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

Synthires; California; 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 remote, part-time engagement. The role focuses on creating and validating ML models, training pipelines, and inference systems, with strong emphasis on Python and reproducible workflows.

Ideal candidates bring deep ML expertise and a track record in research or industry. Contractor position, approx 15 hours/week, $60–$120/hour, immediate onboarding preferred.

Formación

• Master's degree or PhD in a quantitative field (CS, ML, math).
• Strong ML experience with model training and evaluation.
• Proficiency in Python and coding agents; able to implement workflows.

Responsabilidades

• Develop and validate machine learning models and training pipelines.
• Build inference systems and optimize performance and memory usage.
• Create reproducible Python workflows and scalable data pipelines.
• Debug complex ML workflows and improve numerical stability.
• Tackle challenging ML engineering tasks and document results.

Conocimientos

Python

Machine Learning

Model training

Educación

Master's degree

PhD

Herramientas

TensorFlow

PyTorch

Git

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.