Location USA, WA, Seattle

Description As part of the AWS Solutions organization, we have a vision to provide business applications, leveraging Amazon’s unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers’ businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon’s real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use.

Are you excited about developing state-of-the-art Deep Learning, Computer Vision and GenAI models using large data sets to solve real world problems? Do you have proven analytical capabilities and can multi-task and thrive in a fast-paced environment? You enjoy the prospect of solving real-world problems that, quite frankly, have not been solved at scale anywhere before. Along the way, you’ll get opportunities to be a fearless disruptor, prolific innovator, and a reputed problem solver—someone who truly enables machine learning to create significant impacts.

We're seeking a Principal Applied Scientist with the ability to apply deep learning and generative AI techniques to conceptualize, promote, and execute cutting-edge solutions for previously unsolved challenges. As an Applied Scientist at Amazon One, you will bring AI advancements to build foundational models for customer-facing identity/biometrics solutions in complex industrial settings. You will be working in a fast-paced, cross-disciplinary team of researchers who are leaders in the field. You will take on challenging problems, distill real requirements, and then deliver solutions that either leverage existing academic and industrial research, or utilize your own out-of-the-box pragmatic thinking. In addition to coming up with novel solutions and prototypes, you may even need to deliver these to production in customer facing products.

Carnegie Mellon University, Pittsburgh

Description

Location USA, WA, Seattle USA, CA, San Francisco

Description Join the next revolution in robotics at Amazon's Frontier AI & Robotics team, where you'll work alongside world-renowned AI pioneers to lead key initiatives in robotic intelligence. As a Principal Applied Scientist, you'll spearhead the development of breakthrough foundation models that enable robots to perceive, understand, and interact with the world in unprecedented ways. You'll drive technical excellence in areas such as perception, manipulation, science understanding, sim2real transfer, multi-modal foundation models, and multi-task learning, designing novel algorithms that bridge the gap between state-of-the-art research and real-world deployment at Amazon scale.

In this role, you'll combine hands-on technical work with scientific leadership, ensuring your team delivers robust solutions for dynamic real-world environments. You'll leverage Amazon's vast computational resources to tackle ambitious problems in areas like very large multi-modal robotic foundation models and efficient, promptable model architectures that can scale across diverse robotic applications.

Carnegie Mellon University, Pittsburgh

Location USA, WA, Seattle USA, VA, Arlington USA, NY, New York

Description Our team drives innovation for the onsite retail shopping site publisher. We collaborate and influence the advertising science community at Amazon across the entire Ads stack— sourcing and ranking ads, bidding into and pricing in the ads auction, experimentation design to measure causal impact of showing ads on shoppers and Amazon vendors, creative development with GenAI, and more. If you’re interested in joining a unique, highly respected advertising group with a relentless focus on the customer, you’ve come to the right place. As we continue building to out our team, we are looking for a Principal Applied Scientist, to lead research, design, experiment and implementation of cutting edge algorithms for complex Stores Display publisher use cases. You will collaborate with Amazon demand programs and front-end teams to influence how the entire advertising stack works end-to-end. You will work with business and finance teams to design experiments that inform tradeoffs across advertiser and shopper goals. You will work collaboratively with software engineers, data engineers, and other scientists on the team to deploy production algorithms that support the billions of ad auctions run daily and set a high bar for science and engineering excellence. This is a rare opportunity to be a foundational member with huge potential for impact and innovating new user experiences at Amazon.

University of Surrey, Guildford, UK

The sharing of data assets is a major administrative challenge, often causing a roadblock to collaboration and research. This is especially true in sensitive domains like the Nuclear sector, where researchers can struggle to find the data needed to train machine learning models.

This project will develop an AI-driven “secure-by-design” approach to dataset privatisation and distillation, enabling the sharing data assets within the NDA estate, as well as other agencies and academic partners. To achieve this, a framework will be developed that can run on the NDA secure infrastructure, to create a purely synthetic dataset that both obfuscates and compresses while remaining as true as possible to the sensitive historical data.

Academic Institution

This is an opportunity to join the Centre for Vision, Speech and Signal Processing at the University of Surrey. This is the largest such UK institute, and is ranked 1st for Computer vision research in the UK and 3rd in Europe (csrankings.org). The supervisory team includes award winning and world renowned academics, with the applicant joining a large and tightly knit research team of 10+ peers working on various related topics (http://personalpages.surrey.ac.uk/s.hadfield/).

Industrial Sponsorship and Research Impact

This project is funded by the Nuclear Decommissioning Authority (https://ndagroup.careers/about-the-nda-group/). NDA are a government organisation broadly responsible for the safe and sustainable management of historical nuclear sites and materials. This studentship is an ideal opportunity to start-up a career in this important, innovative and growing sector. The project plan includes two separate funded internships, deploying research solutions at sites within the NDA estate, as well as numerous outreach and scale-up activities. This is designed to ensure that the student sees real-world impact from the developments during their PhD studies, and to put them in the best possible position to transfer their research skills into industry after the studentship.

Lecturer/ Senior Lecturer

The Department of Computer Science at the University of Bath invites applications for up to seven faculty positions at various ranks from candidates who are passionate about research and teaching in artificial intelligence and machine learning. These are permanent positions with no tenure process. The start date is flexible.

The University of Bath is based on an attractive, single-site campus that facilitates interdisciplinary research. It is located on the edge of the World Heritage City of Bath and offers the lifestyle advantages of working and living in one of the most beautiful areas in the United Kingdom. 

For more information and to apply, please visit: https://www.bath.ac.uk/campaigns/join-the-department-of-computer-science/

NVIDIA is searching for a world-class Research Scientist to join our growing Spatial Intelligence research team. The ideal candidate will be conducting cutting-edge research at the intersection of Machine Learning, Computer Vision and Computer Graphics, and working alongside top experts in these fields. With incredible resources in AI, graphics and robotics, you will be able to impact, contribute and advance these exciting domains. Topics include but are not limited to AI for simulation, 3D Deep Learning, DL for animation, content generation, transfer learning, domain adaptation, computer vision, and medical imaging. With its unique open culture, NVIDIA is one of the best industry labs to do AI research.

What you will be doing:

• Apply deep learning techniques to the simulation of complex physical phenomena such as fluid dynamics, fracture of materials, combustion, audio synthesis and propagation, and more.
• Work on improving realism and immersive qualities of VR environments and interactions, including intelligent characters, behavior of crowds and traffic, and human-machine interface problems.
• Participate in numerous projects to conduct Deep Learning research and publish papers to well known conferences (ex. ICCV)
• Product development for technology in Games, Virtual Reality, Education and other applications.

What we need to see:

• PhD or equivalent experience in Computer Science or a related field.
• Expertise in computer graphics, simulation or game development.
• In depth experience with C++/C, CUDA, DX, or OpenGL.
• Dedication to producing high quality and creative results in a collaborative environment.

Ways to stand out from the crowd:

• Skills in efficient model architectures and efficient implementations.
• Sharp mathematics skills.

Image recognition and speech recognition — GPU deep learning has provided the foundation for machines to learn, perceive, reason and solve problems. The GPU started out as the engine for simulating human imagination, conjuring up the amazing

University of Surrey, Guildford, UK

Warehouses represent complex, dynamic environments requiring efficient navigation and task execution by autonomous robots, with minimal downtime and human intervention. Modern SLAM (Simultaneous Localization and Mapping) techniques can provide a robust mapping of the warehouse itself. However, there are also a huge number of dynamically interacting entities (including other robots, human operators, vehicles, etc). This, coupled with significant variations across regions and customer requirements, can lead to complex emergent situations at deployment that were not considered during development. This project seeks to address these challenges by developing flexible generative world models which are capable of rapidly simulating diverse warehouse environments using varying sensor loadouts and metadata.

By leveraging generative diffusion models, multimodal generative models, and large language models, the project will create adaptive, scalable world models that can simulate and predict warehouse dynamics. This enables robots to train, test, and adapt in virtual environments before deployment, significantly reducing real-world testing requirements and robustness. This digital twinning capability also makes it possible to safely test resilience to rare emergency scenarios, such as hardware failures or human obstacles.

Academic Institution

This is an opportunity to join the Centre for Vision, Speech and Signal Processing at the University of Surrey. This is the largest such UK institute, and is ranked 1st for Computer vision research in the UK and 3rd in Europe (csrankings.org). The supervisory team includes award-winning and world-renowned academics, with the applicant joining a large and tightly knit research team of 10+ peers working on various related topics (http://personalpages.surrey.ac.uk/s.hadfield/).

Industrial Sponsorship and Research Impact

This project is funded at a 50% rate by Locus Robotics. Locus are world-leaders in Warehouse Automation. They have a fleet of more than 50,000 active robots in daily operation around the world, and supply warehouse logistics systems for more than 50 internationally recognisable customers including DHL, UPS and Boots. In addition to funding studentship costs, Locus are also providing access to their hardware, warehouses, and engineer time to support the project. There is also an opportunity to undertake a paid internship in industry, helping build impact for your research activities and getting real-world research experience.

Eligibility criteria Open to any UK or international candidates. Up to 30% of our UKRI funded studentships can be awarded to candidates paying international rate fees.

You will need to meet the minimum entry requirements for our PhD programme.

Research Intern – Humanoid Robot Foundation Models (GEAR Group)

NVIDIA is searching for an outstanding research intern to build humanoid robot foundation models and systems in the Generalist Embodied Agent Research (GEAR) group.

Everything that moves will eventually be autonomous. Our mission is to build general-purpose embodied agents that learn to explore and master complex skills across the virtual and the physical world.

You will join a collaborative research team known for influential work on multimodal foundation models, large-scale robot learning, game AI, and physical simulation. Past projects include Eureka, VIMA, Voyager, MineDojo, MimicPlay, Prismer, and more. One of our latest milestones is Project GR00T, a foundation model for humanoid robots. Your contributions will significantly impact our moonshot research projects and product roadmaps.

What You Will Be Doing

• Design and implement novel AI algorithms and models for general-purpose humanoid robots and embodied agents
• Develop large-scale AI training and inference methods for foundation models
• Optimize and deploy AI models in physical simulation and on robot hardware
• Collaborate with research and engineering teams across NVIDIA to transfer research to products and services

What We Need to See

• Pursuing a PhD in Computer Science/Engineering, Electrical Engineering, or related field
• Outstanding engineering skills in rapid prototyping and model training frameworks (PyTorch, Jax, Tensorflow, etc.)
  • Python required; C++ and CUDA are a plus
• Excellent experience with large-scale machine learning/AI systems and computer infrastructure
• Experience with at least one of the following:
  • Multimodal Foundation Models
    • Hands-on training experience and publications in at least one: LLMs, vision-language models, video generative models, diffusion models, action-based transformers
  • Robotics
    • Hands-on training experience and publications in robot learning (reinforcement learning, imitation learning, classical control, etc.)
    • Deep understanding of robot kinematics, dynamics, and sensors
    • Ability to safely operate robot hardware, lab equipment, and tools
    • Knowledge of control methods (PID, MPC, whole body control, etc.)
    • Familiarity with physics simulation frameworks (Mujoco, Isaac suite)

Why NVIDIA?

NVIDIA is widely considered one of the technology world's most desirable employers. We have some of the most forward-thinking and productive people in the world. Join us and be part of the forefront of developing general-purpose robots and embodied agents!

Compensation & Benefits

• Hourly rate: $30 –$90 USD (based on position, location, year in school, degree, and experience)
• Intern benefits: Eligible

NVIDIA accepts applications on an ongoing basis.

Commitment to Diversity

NVIDIA is committed to fostering a diverse work environment and is proud to be an equal opportunity employer. We highly value diversity and do not discriminate (including in hiring and promotion) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.