Iron Systems is an innovative, customer-focused provider of custom-built computing infrastructure platforms such as network servers, storage, OEM/ODM appliances & embedded systems. For more than 15 years, customer have trusted us for our innovative problem solving combined with holistic design, engineering, manufacturing, logistic and global support services.

Job Title: Software Engineer III
Location: US - NY - New York

Job Description: Systems / ML Engineer

• We are 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 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 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.

Responsibilities

• 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

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)
• Experience in open-source development

Top 3 Skill Sets:

• Pytorch
• Machine Learning
• Python

Top 3 Nice to Have:

• Building Open Source Libraries for Machine Learning
• Distributed training for ML models
• Experience with Machine Learning Research, publishing papers
• Experience with python backends and APIs
• Experience in software design and development