About this opportunity
The Global Institute for Health and Human Rights lists this Machine Learning Engineer opportunity in detroit, Michigan. Review the employer’s description below for duties, qualifications and application requirements.
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
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Worksite address
detroit, MI, 48228, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.