7 jobs found in new york

Here at Hugging Face, we’re on a journey to advance good Machine Learning and make it more accessible. Along the way, we contribute to the development of technology for the better. We have built the fastest-growing, open-source, library of pre-trained models in the world. With over 100M+ installs and 65K+ stars on GitHub, over 10 thousand companies are using HF technology in production, including leading AI organizations such as Google, Elastic, Salesforce, Algolia, and Grammarly. About the Role As an open-source Machine Learning Engineer, you will work to improve the open-source machine learning ecosystem. You will mainly work with existing open-source libraries, such as Transformers, Datasets, or Accelerate, and you will interact with users and contributors of the broad open-source machine learning ecosystem. We'll brainstorm with you to put you in a position to do the work that interests you and that is impactful. You'll get to foster one of the most active machine...

Here at Hugging Face, we’re on a journey to advance and democratize ML for everyone. Along the way, we contribute to the development of technology for the better. About the Role Since the launch of Hugging Face, we have experienced healthy growth and steady market demand. Our solutions are already used by +5000 users and +300 paid customers. As an Account Executive, you’ll play a key role in building our portfolio of customers and driving our success. You’ll be responsible for the entire sales cycle, while being able to leverage company resources, to reach a successful collaboration with our prospects and customers. About you You'll love working here if you have a passion for new technologies and data. You are excellent at building deep relationships with prospects and customers. What matters to you is helping them build their Data strategy and find the right solutions. You have experience closing deals selling open source and/or machine learning, data or infrastructure...

Here at Hugging Face, we’re on a journey to advance good Machine Learning and make it more accessible. Along the way, we contribute to the development of technology for the better. We have built the fastest-growing, open-source, library of pre-trained models in the world. With over 100M+ installs and 70K+ stars on GitHub, over 10 thousand companies are using HF technology in production, including leading AI organizations such as Google, Elastic, Salesforce, Algolia, and Grammarly. About the Role As an embodied research intern, you will work closely with the researchers at HuggingFace in the embodied AI team. From developing prototypes, to creating and monitoring experiments for designing new novel machine learning architectures, you will experience all cycles of typical industry research while executing a research agenda from start to finish. This role is particularly well suited for someone who is looking to do research or build tools that will change how embodied AI is...

Here at Hugging Face, we’re on a journey to advance good Machine Learning and make it more accessible. Along the way, we contribute to the development of technology for the better. About the Role As a Business Development Representative your role will be to identify and qualify new sales opportunities to grow Hugging Face in the US market. You'll act as the liaison between our Sales and Marketing teams. You will use your communication skills to cultivate strong relationships with our prospects and customers. In this role, you will be researching, prospecting, cold calling, and engaging engineering and product leaders at SaaS companies. You will work with the Account Executive team to identify new opportunities and set qualified meetings with decision-makers. You will discover new leads through internet research, social media monitoring/messaging, and by utilizing tools such as LinkedIn Sales Navigator, Twitter, and Github. Lastly, you'll Respond to inbound customer...

Here at Hugging Face, we’re on a journey to advance good Machine Learning and make it more accessible. Along the way, we contribute to the development of technology for the better. We raised our Series C in May 2022 and are quickly growing our global team. We've gone from 30 team members early this year to 70 in November; we’re aiming for 100 in early 2022 and 200 by year-end. Our offices are in NYC and Paris but we have teammates worldwide. As a fast-growing early-stage startup, we are looking for team players with a generalist mindset and strong domain expertise to help us build the category-defining platform for ML. What you’ll be doing As our VP of People, you will be integral in building the foundation of our global HR function and have a key role in supporting the company as we scale. You will directly shape our culture and drive the growth, development, and retention of Hugging Face’s outstanding global team. You will own our end-to-end employee experience globally,...

Here at Hugging Face, we’re on a journey to advance good Machine Learning and make it more accessible. Along the way, we contribute to technology development for the better. We raised our Series C with Sequoia and Coatue in May 2022 and are quickly growing our global team. We have been covered in dozens of publications and are now looking for our first full-time public relations team member. Essential Skills: Can communicate technical and complex concepts simply Ability to work under tight deadlines and is flexible with change-of-plans Comfortable jumping into other team’s internal workflows Confident communicator and presenter Ability to work independently Excellent verbal and written communication skills Highly analytical with solid problem-solving skills Roles & Responsibilities: Understand foundational media needs and maintain excellent relationships with media professionals Pitch stories to the media Prepare embargos and media kits as...

Here at Hugging Face, we’re on a journey to advance good Machine Learning and make it more accessible. Along the way, we contribute to the development of technology for the better. We have built the fastest-growing, open-source, library of pre-trained models in the world. With over 100M+ installs and 65K+ stars on GitHub, over 10 thousand companies are using HF technology in production, including leading AI organizations such as Google, Elastic, Salesforce, Algolia, and Grammarly. About the Role As a Machine learning engineer, you will work mainly with existing open-source libraries, such as Transformers and Accelerate to boost the support for all the new advances in model training and fine-tuning such as DeepSpeed, fairscale, and all forms of model parallelism. You'll get to foster one of the most active machine learning communities, helping users contribute to and use the tools that you build. You'll interact with Researchers, ML practitioners, and data scientists on a...