Location USA, WA, Seattle USA, NY, New York USA, CA, Palo Alto

Description In Demand Tech, we're revolutionizing digital advertising. Our products deliver on Amazon.com and beyond to TV, Twitch, and third-party websites. We bring advertising to brands of all sizes with rich creative experiences (images, video, text) and brand-first advertising goals.

The Response Prediction team sits at the heart of this mission. We build deep-learning models to predict consumer responses to ads that serve internet-scale traffic. Our goal is to accurately predict shopper responses to ads across a variety of devices, contexts, and marketplaces. By meticulously analyzing shopper interactions and their value, we enable the most effective ad allocation and pricing strategies, crafting advertisements that are not only relevant and engaging but also enrich the shopping experience.

Amidst rapid growth and evolving challenges, Demand Tech seeks a Principal Scientist with a deep passion for data, innovation, and the drive to explore new frontiers. This role is perfect for a leader capable of inspiring our team, pioneering deeply technical strategies, and playing a crucial role in crafting world-class advertising solutions. If you're ready to lead in a culture that prioritizes experimentation, teamwork, and ownership, join us. Together, we'll lead the advancement of brand advertising, pushing boundaries to ensure our continued success and growth.

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/

RI, 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.

Redwood City, CA

We help make autonomous technologies more efficient, safer, and accessible.

Helm.ai builds AI software for autonomous driving and robotics. Our Deep Teaching™ methodology is uniquely data and capital efficient, allowing us to surpass traditional approaches. Our unsupervised learning software can train neural networks without the need for human annotation or simulation and is hardware-agnostic. We work with some of the world's largest automotive manufacturers and we've raised over $100M from Honda, Goodyear Ventures, Mando, and others to help us scale.

Our team is made up of people with a diverse set of experiences in software and academia. We work together towards one common goal: to integrate the software you'll help us build into hundreds of millions of vehicles.

You will:

Join a pioneering team that's redefining autonomous vehicle development through the power of unsupervised learning. At Helm, we've established ourselves as industry leaders by successfully developing OEM-grade perception models using an AI-first approach. Now, we're embarking on an ambitious new chapter: developing a comprehensive ML centric autonomous vehicle stack for urban environments.

As a member of our AV Controls team, you'll be at the center of our autonomous driving initiative—spearheading vehicle control systems while collaborating closely with our perception and planning teams to create a cohesive, state-of-the-art AV stack. While trajectory tracking and execution are core responsibilities, you'll have the opportunity to influence and contribute across the entire autonomous driving pipeline. This is a unique opportunity to shape the future of autonomous driving alongside a proven team that combines deep technical expertise with cutting-edge AI methodologies.

Main Responsibilities:
- Partner with perception and planning teams to architect, build, and test an AI-first autonomous driving platform for urban environments
- Design and implement robust vehicle control systems for trajectory tracking and execution, with a focus on real-time performance and reliability
- Develop and validate vehicle dynamics models through system identification and data analysis, driving continuous improvement in control system performance
- Create and execute comprehensive validation strategies across simulation and real-world testing environments

You have:
- 4+ years of hands-on experience developing vehicle control systems in the autonomous vehicle or ADAS industry
- Demonstrated expertise implementing real-time optimal control strategies (MPC or iLQR) for vehicle trajectory tracking, with proven on-vehicle implementation experience
- Experience addressing real-world controls challenges, including sensor noise, system latencies, and state estimation uncertainty
- Track record of developing and validating vehicle dynamics models through system identification and data-driven approaches
- Strong theoretical foundation in control theory, optimization, and vehicle dynamics, with practical application experience

We offer:
- Competitive health insurance options - 401K plan management - Remote-friendly and flexible team culture
- Free lunch and fully-stocked kitchen in our South Bay office
- Additional perks: monthly wellness stipend, office set up allowance, company retreats, and more to come as we scale
- The opportunity to work on one of the most interesting, impactful problems of the decade

Helm.ai is proud to be an equal opportunity employer building a diverse and inclusive workforce. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

Remote

We help make autonomous technologies more efficient, safer, and accessible.

Helm.ai builds AI software for autonomous driving and robotics. Our Deep Teaching™ methodology is uniquely data and capital efficient, allowing us to surpass traditional approaches. Our unsupervised learning software can train neural networks without the need for human annotation or simulation and is hardware-agnostic. We work with some of the world's largest automotive manufacturers and we've raised over $100M from Honda, Goodyear Ventures, Mando, and others to help us scale.

Our team is made up of people with a diverse set of experiences in software and academia. We work together towards one common goal: to integrate the software you'll help us build into hundreds of millions of vehicles.

You will collaborate with research engineers to build infrastructure to perform research operations and automate the training and optimization of ML models for real-time inference in computer vision applications.

Specifically, you will:
- Write frameworks with flexible and modular components to quickly prototype trainings and implement new cutting-edge research ideas
- Build robust and fault-tolerant ML pipelines for running inference on large image and video datasets
- Leverage your knowledge of deep learning frameworks to optimize trainings in terms of GPU utilization, memory, speed, and accuracy
- Design and implement APIs to automate the training and validation of a wide range of ML models for specialized use cases

You have:
- 5+ years of experience in a directly related field
- Experience with tensorflow/pytorch, Jax, or related deep learning framework
- Experience building distributed, scalable software as a service
- Proficiency in Python
- Proven ability to thrive in a fast-paced environment
- Ability to communicate complex technical concepts to a variety of audiences
- Introspection, thoughtfulness, and detail-orientation

The following are a plus but not required:
- Master or Ph.D. in Math, Computer Science or a related field
- Experience in learning and implementing techniques from research papers
- Computer vision experience

We offer:
- Competitive health insurance options
- 401K plan management
- Remote-friendly and flexible team culture
- Free lunch and fully-stocked kitchen in our South Bay office
- Additional perks: monthly wellness stipend, office set up allowance, company retreats, and more to come as we scale
- The opportunity to work on one of the most interesting, impactful problems of the decade

Helm.ai is proud to be an equal opportunity employer building a diverse and inclusive workforce. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

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.