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

Synthires; Espanha; Teletrabalho; EUR 74 000 - 147 000; Tempo parcial

Resumo da oferta

Synthires is seeking a highly skilled ML Engineer (MSc or PhD) for a remote, contractor role. You will develop and optimize machine learning models, training pipelines, and inference systems, with a focus on Python, reproducible workflows, and coding agents.

This part-time engagement (~15 hours/week) offers flexible scheduling and output-based pay, with immediate onboarding and first task within 24–48 hours.

Qualificações

• Master's or PhD in a quantitative field with ML focus.
• Strong professional or research experience in machine learning.
• Proficiency in Python and experience with 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 machine learning engineering tasks.

Conhecimentos

Python

Machine Learning

Coding agents

ML pipelines

Formação académica

MSc/PhD in Computer Science, ML, AI, Applied Math, Stats, Engineering or related quantitative field

Descrição da oferta de emprego

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.