 - 165.000; A tiempo parcial

Descripción de la vacante

Synthires is seeking an experienced ML Engineer (MSc. or PhD) for a remote, part-time contractor role.

The position focuses on AI training projects, model development, training pipelines, and inference systems, with emphasis on Python, reproducible workflows, and coding agents. Responsibilities include developing and validating ML models, building data pipelines, implementing evaluation systems, and memory/performance optimization.

Formación

• Master's or PhD in a quantitative field.
• Strong professional or research experience in machine learning.
• Proficiency in Python and experience using coding agents.
• Ability to implement, debug, and validate complex ML workflows.

Responsabilidades

• 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 ML engineering tasks.

Conocimientos

Python

ML workflows

Coding agents

Model development

Educación

Master's or PhD in CS/ML/AI

Herramientas

Command-line tools

Python

Descripción del empleo

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.