Community ML Research Engineer, non-AI scientific fields - US Remote
Hugging Face(3 months ago)
About this role
A Community ML Research Engineer in non-AI scientific fields collaborates on machine learning projects, supporting scientific research and community engagement. The role involves applying ML techniques to solve engineering problems and advancing scientific knowledge.
Required Skills
- Machine Learning
- Scientific Research
- Data Analysis
- Engineering
Qualifications
- Master's Degree
About Hugging Face
huggingface.coHugging Face is a leading AI community dedicated to advancing and democratizing artificial intelligence through open source and open science initiatives. The platform provides a suite of tools and libraries for natural language processing, enabling developers and organizations to build, share, and utilize machine learning models. Hugging Face aims to foster collaboration and innovation in AI research, making it accessible to a wider audience by offering resources such as models, datasets, and spaces for experimentation.
View more jobs at Hugging Face →Apply instantly with AI
Let ApplyBlast auto-apply to jobs like this for you. Save hours on applications and land your dream job faster.
More jobs at Hugging Face
Cloud Machine Learning Engineer - EMEA remote
Hugging Face(18 days ago)
Cloud Machine Learning Evangelist - EMEA remote
Hugging Face(18 days ago)
Cloud Machine Learning Evangelist - US remote
Hugging Face(19 days ago)
Senior Open-Source Machine Learning Engineer, Computer Vision - US Remote
Hugging Face(20 days ago)
Similar Jobs
AI/ML Engineer – Clinical AI
GSK plc(10 days ago)
Applied ML Researcher
Circonomit(25 days ago)
Scientific AI & ML Engineer
BRKZ(1 month ago)
Senior AI Engineer
Ignota Labs(19 days ago)
Research Science / Senior AI Machine Learning Research Engineer
02 CACI, INC.-FEDERAL(1 month ago)
Scientific AI and ML Engineer
BRKZ(1 month ago)