Software Engineer I- # 26-23722

• Client is seeking a strong System / Machine Learning Engineer to join our Fundamental AI Research (FAIR) 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 our 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

• 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.

Education

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

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