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CVPR 2024 Career Website

The CVPR 2024 conference is not accepting applications to post at this time.

Here we highlight career opportunities submitted by our Exhibitors, and other top industry, academic, and non-profit leaders. We would like to thank each of our exhibitors for supporting CVPR 2024. Opportunities can be sorted by job category, location, and filtered by any other field using the search box. For information on how to post an opportunity, please visit the help page, linked in the navigation bar above.

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About the role You will join a team of 40+ Researchers and Engineers within the R&D Department working on cutting edge challenges in the Generative AI space, with a focus on creating highly realistic, emotional and life-like Synthetic humans through text-to-video. Within the team you’ll have the opportunity to work with different research teams and squads across multiple areas led by our Director of Science, Prof. Vittorio Ferrari, and directly impact our solutions that are used worldwide by over 55,000 businesses.

If you have seen the full ML lifecycle from ideation through implementation, testing and release, and you have a passion for large data, large model training and building solutions with clean code, this is your chance. This is an opportunity to work for a company that is impacting businesses at a rapid pace across the globe.


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※Location※ South Korea, Uiwang


※Description※ 1) AI Perception - RGB image based object/scene reconstruction (Nerf, GS, LRM) - Object detection / analysi - Image-Text multimodal model

2) Manipulation Vision - Development of vision-based Bimanual Manipulation using deep learning technology

3) On-Device AI - Development of lightweight deep learning model and on-device AI optimization technology

4) Mobile robot SLAM- Development of algorithms for Perception, SLAM, Motion control and Path planning


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Location Bellevue, WA


Description Are you excited about developing generative AI and foundation models to revolutionize automation, robotics and computer vision? Are you looking for opportunities to build and deploy them on real problems at truly vast scale? At Amazon Fulfillment Technologies and Robotics we are on a mission to build high-performance autonomous systems that perceive and act to further improve our world-class customer experience - at Amazon scale.

This role is for the AFT AI team which has deep expertise developing cutting edge AI solutions at scale and successfully applying them to business problems in the Amazon Fulfillment Network. These solutions typically utilize machine learning and computer vision techniques, applied to text, sequences of events, images or video from existing or new hardware. The team is comprised of scientists, who develop machine learning and computer vision solutions, analytics, who evaluate the expected business impact for a project and the performance of these solutions, and software engineers, who provide necessary support such as annotation pipelines and machine learning library development.

We are looking for an Applied Scientist with expertise in computer vision. You will work alongside other CV scientists, engineers, product managers and various stakeholders to deploy vision models at scale across a diverse set of initiatives. If you are a self-motivated individual with a zeal for customer obsession and ownership, and are passionate about applying computer vision for real world problems - this is the team for you.


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Location Mountain View, CA


Description Gatik is thrilled to be at CVPR! Come meet our team at booth 1831 to talk about how you could make an impact at the autonomous middle mile logistics company redefining the transportation landscape.

Who we are: Gatik, the leader in autonomous middle mile logistics, delivers goods safely and efficiently using its fleet of light & medium-duty trucks. The company focuses on short-haul, B2B logistics for Fortune 500 customers including Kroger, Walmart, Tyson Foods, Loblaw, Pitney Bowes, Georgia-Pacific, and KBX; enabling them to optimize their hub-and-spoke supply chain operations, enhance service levels and product flow across multiple locations while reducing labor costs and meeting an unprecedented expectation for faster deliveries. Gatik’s Class 3-7 autonomous box trucks are commercially deployed in multiple markets including Texas, Arkansas, and Ontario, Canada.

About the role: We are seeking passionate Senior/Staff Software Engineers, who have strong fundamentals in software development practices and are experts in C++ language in production-oriented environment. The ideal candidate is a highly experienced C++ developer with a passion for enabling the world's first safe, reliable & efficient network of autonomous vehicles. You will partner with the research and software engineers to design, develop, test and validate AV features for our autonomous fleet.

This role will be onsite at our Mountain View office.

What you'll do: +Design, implement, integrate, and support real-time mission-critical software for the Gatik’s autonomy stack +Work with the research engineers to develop maintainable, testable and robust software designs +Architect and implement solutions to complex issues between components partitioned across the large software stack +Be at the forefront of guiding & ensuring best SDLC practices while contributing to improving the safety in the core autonomy stack +Collaborate with the Infrastructure and DevOps teams for efficient, secure and scalable software delivery to a network of Gatik’s autonomous fleet
+Guide and mentor autonomy researchers and algorithm developers to make sure their components are running efficiently and with optimal compute and memory usage +Review and refine technical requirements and translate them into high-level design & plans to support the development of safe AV technology +Conduct code and design reviews and advise on technical matters

Click the apply button below to see the full job description and apply


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Location San Diego


Description

Artificial Intelligence is changing the world for the benefit of human beings and societies. QUALCOMM, as the world's leading mobile computing platform provider, is committed to enable the wide deployment of intelligent solutions on all possible devices – like smart phones, autonomous vehicles, robotics and IOT devices. Qualcomm is creating building blocks for the intelligent edge.

We are part of Qualcomm AI Research, and we focus on advancing Edge AI machine learning technology – including model fine tuning, hardware acceleration, model quantization, model compression, network architecture search (NAS), edge inference and related fields. Come join us on this exciting journey. In this particular role, you will work in a dynamic research environment, be part of a multi-disciplinary team of researchers and software engineers who work with cutting edge AI frameworks and tools. You will architect, design, develop, test, and deploy on- and off-device benchmarking workflows for model zoos.

Minimum Qualifications: • Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. OR Master's degree in Computer Science, Engineering, Information Systems, or related field and 3+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. OR PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.The successful applicant should have a strong theoretical background and proven hands-on experience with AI as modern software-, web-, and cloud-engineering.

Must have experience and skills: Strong theoretical background in AI and general ML techniques Proven hands-on experience with model training, inference, and evaluation. Proven hands-on experience with PyTorch, ONNX, TensorFlow, CUDA, and others. Experience developing data pipelines for ML/AI training and inferencing in the cloud. Prior experience in deploying containerized (web-) applications to IAAS environments such as AWS (preferred), Azure or GCP, backed by Dev-Ops and CI/CD technologies. Strong Linux command line skills. Strong experience with Docker and Git. Strong general analytical and debugging skills. Prior experience working in agile environments. Prior experience in collaborating with multi-disciplinary teams across time zones. Strong team player, communicator, presenter, mentor, and teacher. Preferred extra experience and skills: Prior experience with model quantization, profiling and running models on edge devices. Prior experience in developing full stack web applications using frameworks such as Ruby-on-Rails (preferred), Django, Phoenix/Elixir, Spring, Node.js or others. Knowledge of relational database design and optimization, hands on experience with running Postgres (preferred), MySQL or other relational databases in production Preferred qualifications: Bachelor's, Master's and/or PhD degree in Computer Science, Engineering, Information Systems, or related field and 2-5 years of work experience in Software Engineering, Systems Engineering, Hardware Engineering or related.


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Location Seattle, WA


Description Futures Design is the advanced concept design and incubation team within Amazon’s Device and Services Design Group (DDG). We are responsible for exploring and defining think (very) big opportunities globally and locally — so that we can better understand how new products and services might enrich the lives of our customers and so that product teams and leaders can align on where we're going and why we're going there. We focus on a 3–10+ year time frame, with the runway to invent and design category-defining products and transformational customer experiences. Working with Amazon business and technology partners, we use research, design, and prototyping to guide early product development, bring greater clarity to engineering goals, and develop a UX-grounded point of view.

We're looking for a Principal Design Technologist to join the growing DDG Futures Design team. You thrive in ambiguity and paradigm shifts– remaking assumptions of how customers engage, devices operate, and builders create. You apply deep expertise that spans design, technology, and product, grounding state-of-the-art emerging technologies through storytelling and a maker mindset. You learn and adapt technology trends to enduring customer problems through customer empathy, code, and iterative experimentation.

You will wear multiple hats to quickly assimilate customer problems, convert them to hypotheses, and test them using efficient technologies and design methods to build stakeholder buy-in. You’ll help your peers unlock challenging scenarios and mature the design studio’s ability to deliver design at scale across a breadth of devices and interaction modalities. You will work around limitations and push capabilities through your work. Your curiosity will inspire those around you and facilitate team growth, while your hands-on, collaborative nature will build trust with your peers and studio partners.


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Location Sunnyvale, CA Bellevue, WA Seattle, WA


Description The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Applied Science Manager with a strong deep learning background, to lead the development of industry-leading technology with multimodal systems.

As an Applied Science Manager with the AGI team, you will lead the development of novel algorithms and modeling techniques to advance the state of the art with multimodal systems. Your work will directly impact our customers in the form of products and services that make use of vision and language technology. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate development with multimodal Large Language Models (LLMs) and Generative Artificial Intelligence (GenAI) in Computer Vision.


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Redmond, Washington, United States


Overview We are seeking highly skilled and passionate research scientists to join Responsible & Open Ai Research (ROAR) in Azure Cognitive Services in Redmond, WA.

As a Principal Research Scientist, you will play a key role in advancing Responsible AI approaches to ensure safe releases of GenAI models such as GPT-4o, DALL-E, Sora, and beyond, as well as to expand and enhance the capability of Azure AI Content Safety Service.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities Conduct cutting-edge, deployment-driven research to develop Responsible AI definitions, methodologies, algorithms, and models for both measurement and mitigation of textual and multimodal AI risks. Stay abreast of the latest advancements in the field and contribute to the scientific community through publications at top venues.

Enable the safe release of multimodal models from OpenAI in Azure OpenAI Service, expand and enhance the Azure AI Content Safety Service with new detection/mitigation technologies in text and multimodal content. Develop innovative approaches to address AI safety challenges for diverse customer scenarios.

Review business and product requirements and incorporate state-of-the-art research to formulate plans that will meet business goals. Identifies gaps and determines which tools, technologies, and methods to incorporate to ensure quality and scientific rigor. Proactively provides mentorship and coaching to less experienced and mid-level team members.


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Natick, MA, United States


The Company Cognex is a global leader in the exciting and growing field of machine vision.

The Team: Vision Algorithms, Advanced Vision Technology This position is in the Vision Algorithms Team of Advanced Vision Technology group, which is responsible for designing and developing the most sophisticated machine vision tools in the world. We combine custom hardware, specialized lighting, optics, and world-class vision algorithms to create software systems that are used to analyze imagery (intensity, color, density, Z-data, ID barcodes, etc.), to detect, identify and localize objects, to make measurements, to inspect for defects, and to read encoded data. Technology development is critical to the overall business to expand areas of application, improve performance, discover new algorithms, and to make use of new hardware and processing power. Engineers in this group typically have experience with image analysis, machine vision, or signal processing.

Job Summary: The Vision Algorithms team is looking for well-rounded, intelligent, creative, and motivated summer or fall intern with a passion for results! You will work with our senior engineers and technical leads on projects that advance our software development infrastructure and enhance our key technologies and customer experience. You will get mentorship on tackling technical challenges and opportunities to build a solid foundation for your career in Software Engineering, or Computer Vision and Artificial Intelligence.

Essential Functions: - Prototype and develop Vision (2D and ID) applications on top of Cognex products and technology. - Build internal tools or automated tests that can be used in software development or testing. - Understand our products and contribute to creating optimal solutions for customer applications in the automation industry. - High energy and motivated learner. Creative, motivated, and looking to work hard for a fast-moving company. - Strong analytical and problem-solving skills. - Strong programming skills in both C/C++ and Python are required. - Solid understanding of machine learning (ML) fundamentals and experience with ML frameworks like TensorFlow or PyTorch required. - Demonstrated projects or internships in AI/ML domain during academic or professional tenure is highly desirable. - Experience with embedded systems, Linux systems, vision/image-processing and optics all valued. - Background in 2D vision, 3D camera calibration & multi camera systems are preferred.

Minimum education and work experience required: Pursuing a MS, or Ph.D. from a top engineering school in EE, CS, or equivalent.

If you would like to meet the hiring manager at CVPR to discuss this opportunity, please email ahmed.elbarkouky@cognex.com


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Location Sunnyvale, CA Bellevue, WA


Description Are you fueled by a passion for computer vision, machine learning and AI, and are eager to leverage your skills to enrich the lives of millions across the globe? Join us at Ring AI team, where we're not just offering a job, but an opportunity to revolutionize safety and convenience in our neighborhoods through cutting-edge innovation.

You will be part of a dynamic team dedicated to pushing the boundaries of computer vision, machine learning and AI to deliver an unparalleled user experience for our neighbors. This position presents an exceptional opportunity for you to pioneer and innovate in AI, making a profound impact on millions of customers worldwide. You will partner with world-class AI scientists, engineers, product managers and other experts to develop industry-leading AI algorithms and systems for a diverse array of Ring and Blink products, enhancing the lives of millions of customers globally. Join us in shaping the future of AI innovation at Ring and Blink, where exciting challenges await!


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The Prediction & Behavior ML team is responsible for developing machine-learned models that understand the full scene around our vehicle and forecast the behavior for other agents, our own vehicle’s actions, and for offline applications. To solve these problems we develop deep learning algorithms that can learn behaviors from data and apply them on-vehicle to influence our vehicle’s driving behavior and offline to provide learned models to autonomy simulation and validation. Given the tight integration of behavior forecasting and motion planning, our team necessarily works very closely with the Planner team in the advancement of our overall vehicle behavior. The Prediction & Behavior ML team also works closely with our Perception, Simulation, and Systems Engineering teams on many cross-team initiatives.


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San Jose, CA

B GARAGE was founded in 2017 by a Ph.D. graduate from Stanford University. After having spent over five years researching robotics, computer vision, aeronautics, and drone autonomy, the founder and team set their minds on building a future where aerial robots would become an integral part of our daily lives without anyone necessarily piloting them. Together, our common goal is to redefine the user experience of drones and to expand the horizon for the use of drones.

Roles and Responsibilities

Design and develop perception for aerial robot and inventory recognition for warehouses by leveraging computer vision and deep learning techniques

Aid the computer vision team to deliver prototype and product in a timely manner

Collaborate with other teams within the company

Minimum Qualifications

M.S. degree in computer science, robotics, electrical engineering, or other engineering disciplines

10+ years of experience with computer vision and machine learning

Proficient in image processing algorithms and multiple view geometry using camera

Experience with machine learning architectures for object detection, segmentation, text recognition etc.

Proficient with ROS, C++, and Python

Experience with popular computer vision and GPU frameworks/libraries (e.g., OpenCV,TensorFlow, PyTorch, CUDA, cuDNN etc.)

Proficient in containerization technologies (Docker, Kubernetes) and container orchestration technologies

Experience in cloud computing platforms (AWS, GCP, etc.)

Experience with robots operating on real-time onboard processing

Self-motivated person who thrives in a fast-paced environment

Good problem solving and troubleshooting skills

Legally authorized to work in the United States

Optional Qualifications

Ph.D. degree in computer science, robotics, electrical engineering, or other engineering disciplines

Experience with scene reconstruction, bundle adjustment and factor graph optimization libraries

Experience with Javascript and massively parallel cloud computing technologies involving Kafka, Spark, MapReduce

Published research papers in CVPR, ICCV, ECCV, ICRA, IROS, etc.

Company Benefits

Competitive compensation packages

Medical, dental, vision, life insurance, and 401(k)

Flexible vacation and paid holidays

Complimentary lunches and snacks

Professional development reimbursement (online courses, conference, exhibit, etc.)

B GARAGE stands for an open and respectful corporate culture because we believe diversity helps us to find new perspectives.

B GARAGE ensures that all our members have equal opportunities – regardless of age, ethnic origin and nationality, gender and gender identity, physical and mental abilities, religion and belief, sexual orientation, and social background. We always ensure diversity right from the recruitment stage and therefore make hiring decisions based on a candidate’s actual competencies, qualifications, and business needs at the point of the time.


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Redmond, Washington, United States


Overview Microsoft Research (MSR) AI Frontiers lab is seeking applications for the position of Principal Researcher – Generative AI to join their team.

The mission of the AI Frontiers lab is to expand the pareto frontier of Artificial Intelligence (AI) capabilities, efficiency, and safety through innovations in foundation models and learning agent platforms. Some of our projects include work on Small Language Models (e.g. Phi, Orca) and Multi-Agent AI (e.g. AutoGen).

We are seeking a Principal Researcher – Generative AI to join our team and lead efforts on the advancement of Generative AI and Large Language Models (LLMs) technologies. As a Principal Researcher – Generative AI, you will play a crucial role in leading, developing, improving, and exploring the capabilities of Generative AI models. Your work will have a significant impact on the development of cutting-edge technologies, advancing state-of-the-art and providing practical solutions to real-world problems.  

Our ongoing research areas encompass but are not limited to:

Pre-training: especially of small language and multimodal models Alignment and Post-training: e.g., Instruction tuning and reinforcement learning from feedback Continual Learning: Enabling LLMs to evolve and adapt over time and learn from previous experiences human interactions Specialization: Tailoring LLMs to meet application-specific requirements Orchestration and multi-agent systems: automated orchestration between multiple agents incorporating human feedback and oversight

MSR offers a vibrant environment for cutting-edge, multidisciplinary, research, including access to diverse, real-world problems and data, opportunities for experimentation and real-world impact, an open publication policy, and close links to top academic institutions around the world.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.   

Responsibilities You will perform cutting-edge research in collaboration with other researchers, engineers, and product groups.
As a member of a word-class research organization, you will be a part of research breakthroughs in the field and will be given an opportunity to realize your ideas in products and services used worldwide. Embody our culture and values.


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Location Seattle, WA


Description Amazon Advertising is one of Amazon's fastest growing businesses. Amazon's advertising portfolio helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The primary goals are to help shoppers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day!

The Creative X team within Amazon Advertising time aims to democratize access to high-quality creatives (images, videos) by building AI-driven solutions for advertisers. To accomplish this, we are investing in latent-diffusion models, large language models (LLM), computer vision (CV), reinforced learning (RL), and image + video and audio synthesis. You will be part of a close-knit team of applied scientists and product managers who are highly collaborative and at the top of their respective fields.

We are looking for talented Applied Scientists who are adept at a variety of skills, especially with computer vision, latent diffusion or related foundational models that will accelerate our plans to generate high-quality creatives on behalf of advertisers. Every member of the team is expected to build customer (advertiser) facing features, contribute to the collaborative spirit within the team, publish, patent, and bring cutting edge research to raise the bar within the team.


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As a systems engineer for perception safety, your primary responsibility will be to define and ensure the safety performance of the perception system. You will be working in close collaboration with perception algorithm and sensor hardware development teams.


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