Mindlance
Remote role, ideally EST, buy anywhere in NORAM works.
Max BR of Hourly
5-10 years of experience.
Computer Science / Engineering degree.
Additional headcount for 64292-1. See notes on the old request:
Resume feedback: The resumes were more focused 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 were looking for, providing specific repository names or links to projects. This will help candidates stand out.
Interview feedback: There were a large volume of candidates suspected of using AI assistance during their interview. Make sure to screen this out of candidates, and inform them 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 of model architectures and his experience with profiling tools and low-level kernel debugging. The winning candidates resume showcased good knowledge of GPU and distributed systems, as well as acceleration, with clear and detailed descriptions of past projects.
What distinguishes an ML app engineer (what we don't want to see) versus what we're looking for? A key difference is if they are building applications and just connecting models into a UI doing large-scale model training or fine-tuning. The latter is what we are looking for; both seem to fall under the same profile currently.
Heres 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, focused on making research breakthroughs in AI. Responsibilities include developing deep learning libraries for large-scale distributed training, open sourcing high-quality code and reproducible results, and integrating research into Meta products to connect billions of users. The candidate will collaborate with a diverse team of scientists, engineers, and cross-functional partners, with access to cutting-edge technology and facilities. Responsibilities
Engineer, design, implement, and improve highly scalable machine learning systems and tools for research. Apply domain knowledge and 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 ML algorithms or infrastructure in Python or C/C++. Preferred Qualifications
Contributions to open-source projects (e.g., GitHub). Experience in open-source development. Reason for request: New position. Flexible hours, totaling 40 hours/week. Top 3 Skill Sets:
Pytorch Machine Learning Python Top 3 Nice to Have:
Building Open Source Libraries for ML Distributed training for ML models ML research and publishing papers Python backends and APIs Software design and development Equal Opportunity Employer statement and fair chance considerations included. #J-18808-Ljbffr
Meta is seeking a strong System / Machine Learning Engineer to join our Fundamental AI Research (FAIR) team, focused on making research breakthroughs in AI. Responsibilities include developing deep learning libraries for large-scale distributed training, open sourcing high-quality code and reproducible results, and integrating research into Meta products to connect billions of users. The candidate will collaborate with a diverse team of scientists, engineers, and cross-functional partners, with access to cutting-edge technology and facilities. Responsibilities
Engineer, design, implement, and improve highly scalable machine learning systems and tools for research. Apply domain knowledge and 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 ML algorithms or infrastructure in Python or C/C++. Preferred Qualifications
Contributions to open-source projects (e.g., GitHub). Experience in open-source development. Reason for request: New position. Flexible hours, totaling 40 hours/week. Top 3 Skill Sets:
Pytorch Machine Learning Python Top 3 Nice to Have:
Building Open Source Libraries for ML Distributed training for ML models ML research and publishing papers Python backends and APIs Software design and development Equal Opportunity Employer statement and fair chance considerations included. #J-18808-Ljbffr