Software Engineer I
US Tech Solutions
About the Role
- Client is seeking a strong System / Machine Learning Engineer to join our Fundamental AI Research (FAIR) team.
- This role focuses 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 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.
Requirements & Tech Stack
- 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++.
Qualifications
- Degree in Computer Science, Computer Engineering, or a relevant technical field is required.
- PhD or advanced degree preferred.
- Demonstrated Software Engineering Track Record: Proven experience via professional work, coding competitions, or widely used open-source/GitHub contributions.