Machine Learning Engineer | Remote

Crossing Hurdles; Brasil; Remote; BRL 453,000 - 907,000; Full time

Job summary

Crossing Hurdles is seeking an ML Engineer for a remote contract position. You will develop and validate ML models, training pipelines, and inference systems while building supporting infrastructure and reproducible workflows in Python.

You will optimize memory and throughput and debug numerical or system-level failures to ensure objective correctness and performance. Applicants should hold a Master’s degree or PhD in a quantitative field and bring strong ML experience, including practical

Qualifications

• Master's degree or PhD in CS, ML, AI, mathematics, engineering, or closely related quantitative field.
• Strong experience in machine learning.
• Proficiency with Python and coding agents.
• Experience in established tech/AI labs or engineering environments preferred.

Responsibilities

• 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.
• Optimize memory or throughput and debug numerical or system-level failures.
• Verify implementations meet objective correctness and performance requirements.

Skills

Strong ML experience

Python proficiency

Open-source/academic experience

Education

Master's degree or PhD in CS/ML/AI/Math/Engineering

Tools

Python

Job description

• 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.
• Optimize memory or throughput and debug numerical or system-level failures.
• Verify that implementations satisfy objective correctness and performance requirements.

Position: ML Engineer

Type: Contract

Compensation: $60 - $120/hour

Location: Remote

Commitment: 10-40 hrs/week

Role Responsibilities

• 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.
• Optimize memory or throughput and debug numerical or system-level failures.
• Verify that implementations satisfy objective correctness and performance requirements.

Requirements

• A master s degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, Statistics, Engineering, or a closely related quantitative discipline.
• Strong relevant experience in machine learning.
• Practical proficiency with Python and coding agents.
• 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.