Post-Sales Machine Learning Solutions Engineer - EMEA Remote
- Machine learning
- Other places
- 08/28/2024
- -
At Hugging Face, we are on an exciting journey to revolutionize Machine Learning, making it more accessible and beneficial for all. We contribute significantly to the advancement of technology to make a positive impact.
We have developed the world's fastest-growing open-source library of pre-trained models, boasting over 1 million models and 320K+ stars on GitHub. Our technology is trusted by more than 15,000 companies, including top AI organizations like Google, Elastic, Salesforce, Grammarly, and NASA.
As an early member of Hugging Face's Success team, you'll play a pivotal role in helping leading companies successfully leverage AI. From advising data science teams on best practices for model building to writing Jupyter notebooks showcasing new techniques, your technical skills and passion for helping others are crucial. Your efforts will enable our sophisticated clients to unlock the full potential of AI.
We champion diversity and inclusion. We are committed to building a workplace where everyone feels respected and supported, regardless of background. Hugging Face is an equal opportunity employer committed to creating an inclusive environment for all.
We prioritize growth and development. Work alongside some of the smartest minds in the industry, with access to relevant conferences, training, and educational reimbursements.
We care about your well-being. Enjoy flexible working hours, remote work options, comprehensive health benefits, parental leave, and flexible paid time off.
We support remote employees. With office spaces in NYC and Paris, remote employees can visit the offices and receive the necessary workstation setup to succeed.
We offer equity to our team. All employees receive company equity, making everyone a shareholder in our success as a category-defining platform in machine learning and AI.
We contribute to the community. Join us in supporting the ML/AI community through collaboration and shared advancements in the field.