Machine Learning Engineer

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Recruitment began on September 18, 2026

and the job listing Expires on October 4, 2026

Full-time

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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.

Required Years Of Experience:

0-1 years of deep learning experience working with codebases supporting cutting-edge AI/ML models.

Degree/Certification:

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

Apply Now

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