Software Engineer III

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 :

• Refresh of request 60754-1. See notes on the old request :
• Resume feedback : The resumes were more focussed on deploying AI / ML solutions or maybe some fine-tuning vs training a large-scale model from scratch.
• Make sure resumes are detailed in the experience we're looking for, provideing specific repository names or links to projects. This will help candidates stand out.
• Interview feedback : There were a large volume of candidates who were suspected of using AI assistance during their interview.
• Make sure to screen this out of candidates, and let them know that if AI assistance is suspected, they will be automatically disqualified.
• Main winning points of the candidate we offered were his knowledge of a wide variety model architectures and his experience with profiling tools and low-level kernel debugging.
• The winning candidate's resume showcased a good knowledge of GPU and distributed systems, as well as acceleration, and the candidate provided clear and detailed descriptions of past projects.
• Here's what we need : Knowledge of LLM architectures. Experience implementing ML pipelines, Pytorch proficiency, large-scale distributed GPU training, LLM finetuning.

Job Description : Systems / ML Engineer

Meta 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 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 Meta 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

Mandatory Skills

Pytorch Machine Learning Python