Embodied AI Intern - Remote
New York City, United States - Remote
Applications have closed
Hugging Face
We’re on a journey to advance and democratize artificial intelligence through open source and open science.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 perceived by the field. We are looking to explore topics related to re-using computation in RL, scaling up RL models, large-scale imitation learning, training infrastructure, and more.
About you
You have a deep interest in conducting thorough research on a specific topic from the start to the end while working closely with the Hugging Face researcher. You have a passion for any topic related to Embodied AI: robotics, deep learning, reinforcement learning, synthetic data generation, environment design, and more.
Some of our requirements for this role:
- Working towards an MS or PhD degree in Computer Science or relevant field.
- Experience with PyTorch or any other major deep learning framework of choice.
- Experience with a domain(s) related to embodied learning: robotics, reinforcement learning, synthetic data generation, or another related field.
- Problem solving and good communication skills.
- Some experience with Hugging Face's tools and ecosystem.
If you're interested in joining us, but don't tick every box above, we still encourage you to apply! We're building a diverse team whose skills, experiences, and backgrounds complement one another. We're happy to consider where you might be able to make the biggest impact.
More about Hugging Face
We are actively working to build a culture that values diversity, equity, and inclusivity. We are intentionally building a workplace where people feel respected and supported—regardless of who you are or where you come from. We believe this is foundational to building a great company and community. Hugging Face is an equal opportunity employer and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
We value development. You will work with some of the smartest people in our industry. We are an organization that has a bias for impact and is always challenging ourselves to grow continuously. We provide all employees with reimbursement for relevant conferences, training, and education.
We care about your well-being. We offer flexible working hours and remote options. While we have office spaces in NYC and Paris, we're very distributed and all remote employees can visit our offices. If needed, we'll also outfit your workstation to ensure you succeed.
We support the community. We believe major scientific advancements are the result of collaboration across the field. Join a community supporting the ML/AI community.
Compensation
The salary range depends on the location from which you will do your internship. The annual salary for Paris-based internships is 35k€ gross. The annual salary for NYC-based internships is $50k gross. For all other locations and remote internships, the salary will be adjusted to the cost of living.
Tags: Architecture Computer Science Deep Learning GitHub HuggingFace Machine Learning PhD PyTorch Research Robotics
Perks/benefits: Conferences Equity Flex hours Startup environment Team events
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