Machine Learning Engineer

Seeking a strong System / Machine Learning Engineer to join our clients team, an organization focused on making research breakthroughs in AI

Responsibilities:

• Developing deep learning libraries that support large-scale distributed training, open-sourcing high-quality code and reproducible results for the community, and bringing the latest research to our client products

• 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.

• Engineer, design, implement, and improve highly scalable 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 Skills:

• Pytorch

• Machine Learning

• Training a large-scale model from scratch

• GPU and distributed systems, as well as acceleration

Nice-to-Have Skills:

• Distributed training for ML models

• Building Open Source Libraries for Machine Learning

• Experience with Machine Learning Research, publishing papers

Minimum Qualifications:

• Degree in Computer Science, Computer Engineering or relevant technical field

• 5+ years’ experience with deep learning

• Experience developing machine learning algorithms or machine learning infrastructure in Python or C/C++

Preferred Qualifications:

• Demonstrated software engineering experience via work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)

Minimum Years of Experience: 5-10 years