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

Synthires; Spagna; Remoto; EUR 75.000 - 149.000; Part-time

Descrizione del lavoro

Synthires is seeking an experienced ML Engineer (MSc. or PhD) for a remote, part-time contractor role. The position focuses on Python-based model development, training, inference systems, and performance optimization. The role involves building reproducible workflows and coding agents to tackle ML challenges.

Ideal candidates will have advanced degrees, strong ML experience, and proficiency in Python. The work is output-driven with flexible scheduling and immediate onboarding tasks.

Competenze

• Master's or PhD in CS/ML or related field.
• Strong ML experience and research background.
• Proficient in Python and reproducible workflows.
• Experience implementing ML pipelines.

Mansioni

• Develop and validate ML models and training pipelines.
• Build reproducible Python workflows and tooling.
• Optimize memory usage and performance.
• Debug complex ML workflows and numerical methods.

Conoscenze

Python

Machine learning

Data pipelines

Model evaluation

Debugging

Memory optimization

Formazione

MSc/PhD in CS

Strumenti

Command-line

Descrizione del lavoro

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.