Systems / ML Engineer III

Job Title: Systems / ML Engineer III
Location: Remote (Ideally EST, but anywhere in NORAM should work)
Duration: 12 Months (possibility for extension)
Summary:

• 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.

Top 3 Skill Sets:

• Pytorch
• Machine Learning
• Python

Top 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

Years of Experience:

• 5-10

Degrees/Certifications Required:

• Computer Science / Engineering

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
• 3+ 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

Story Behind the Need Business Group & Key Projects: Key Projects/Day-to-Day Responsibilities:

• 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 client s 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.

How will performance be measured?

• Completion and quality of engineering tasks.

What makes this role interesting?

• This is working on cutting-edge Machine Learning training and inference code to create State of the Art research models. It s working with leading researchers in the field.

Value added or experience gained:

• Cutting edge distributed training for creating state of the art ML models.

Interview Process: How many rounds of interviews? 1 2.