Deep Learning Engineer | Remote

Crossing Hurdles; United States; On-site; USD 120,000 - 180,000; Full time

Job summary

Crossing Hurdles is seeking an experienced machine-learning engineer to develop and validate models, training pipelines, and inference systems within a robust ML platform.

You will implement model components, data pipelines, and evaluation systems, building reproducible Python-based workflows and debugging system-level issues to meet correctness and performance goals.

Qualifications

• Master's degree or PhD in a quantitative discipline.
• Strong relevant experience in machine learning.
• 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.

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.

Skills

Python

Machine learning

Data pipelines

Education

Master's or PhD in Computer Science/ML/AI/Applied Mathematics/Statistics/Engineering

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.

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.