Research Scientist - Foundation Models
Cambridge, MA
Robotics and AI Institute
Welcome. At the Robotics and AI Institute (RAI Institute), our mission is to solve the most important and fundamental challenges in robotics and AI.
Our MissionOur mission is to solve the most important and fundamental challenges in AI and Robotics to enable future generations of intelligent machines that will help us all live better lives.
Foundation Model Research Scientists will have proven hands-on research or industry experience focusing on one or more of these key areas: Cognitive AI, Foundation Models, Large Language Models, and Distributed Training. If you are passionate about developing technology for robots and using it to advance their capabilities and usefulness, this team will be a great fit for you!
Do you have a passion for advancing large language and multi-modal models? Are you ready to bring groundbreaking research into real-world robotics applications? We’re looking for a highly skilled and innovative Foundation Model Research Scientist to join our team!
Foundation Model Research Scientists will have proven hands-on research or industry experience focusing on one or more of these key areas: Cognitive AI, Foundation Models, Large Language Models, and Distributed Training. If you are passionate about developing technology for robots and using it to advance their capabilities and usefulness, this team will be a great fit for you!
Do you have a passion for advancing large language and multi-modal models? Are you ready to bring groundbreaking research into real-world robotics applications? We’re looking for a highly skilled and innovative Foundation Model Research Scientist to join our team!
In this role you will:
- Develop deep learning methods to improve foundation models, taking them to the next level of real-world applications like robotic manipulation and high-level task planning.
- Design machine learning techniques to adapt these models to key domains and downstream tasks.
- Curate and construct datasets for large-scale learning, enhancing capabilities in human preference learning and specialized applications.
- Collaborate closely with our research team to build robotics demonstrations that showcase the power of your work.
Who we're looking for:
- Education: MS or PhD in a foundation-model-relevant field
- Experience: 7+ years in research & development
- Skills: Proficiency with large language and foundation models, model parallelism, and distributed training techniques
- Technical Fluency: Deep learning frameworks like PyTorch and expertise in Python or C++ for rapid prototyping
- Track Record: Published work in leading ML, Robotics, and AI conferences and journals (e.g., CVPR, ICCV, NIPS, ICLR)
Bonus points if you bring experience in:
- MLOps, DevOps, or IoT solutions
- Docker, Kubernetes, cloud computing, and orchestration workflows
- Big data processing tools like Hadoop, Spark, Kafka, and CUDA parallel programming
- This is a unique opportunity to work on cutting-edge foundation model research and bring meaningful advancements to robotics and AI. Let’s shape the future of intelligent systems together!
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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Categories:
Data Science Jobs
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Tags: Big Data CUDA Deep Learning DevOps Docker Hadoop ICLR Kafka Kubernetes LLMs Machine Learning MLOps PhD Prototyping Python PyTorch R&D Research Robotics Spark
Perks/benefits: Career development Conferences
Region:
North America
Country:
United States
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