Publication record in top venues including ICML, ICLR, ICRA, CVPR, ICCV, ECCV, NeurIPS, etc. * Strong interpersonal, communication, and teamwork capabilities. Preferred Qualifications * Strong ...
Publication record in top venues including ICML, ICLR, ICRA, CVPR, ICCV, ECCV, NeurIPS, etc. * Strong interpersonal, communication, and teamwork capabilities. Preferred Qualifications * Strong ...
3D Computer Vision Researcher
Arlington, VA · On-site
$155K - $215K/yr
Enjoy support and encouragement for participation in national and international conferences (such as CVPR, ICCV, ECCV, WACV, and 3DV) * Be encouraged to seek funding to grow and develop your own ...
3D Computer Vision Researcher
Arlington, VA · On-site
$155K - $215K/yr
Enjoy support and encouragement for participation in national and international conferences (such as CVPR, ICCV, ECCV, WACV, and 3DV) * Be encouraged to seek funding to grow and develop your own ...
Senior AI Research Scientist- Time-Series Foundational Models
Sunnyvale, CA · On-site
$115K - $146K/yr
A strong publication record in relevant venues such as ICASSP, NeurIPS, InterSpeech, ICML, ICLR, KDD, ICRA, CVPR, ICCV, ECCV or equivalent contributions to the field such as patents or significant ...
Senior AI Research Scientist- Time-Series Foundational Models
Sunnyvale, CA · On-site
$115K - $146K/yr
A strong publication record in relevant venues such as ICASSP, NeurIPS, InterSpeech, ICML, ICLR, KDD, ICRA, CVPR, ICCV, ECCV or equivalent contributions to the field such as patents or significant ...
Enjoy support and encouragement for participation in national and international conferences (such as CVPR, ICCV, ECCV, WACV, and 3DV) * Be encouraged to seek funding to grow and develop your own ...
Quick apply
Enjoy support and encouragement for participation in national and international conferences (such as CVPR, ICCV, ECCV, WACV, and 3DV) * Be encouraged to seek funding to grow and develop your own ...
Publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, AAAI, CVPR, ICCV, ECCV, ACL, EMNLP, etc).Hands-on experience working with deep learning toolkits such as PyTorch.Strong ...
Publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, AAAI, CVPR, ICCV, ECCV, ACL, EMNLP, etc).Hands-on experience working with deep learning toolkits such as PyTorch.Strong ...
Publication record in top venues including ICML, ICLR, ICRA, CVPR, ICCV, ECCV, NeurIPS, etc. * Strong interpersonal, communication, and teamwork capabilities. Preferred Qualifications * Strong ...
Publication record in top venues including ICML, ICLR, ICRA, CVPR, ICCV, ECCV, NeurIPS, etc. * Strong interpersonal, communication, and teamwork capabilities. Preferred Qualifications * Strong ...
Contributions to research communities and efforts, such as publications at conferences like CVPR, NeurIPS, ICCV, ECCV, ICML, and ICLR * Large scale machine learning experience working with terabytes ...
Contributions to research communities and efforts, such as publications at conferences like CVPR, NeurIPS, ICCV, ECCV, ICML, and ICLR * Large scale machine learning experience working with terabytes ...
Contributions to research communities and efforts, such as publications at conferences like CVPR, NeurIPS, ICCV, ECCV, ICML, and ICLR * Large scale machine learning experience working with terabytes ...
Contributions to research communities and efforts, such as publications at conferences like CVPR, NeurIPS, ICCV, ECCV, ICML, and ICLR * Large scale machine learning experience working with terabytes ...
Contributions to research communities and efforts, such as publications at conferences like CVPR, NeurIPS, ICCV, ECCV, ICML, and ICLR * Large scale machine learning experience working with terabytes ...
Contributions to research communities and efforts, such as publications at conferences like CVPR, NeurIPS, ICCV, ECCV, ICML, and ICLR * Large scale machine learning experience working with terabytes ...
Contributions to research communities and efforts, such as publications at conferences like CVPR, NeurIPS, ICCV, ECCV, ICML, and ICLR * Large scale machine learning experience working with terabytes ...
Contributions to research communities and efforts, such as publications at conferences like CVPR, NeurIPS, ICCV, ECCV, ICML, and ICLR * Large scale machine learning experience working with terabytes ...
Contributions to research communities and efforts, such as publications at conferences like CVPR, NeurIPS, ICCV, ECCV, ICML, and ICLR * Large scale machine learning experience working with terabytes ...
Contributions to research communities and efforts, such as publications at conferences like CVPR, NeurIPS, ICCV, ECCV, ICML, and ICLR * Large scale machine learning experience working with terabytes ...
Contributions to research communities and efforts, such as publications at conferences like CVPR, NeurIPS, ICCV, ECCV, ICML, and ICLR * Large scale machine learning experience working with terabytes ...
Contributions to research communities and efforts, such as publications at conferences like CVPR, NeurIPS, ICCV, ECCV, ICML, and ICLR * Large scale machine learning experience working with terabytes ...
Contributions to research communities and efforts, such as publications at conferences like CVPR, NeurIPS, ICCV, ECCV, ICML, and ICLR * Large scale machine learning experience working with terabytes ...
Contributions to research communities and efforts, such as publications at conferences like CVPR, NeurIPS, ICCV, ECCV, ICML, and ICLR * Large scale machine learning experience working with terabytes ...
Contributions to research communities and efforts, such as publications at conferences like CVPR, NeurIPS, ICCV, ECCV, ICML, and ICLR * Large scale machine learning experience working with terabytes ...
Contributions to research communities and efforts, such as publications at conferences like CVPR, NeurIPS, ICCV, ECCV, ICML, and ICLR * Large scale machine learning experience working with terabytes ...
Contributions to research communities and efforts, such as publications at conferences like CVPR, NeurIPS, ICCV, ECCV, ICML, and ICLR * Large scale machine learning experience working with terabytes ...
Contributions to research communities and efforts, such as publications at conferences like CVPR, NeurIPS, ICCV, ECCV, ICML, and ICLR * Large scale machine learning experience working with terabytes ...
Contributions to research communities and efforts, such as publications at conferences like CVPR, NeurIPS, ICCV, ECCV, ICML, and ICLR * Large scale machine learning experience working with terabytes ...
Contributions to research communities and efforts, such as publications at conferences like CVPR, NeurIPS, ICCV, ECCV, ICML, and ICLR * Large scale machine learning experience working with terabytes ...
Contributions to research communities and efforts, such as publications at conferences like CVPR, NeurIPS, ICCV, ECCV, ICML, and ICLR * Large scale machine learning experience working with terabytes ...
Contributions to research communities and efforts, such as publications at conferences like CVPR, NeurIPS, ICCV, ECCV, ICML, and ICLR * Large scale machine learning experience working with terabytes ...
Contributions to research communities and efforts, such as publications at conferences like CVPR, NeurIPS, ICCV, ECCV, ICML, and ICLR * Large scale machine learning experience working with terabytes ...
Contributions to research communities and efforts, such as publications at conferences like CVPR, NeurIPS, ICCV, ECCV, ICML, and ICLR * Large scale machine learning experience working with terabytes ...
Contributions to research communities and efforts, such as publications at conferences like CVPR, NeurIPS, ICCV, ECCV, ICML, and ICLR * Large scale machine learning experience working with terabytes ...
Contributions to research communities and efforts, such as publications at conferences like CVPR, NeurIPS, ICCV, ECCV, ICML, and ICLR * Large scale machine learning experience working with terabytes ...
Contributions to research communities and efforts, such as publications at conferences like CVPR, NeurIPS, ICCV, ECCV, ICML, and ICLR * Large scale machine learning experience working with terabytes ...
Contributions to research communities and efforts, such as publications at conferences like CVPR, NeurIPS, ICCV, ECCV, ICML, and ICLR * Large scale machine learning experience working with terabytes ...
Eccv information
See salary details
$25.5K - $31.2K
5% of jobs
$33.1K is the 25th percentile. Wages below this are outliers.
$31.2K - $36.9K
59% of jobs
$36.9K - $42.5K
9% of jobs
$43K is the 75th percentile. Wages above this are outliers.
$42.5K - $48.2K
17% of jobs
$48.2K - $53.9K
4% of jobs
$53.9K - $59.6K
2% of jobs
$59.6K - $65.3K
3% of jobs
$65.3K - $71K
0% of jobs
$71K - $76.6K
0% of jobs
$76.6K - $82.3K
0% of jobs
$82.3K - $88K
0% of jobs
$25.5K
$42.6K
$88K
How much do eccv jobs pay per year?
As of Jun 6, 2026, the average yearly pay for eccv in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.
What is the difference between Eccv vs Computer Vision Engineer?
| Aspect | Eccv | Computer Vision Engineer |
|---|---|---|
| Credentials | Typically requires a PhD or advanced degree in computer vision, machine learning, or related fields | Often requires a bachelor's or master's degree in computer science, electrical engineering, or related areas, with some roles preferring a PhD |
| Work Environment | Academic conferences, research labs, industry research teams | Industry settings, tech companies, startups, R&D departments |
| Industry Usage | Presentation of research, academic publishing, collaboration with industry | Development of computer vision applications, product integration, software development |
While Eccv refers to a prestigious academic conference focused on computer vision research, a Computer Vision Engineer is a professional who applies this research to develop real-world applications. The two are related but serve different roles: Eccv is a platform for sharing research, whereas a Computer Vision Engineer implements and deploys computer vision solutions in industry settings.
What are the key skills and qualifications needed to thrive as a Computer Vision Engineer, and why are they important?
To thrive as a Computer Vision Engineer, you need strong knowledge of image processing, machine learning, and programming languages like Python or C++, typically supported by a degree in computer science or a related field. Familiarity with tools such as OpenCV, TensorFlow, and PyTorch, as well as experience using GPU computing and deep learning frameworks, is essential. Strong analytical thinking, creativity, and teamwork skills help engineers solve complex visual problems and collaborate effectively. These capabilities are crucial for developing innovative computer vision solutions that meet real-world challenges in diverse industries.
What are ECCV jobs?
ECCV jobs refer to roles and opportunities related to the European Conference on Computer Vision (ECCV), a leading conference in computer vision and related areas. Positions may include research paper reviewers, conference organizers, volunteers, and technical support staff, as well as academic or industry positions advertised during the event. These jobs are ideal for those with a background in computer vision, machine learning, and artificial intelligence. ECCV is a major venue for networking and career advancement in the computer vision community.
What are the typical responsibilities of a computer vision researcher working with ECCV-related projects?
Computer vision researchers involved in ECCV-related projects typically focus on designing and implementing innovative algorithms for image and video analysis, conducting experiments, and publishing their findings in top-tier conferences like ECCV. They often collaborate closely with interdisciplinary teams, including machine learning engineers and domain experts, to address real-world vision problems. Daily tasks may include coding, data annotation, model evaluation, and attending group meetings to discuss progress and share insights. The role offers opportunities for growth through publishing papers, networking with leading scientists, and contributing to open-source vision tools.
What states have the most Eccv jobs? States with the most job openings for Eccv jobs include:
Full-time
Posted 8 days ago
Job description
Company Description
We Are Bosch.
At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people's lives. Our areas of activity are every bit as diverse as our outstanding Bosch teams around the world. Their creativity is the key to innovation through connected living, mobility, or industry.
Let's grow together, enjoy more, and inspire each other. Work #LikeABosch
The Bosch Research and Technology Center North America with offices in Sunnyvale, California, Pittsburgh, Pennsylvania, and Cambridge, Massachusetts is a part of the global Bosch Group (www.bosch.com), a company with over 70 billion euro revenue, 400,000 employees worldwide, a very diverse product portfolio, and a history spanning over 125 years. The Research and Technology Center North America (RTC-NA) is dedicated to providing technologies and system solutions for various Bosch business fields, primarily in the field of artificial intelligence, energy technologies, internet technologies, circuit design, semiconductors and wireless, as well as advanced MEMS design.
Job Description
As a part of the global research, our AI research in Pittsburgh focuses on Multimodal Foundation Models, AI-based Sensing, Driving assistance, agentic AI, and efficient GenAI. We develop scalable, intelligent, and trustworthy AI solutions for Bosch products and services in application areas such as advanced manufacturing, smart home and building solutions, advanced driver assistance systems (ADAS), robust AI systems, and AI-based simulators.
Originating from Bosch AI research in Pittsburgh, we are responsible for pushing the boundaries of multimodal foundation models and GenAI through key innovations to solve complex industry problems, and shape the future of Bosch products and services for both internal and external users. We work with internal partners of different Bosch business units to transfer our solutions into future products. We also actively collaborate with leading groups in academia and industry to promote research ideas and publish research findings in internationally renowned conferences and journals such as ICML, ICLR, ICRA, CVPR, ICCV, ECCV, NeurIPS, etc.)
Document and disseminate research findings through high-caliber publications and/or patent submissions.
Qualifications
Basic Qualifications
Preferred Qualifications
Additional Information
Equal Opportunity Employer, including disability / veterans.
Please note that employment is contingent upon the successful completion of a drug screen and background check. Candidates who have been offered the position must pass both screenings before their start date.
#LI-JM1
We Are Bosch.
At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people's lives. Our areas of activity are every bit as diverse as our outstanding Bosch teams around the world. Their creativity is the key to innovation through connected living, mobility, or industry.
Let's grow together, enjoy more, and inspire each other. Work #LikeABosch
- Reinvent yourself: At Bosch, you will evolve.
- Discover new directions: At Bosch, you will find your place.
- Balance your life: At Bosch, your job matches your lifestyle.
- Celebrate success: At Bosch, we celebrate you.
- Be yourself: At Bosch, we value values.
- Shape tomorrow: At Bosch, you change lives.
The Bosch Research and Technology Center North America with offices in Sunnyvale, California, Pittsburgh, Pennsylvania, and Cambridge, Massachusetts is a part of the global Bosch Group (www.bosch.com), a company with over 70 billion euro revenue, 400,000 employees worldwide, a very diverse product portfolio, and a history spanning over 125 years. The Research and Technology Center North America (RTC-NA) is dedicated to providing technologies and system solutions for various Bosch business fields, primarily in the field of artificial intelligence, energy technologies, internet technologies, circuit design, semiconductors and wireless, as well as advanced MEMS design.
Job Description
As a part of the global research, our AI research in Pittsburgh focuses on Multimodal Foundation Models, AI-based Sensing, Driving assistance, agentic AI, and efficient GenAI. We develop scalable, intelligent, and trustworthy AI solutions for Bosch products and services in application areas such as advanced manufacturing, smart home and building solutions, advanced driver assistance systems (ADAS), robust AI systems, and AI-based simulators.
Originating from Bosch AI research in Pittsburgh, we are responsible for pushing the boundaries of multimodal foundation models and GenAI through key innovations to solve complex industry problems, and shape the future of Bosch products and services for both internal and external users. We work with internal partners of different Bosch business units to transfer our solutions into future products. We also actively collaborate with leading groups in academia and industry to promote research ideas and publish research findings in internationally renowned conferences and journals such as ICML, ICLR, ICRA, CVPR, ICCV, ECCV, NeurIPS, etc.)
- Conduct research on multimodal foundation models, agentic AI, robustness and efficient GenAI to address academic and industrial challenges.
- Work with an international team of experts to transfer and apply Bosch in-house AI innovations and 3rd-party solutions to Bosch AI products and services, building systems that can advance manufacturing, energy solutions, AI-based sensing, driving assistance, etc.
- Stay abreast of the latest technological innovations and market trends by attending academic conferences, technical events, and seminars.
- Offer expert insights to the management team in relevant technology sectors, aiding in strategic planning, R&D trajectory, and investment decisions.
Document and disseminate research findings through high-caliber publications and/or patent submissions.
Qualifications
Basic Qualifications
- Ph.D. in Computer Science or Engineering, or a related discipline or master's degree with 3+ years industry experience (multimodal foundation model related) after graduation.
- 4+ years of research experience or equivalent graduate research experience on multimodal foundation models, agentic AI, robust and efficient GenAI
- In-depth experiences in foundation models, with work in at least two of the following areas: time-series data analysis, LLMs, VLMs/MMLMs, inference efficiency, deployment of large models, robustness
- Proficiency in one or more programming languages commonly used in systems research (e.g., Python, C++) and hands on experience with AI libraries.
- Publication record in top venues including ICML, ICLR, ICRA, CVPR, ICCV, ECCV, NeurIPS, etc.
- Strong interpersonal, communication, and teamwork capabilities.
Preferred Qualifications
- Strong background in math, statistics, computational modeling
- 3+ years experiences in industrial research
- Hands-on experience in product development in the above-mentioned areas for consumer/enterprise markets.
- Experience in leading R&D project & team dealing with international customers.
- Leadership skills with excellent English communication & teamwork skills.
Additional Information
Equal Opportunity Employer, including disability / veterans.
Please note that employment is contingent upon the successful completion of a drug screen and background check. Candidates who have been offered the position must pass both screenings before their start date.
#LI-JM1