Machine Learning Engineer

The Global Institute for Health and Human Rights; Detroit (MI); On-site; USD 90,000 - 130,000; Full time

Job summary

The Global Institute for Health and Human Rights in Detroit, MI is seeking a System / Machine Learning Engineer to join our AI Research team, focusing on research breakthroughs and practical productization.

You will work on deep learning codebases, design and implement ML systems, and collaborate with interdisciplinary teams to bring cutting-edge models to scalable platforms.

Qualifications

• 0-1 years of deep learning experience with codebases supporting cutting-edge AI/ML models.
• Proficiency in ML development with Python/PyTorch and/or C/C++.
• Bachelor's Degree in Computer Science or Computer Engineering; PhD or advanced degree preferred.
• Strong software engineering track record or research contributions are a plus.

Responsibilities

• Engineer, design, implement, and improve cutting-edge machine learning systems and tools for enabling research
• Apply knowledge of relevant research domains, along with expert coding skills, to platform and framework development projects
• Write clean and robust machine learning code

Skills

Deep learning

Python

PyTorch

C/C++

Software engineering

Education

Bachelor's Degree in Computer Science or Computer Engineering

PhD or advanced degree preferred

Job description

Recruitment began on September 18, 2026

and the job listing Expires on October 4, 2026

Full-time

Summary

We are seeking a strong System / Machine Learning Engineer to join our AI Research team, an organization focused on making research breakthroughs in AI.

Responsibilities include working with deep learning codebases that support training cutting-edge AI/ML models, creating high-quality results, and bringing the latest research advancements to products for connecting billions of users.

The chosen candidate will work with a diverse and highly interdisciplinary team of scientists, engineers, and cross-functional partners, and will have access to cutting-edge technology, resources, and research facilities.

Key Projects / Day-to-Day Responsibilities

• Engineer, design, implement, and improve cutting-edge machine learning systems and tools for enabling research
• Apply knowledge of relevant research domains, along with expert coding skills, to platform and framework development projects
• Write clean and robust machine learning code

Must-Have Hard Skills

• 0-1 years of deep learning experience working with codebases supporting cutting-edge AI/ML models.
• Proficiency in ML Development: Experience developing machine learning algorithms or infrastructure in Python/PyTorch and/or C/C++.
• Core Education: Degree in Computer Science, Computer Engineering, or a relevant technical field.

Nice-to-Have Skills

• Demonstrated Software Engineering Track Record: Proven experience via professional work, coding competitions, or widely used open-source/GitHub contributions.

Degree/Certification

Bachelor Degree in Computer Science, Computer Engineering or relevant Technical field. PHD or advanced degree preferred