ML Engineer (MSc. or PhD)

micro1; United States; À distance; USD 83 000 - 165 000; Plein temps

Résumé du poste

micro1 is seeking a Senior ML Engineer (MSc or PhD) for a globally remote contractor role (~15 hours per week). You will develop and optimize ML models, training pipelines, and inference systems in Python, tackling performance and numerical challenges.

The role is highly coding intensive, requiring deep ML knowledge, strong Python skills, and experience with building reproducible workflows. Flexible scheduling and immediate start are available.

Qualifications

• Master’s degree or PhD in Computer Science, ML, AI, or a closely related quantitative discipline.
• Strong professional or research experience in machine learning.
• Proficiency with Python and coding agents; experience with reproducible workflows is a plus.

Responsabilités

• Develop and validate ML models, training pipelines, and inference systems.
• Build reproducible workflows using Python and command-line tools.
• Optimize memory and throughput; debug numerical or system-level failures.

Connaissances

Python

Machine Learning

Numerical computing

Formation

Master’s degree or PhD in Computer Science, ML, AI, Applied Mathematics, Statistics, Engineering

Outils

Python

Description du poste

Senior ML Engineer (MSc. or PhD) Pay: $60–$120/hour Location: Global, fully remote Job Type: Contractor (~15 hours per week) Schedule: Flexible—you choose the hours and days you work, including weekends if desired We are looking for highly skilled Machine Learning Experts to contribute to an AI training project involving model development, training and inference systems, numerical computing, performance optimization, and Python. The work involves creating, solving, reviewing, and validating challenging machine-learning engineering tasks. A representative task may require implementing or modifying a model, constructing a reproducible training or inference workflow, optimizing memory or throughput, debugging numerical or system-level failures, and verifying that the resulting implementation satisfies objective correctness and performance requirements. This is a very coding heavy role. Candidates but have experience using coding agents with python in their workflow.

What You’ll Work On

• Develop and validate machine-learning models, training pipelines, inference systems, and supporting infrastructure.
• Implement model components, data pipelines, evaluation systems, and numerical methods.
• Build reproducible programmatic workflows using Python and command-line tools.

Required Qualifications

• A master’s degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, Statistics, Engineering, or a closely related quantitative discipline.
• Strong professional or research experience in machine learning.
• Practical proficiency with Python and coding agents. Equivalent tools may also be considered when the candidate demonstrates directly relevant depth.
• Experience at a well-established technology company, AI laboratory, research organization, or other recognized engineering environment is strongly preferred.
• Exceptional open-source or academic experience may also qualify.

Compensation Structure

Compensation is output-based. Experts are paid per task that meets the project specifications. The time required to complete each task may vary depending on the expert’s experience and workflow. Minimum submission requirements apply.

Start Timeline & Availability

We typically fill roles within 48 hours and are looking for experts who are ready to begin immediately. If selected, you will be expected to start your first task within 24–48 hours of completing onboarding.