CVPR 2025 Career Opportunities

RI, Carnegie Mellon University, Pittsburgh

Description

Bath

Lecturer / Senior Lecturer

Department: Computer Science

Salary: Salary for a Lecturer (Grade 8) is £46,735 rising to £55,755 per annum. Salary for a Senior Lecturer (Grade 9) is £57,422 rising to £66,537 per annum

The Department of Computer Science wishes to appoint up to seven academics in Artificial Intelligence and Machine Learning.

About the role

You will work with colleagues, students and researchers to develop and publish papers. You will apply for research funding to support your ideas. You will find ways of making your research available to society.

You will design and deliver teaching materials for lectures, tutorials, and labs.

You will have a few internal roles to help the Department run smoothly.

The support and growth opportunities we provide

Training for an HEA fellowship qualification

New Lecturers will be enrolled into the Pathway to HEA Fellowship. Senior Lecturers will have the option to do so.

Mentoring

All of our staff are allocated a mentor when they join. Your mentor will support you in your day-to-day job and help you progress.

About you

Our ideal candidate for both Lecturer and Senior Lecturer positions will hold a PhD or equivalent in a relevant discipline, along with a UG degree or equivalent experience.

• You should demonstrate substantial research experience in your field, with an emerging track record for Lecturers and an established research profile with funding success for Senior Lecturers
• A deep conceptual understanding of their subject, alongside experience teaching at UG/PG levels, is essential
• Strong written, verbal, and interpersonal skills, along with the ability to form positive collaborations, are required
• Senior Lecturers should also exhibit academic leadership and a clear research vision. Both roles demand excellent organisational and administrative skills
• A commitment to excellence in research and teaching, student experience, and ethical professional conduct is essential

Project Summary:

Positron Emission Tomography (PET) is vital for diagnosing diseases like cancer, heart conditions, and neurological disorders. However, conventional PET/CT imaging exposes patients to radiation from tracers and CT scans. This Swiss National Science Foundation (SNSF)-funded project aims to address these challenges by creating data-driven models to enable high-quality, low-dose PET imaging, reducing radiation risks and enhancing accessibility without compromising diagnostic accuracy. This position focus on three main streams: - Denoising of Low-Dose PET Images: Developing models to reduce noise and enhance the quality of PET scans acquired at lower radiation doses. - CT-Free Attenuation Correction: Developing AI-driven techniques for PET imaging that eliminate the need for CT scans, reducing radiation exposure and associated costs. - Robust Image Reconstruction and Synthesis: Using deep learning to create high-quality PET and CT images from low-dose PET data to support accurate, non-invasive diagnostics. This work aims to advance personalized, non-invasive diagnostic techniques, making PET imaging safer and more accessible in clinical practice.

Position Details:

We are seeking a highly motivated PhD candidate to join our team in Switzerland, bringing a strong background in deep learning and a passion for medical imaging. The PhD candidate will play a central role in developing robust and generalizable AI methods to address key technical challenges in PET image reconstruction.

Key responsibilities include:

• Design and implement advanced denoising models for low-dose PET images, focusing on noise reduction while preserving diagnostic detail.
• Develop and validate CT-free attenuation correction techniques that enhance PET imaging without additional radiation exposure.
• Collaborate closely with interdisciplinary teams at the University of Cambridge, Tsinghua University, Lucerne University of Applied Sciences, and Luzerner Kantonsspital to integrate AI solutions into clinical practice.
• Contribute to top scientific publications and outreach activities.
• The project offers access to high-quality medical imaging datasets, a collaborative research environment, and guidance from academic and clinical experts in medical imaging and AI. The selected candidate will be employed for 48 months on the project.

Candidate Requirements:

• Master’s degree in Computer Science, Biomedical Engineering, or a related discipline.
• Strong background in deep learning with practical experience in medical imaging applications preferred.
• Proficiency in Python and machine learning frameworks such as PyTorch or TensorFlow.
• Excellent communication skills in English and an ability to work within international, multidisciplinary teams.
• An eagerness to contribute to impactful research in the field of medical diagnostics.

Benefits:

• Fully funded by the Swiss National Science Foundation (SNSF).
• The opportunity to work within an international research network and to contribute to the development of life-saving imaging technologies.
• Access to state-of-the-art datasets, resources, and facilities, fostering your growth in a supportive and collaborative environment.

Application Process:

Please submit your CV, a cover letter detailing your research experience and motivation, and contact information for two academic references. Applications will be reviewed on a rolling basis until the position is filled.

Contact Information:

For inquiries or to submit your application, please contact: Angelica Aviles-Rivero (aviles-rivero@tsinghua.edu.cn) and Javier Montoya (javier.montoya@hslu.ch)

Location USA, WA, Seattle

Description Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports – including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV+, Max, Crunchyroll and MGM+. All customers, regardless of whether they have a Prime membership or not, can rent or buy titles via the Prime Video Store, and can enjoy even more content for free with ads.

Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating best-in-class digital video experience.

As a Prime Video technologist, you’ll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You’ll get to work on projects that are fast-paced, challenging, and varied. You’ll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people.

We’ll look for you to bring your diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. With global opportunities for talented technologists, you can decide where a career Prime Video Tech takes you!

Location USA, WA, Seattle

Description Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports – including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV+, Max, Crunchyroll and MGM+. All customers, regardless of whether they have a Prime membership or not, can rent or buy titles via the Prime Video Store, and can enjoy even more content for free with ads.

Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating best-in-class digital video experience.

As a Prime Video team member, you’ll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You’ll get to work on projects that are fast-paced, challenging, and varied. You’ll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people.

We’ll look for you to bring your diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. With global opportunities for talented technologists, you can decide where a career Prime Video Tech takes you!

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.

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:
You will work collaboratively to improve our models and iterate on novel research directions, sometimes in just days. We're looking for talented engineers who'd enjoy applying their skills to deeply complex and novel AI problems. Here, you will:
- Apply and extend the Helm proprietary algorithmic toolkit for unsupervised learning and perception problems at scale
- Carefully execute development and maintenance of tools used for deep learning experiments designed to provide new functionality for customers or address relevant corner cases in the system as a whole
- Work closely with software and autonomous vehicle engineers to deploy algorithms on internal and customer vehicle platforms

You have:
- A sense of practical optimism: not all experiments are successful, but the ones that are more than make up for it!
- Comfort operating in a fast-paced environment to deliver customer projects
- Introspection, thoughtfulness, and detail-orientation
- Experience working with neural networks, Tensorflow and/or PyTorch - Fluency in Python and working knowledge of C/C++ programing
- A strong interest in unsupervised learning, computer vision, and/or the autonomous vehicle industry
- Master’s or Ph.D. in a related field and/or 5+ years of experience in a related field

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.

Location RI, Carnegie Mellon University, Pittsburgh, USA

Description

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.

We're looking for a Staff Software Engineer to join our growing team! At Helm.ai, expect a fast-paced environment; you will have significant influence over the company's business and the pace of technical innovation. You will work on cutting-edge technologies, solve complex engineering challenges, and contribute directly to shaping our products and the overall direction of the company. We need people who are organized, able to think on their feet, and can find creative solutions to challenging problems.

You will:
- Lead and Build: Architect and design scalable, reliable, and efficient ML infrastructure and services, enabling the company to handle large scale training, massive datasets, and a growing number of customers with diverse needs.
- Scale Systems: Ensure the ML platform is capable of handling large-scale data processing and machine learning model development at a global scale.
- Agility & Cost Efficiency: Optimize platform implementation for flexibility and cost-effectiveness while maintaining agility in development, enabling quick adaptation to evolving requirements.
- User-Centric Design: Build systems that are convenient, reliable, and easy to use for both internal teams (data scientists, engineers) and external customers.
- End-to-End Ownership: Take full ownership of the platform's lifecycle, from inception through design and implementation to deployment and monitoring.
- Collaboration: Work closely with cross-functional teams, including data science, product, and operations, to ensure seamless integration of ML capabilities into business-critical services.
- Innovation: Keep up with the latest industry trends and incorporate cutting-edge technologies into our platform to maintain a competitive edge.
- Problem-Solving: Tackle complex technical challenges head-on, from infrastructure optimization to providing solutions for data processing, storage, and access at scale.
- Mentorship: Lead and mentor engineers, fostering a culture of excellence and high-performance within the engineering team.

You have:
- Proven experience in building and scaling cloud-based infrastructure and services, particularly in machine learning or data-heavy environments.
- Expert knowledge of distributed systems, cloud platforms (AWS, GCP, Azure), and technologies like Kubernetes, Docker, and microservices architecture.
- Deep experience with building large scale services, and the challenges that come with performance, reliability, and cost at scale.
- Demonstrated ability to design and implement cost-effective solutions while balancing performance, security, and scalability.
- Solid background in machine learning concepts, e.g., model training and validation.
- Strong leadership and collaboration skills, with experience working in an agile development environment and mentoring high-performing teams.
- Ability to manage ambiguity and thrive in a fast-paced, evolving environment where priorities shift rapidly.
- Passionate problem solver with a focus on building practical, reliable, and efficient systems that can scale in real-world, production environments.

Hong Kong / Shanghai

OpenDriveLab (opendrivelab.com) focuses on Embodied AI and Autonomous Driving. Our aim is primarily to publish impactful works in top-tier conferences and journals. To internationals: The application process is identical to domestic recruitment. We treat all applicants equally regardless of race, region, beliefs, and other factors.

Our Works

• AgiBot World Colosseo: A Large-scale Manipulation Platform for Scalable and Intelligent Embodied Systems
• Planning-oriented Autonomous Driving (CVPR 2023 Best Paper Award)
• Learning Manipulation by Predicting Interaction (RSS 2024)
• Generalized Predictive Model for Autonomous Driving (CVPR 2024 Highlight)

Prospective Members

• Background knowledge in computer science, machine learning, robotics, physics, mathematics, or related fields
• Solid academic background and achievements
• Strong research experience with publications in top-tier conferences (CVPR / RSS / etc.) or journals (T-PAMI / IJRR / etc.)
• Excellent programming (python / C / etc.) and English skills
• Familiarity with tools such as PyTorch, OpenCV, ROS, Git, etc.
• Full commitment to research, capable of quickly learning from new fields
• Passion for impactful outputs, self-motivative, responsible, reliable, and with good communication skills

Our Support

• Access to advanced research resources like high-performance GPUs and robotic facilities
• Hands-on mentorship with clear direction
• Collaboration with other top researchers worldwide
• Excellent work atmosphere

Open Positions

Postdoc / Ph.D. student / Master student / Research assistant / Full-time employee / Intern on Embodied AI

Contact

If you’re interested, please drop us an email at contact@opendrivelab.com with the following information: - Subject: [Ph.D./Postdoc/RA/etc. Application] Name - Affiliation - Curriculum vitae