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Executive Computer Vision Postdoc Jobs (NOW HIRING)

Umd

Post-Doctoral Associate

College Park, MD

$48K - $65K/yr

The postdocs will write and publish academic papers to present research results at top venues in computer vision, computer graphics and machine learning. The postdoc may also organize and participate ...

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Executive Computer Vision Postdoc information

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$26.5K

$93.6K

$184K

How much do executive computer vision postdoc jobs pay per year?

As of Jun 21, 2026, the average yearly pay for executive computer vision postdoc in the United States is $93,552.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,000.00 and $120,500.00 per year, depending on experience, location, and employer.

What types of projects and collaborations can an Executive Computer Vision Postdoc expect to be involved in?

As an Executive Computer Vision Postdoc, you will typically work on high-impact research projects that involve developing and optimizing advanced computer vision algorithms for real-world applications. You may collaborate closely with cross-functional teams, including data scientists, software engineers, and product managers, to translate research findings into deployable solutions. Additionally, you’ll often co-author publications, present at conferences, and mentor junior researchers, allowing you to expand your professional network and gain exposure to both academic and industry-oriented projects.

What are the key skills and qualifications needed to thrive as an Executive Computer Vision Postdoc, and why are they important?

To thrive as an Executive Computer Vision Postdoc, you need a PhD in computer science or a related field, extensive expertise in computer vision algorithms, and a strong publication record. Proficiency in programming languages such as Python or C++, deep learning frameworks like TensorFlow or PyTorch, and experience with high-performance computing are typically required. Outstanding problem-solving abilities, leadership, and effective communication set candidates apart in this research-driven role. These skills and qualities ensure the ability to lead innovative projects, collaborate with multidisciplinary teams, and advance cutting-edge computer vision research.

What is an Executive Computer Vision Postdoc?

An Executive Computer Vision Postdoc is a postdoctoral researcher specializing in computer vision who often takes on leadership or management responsibilities within research projects. This role goes beyond traditional postdoctoral research, involving oversight of teams, coordination of interdisciplinary collaborations, and strategic planning for research initiatives. Executive Computer Vision Postdocs may also contribute to high-level decision-making, grant writing, and representing their lab or institution at conferences. Their expertise in computer vision allows them to guide technical direction while fostering innovation in fields like artificial intelligence, robotics, or medical imaging. This position is ideal for individuals aiming to combine advanced research with leadership experience in academia or industry.
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Executive Computer Vision Postdoc jobs near you
Infographic showing various Executive Computer Vision Postdoc job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, and 99% Full Time. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $93,552 per year, or $45 per hour.
Machine Learning Engineer, Computer Vision - Strategic Data Solutions

Machine Learning Engineer, Computer Vision - Strategic Data Solutions

Apple

Sunnyvale, CA • On-site

$65.50 - $86.50/hr

Full-time

Posted 6 hours ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 662 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers

Job description

Apple's Strategic Data Solutions (SDS) team is looking for a hard-working individual who is passionate about implementing and operating analytical solutions that have direct, measurable impact to Apple and its customers. As a CV MLE on the SDS team, you will build end-to-end solutions for preventing fraud, waste, and abuse while safeguarding the customer experience. The day-to-day work consists of identifying new fraud leads by connecting different data sources together; working with a team of annotators to curate a labeled image dataset; building computer vision pipelines or training ConvNet models; deploying the analytic product into a real-time decisioning platform; and ensuring ongoing operational excellence by monitoring and making operational adjustments. The adversarial nature of fraud and the large scale of the business make for exciting challenges. On this team, we apply a variety of data science approaches towards the mitigation of fraud!
• Translate business needs into technical solutions. Work with program managers, data scientists, and business partners to incorporate analytic solutions into business processes • Explore tabular and image datasets to identify patterns of fraudulent behavior • Move quickly to combat adversarial attacks by developing and deploying updated models • Analyze data and communicate findings to audiences with various technical backgrounds (e.g., engineers, program managers, and executives) • Coordinate with engineers and system administrators to deploy analytics to a real-time decisioning platform • Identify and implement new data science tools to complement the existing capabilities of the team
M.S. or Ph.D. in Computer Science, Machine Learning, Engineering, or other technical field with experience in computer vision or machine learning or equivalent 2 years of proven experiencePractical experience and theoretical understanding of computer vision methods (e.g., local feature matching) or deep learning models (e.g., CNN)Ability to code and debug in a general programming language such as Python or JavaAbility to extract business insights from data and identify the stories behind the patternsAbility to navigate complex systems spanning toolchains and teams
Ability to use a querying language such as SQL to extract insights from dataDemonstrate ability to think holistically about system structures and interactions in order to anticipate technical, business, and customer impactEffective communication skills to translate complex concepts and analysis into concise, business-focused solutionsTeam-oriented skills and values to facilitate effective collaboration with business and technical partners

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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