1

Computer Vision Developer Jobs in Missouri (NOW HIRING)

(USA) Staff, Data Scientist

Cassville, MO · On-site

$110K - $220K/yr

As a Staff Data Scientist at Walmart, you will leverage Computer Vision algorithms, Generative AI ... That's what we do at Walmart Global Tech. We're a team of software engineers, data scientists ...

(USA) Staff, Data Scientist

Anderson, MO · On-site

$110K - $220K/yr

As a Staff Data Scientist at Walmart, you will leverage Computer Vision algorithms, Generative AI ... That's what we do at Walmart Global Tech. We're a team of software engineers, data scientists ...

(USA) Staff, Data Scientist

Noel, MO · On-site

$110K - $220K/yr

As a Staff Data Scientist at Walmart, you will leverage Computer Vision algorithms, Generative AI ... That's what we do at Walmart Global Tech. We're a team of software engineers, data scientists ...

Champion innovation and help scale next-generation solutions, including AI and computer vision ... Experience partnering with engineering, product, and business teams to deliver technology solutions ...

Champion innovation and help scale next-generation solutions, including AI and computer vision ... Experience partnering with engineering, product, and business teams to deliver technology solutions ...

Champion innovation and help scale next-generation solutions, including AI and computer vision ... Experience partnering with engineering, product, and business teams to deliver technology solutions ...

next page

Showing results 1-20

Computer Vision Developer information

See Missouri salary details

$16

$49

$76

How much do computer vision developer jobs pay per hour?

As of Aug 3, 2026, the average hourly pay for computer vision developer in Missouri is $49.56, according to ZipRecruiter salary data. Most workers in this role earn between $37.88 and $60.67 per hour, depending on experience, location, and employer.

Which 3 jobs will survive AI?

Computer Vision Developers are likely to continue in demand as AI advances because their work involves designing and improving algorithms that interpret visual data, a complex task difficult to fully automate. Roles requiring specialized knowledge, creativity, and problem-solving, such as AI researchers and data scientists, are also expected to persist. Skills in programming, machine learning, and domain expertise will remain valuable in these fields.

What are the key skills and qualifications needed to thrive as a Computer Vision Developer, and why are they important?

To excel as a Computer Vision Developer, you need a solid background in computer science, linear algebra, and experience with machine learning frameworks, often supported by a relevant degree or certifications. Familiarity with programming languages like Python or C++, and tools such as OpenCV, TensorFlow, or PyTorch, is typically required. Strong analytical thinking, problem-solving abilities, and effective teamwork skills help you innovate and deliver robust solutions. These competencies are crucial for developing, optimizing, and deploying advanced visual recognition systems that meet real-world application needs.

What tech jobs pay $400,000 a year?

In the field of computer vision development, senior roles such as Lead AI Engineer or Machine Learning Director can reach or exceed $400,000 annually, especially in large tech companies or specialized industries. These positions typically require advanced skills in deep learning, experience with frameworks like TensorFlow or PyTorch, and often involve leadership responsibilities and high-level expertise. Compensation varies based on company size, location, and individual experience.

What is the difference between Computer Vision Developer vs Machine Learning Engineer?

AspectComputer Vision DeveloperMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, specialized in computer vision or image processingBachelor's or Master's in CS, data science, or related fields with ML focus
Work EnvironmentDevelops algorithms for image/video analysis, often in tech, automotive, or healthcare industriesBuilds models for various data types, including images, text, and structured data across industries
Employer & Industry UsageTech companies, robotics, automotive, healthcareTech firms, startups, finance, healthcare, and research institutions

While both roles involve machine learning techniques, Computer Vision Developers specialize in image and video analysis, whereas Machine Learning Engineers work on broader data modeling across multiple data types. The roles often overlap but differ in focus and application areas.

What are some common challenges faced by Computer Vision Developers in deploying models to production environments?

Computer Vision Developers often encounter challenges such as optimizing models for real-time performance, handling diverse and noisy data from real-world sources, and ensuring models are robust across various hardware platforms. Integrating computer vision solutions into existing systems may require close collaboration with DevOps and backend engineers to address issues like latency, scalability, and security. Staying updated with rapidly evolving frameworks and hardware accelerators is also essential to maintain high-quality deployments.

Is computer vision a dead field?

Computer vision is an active and rapidly evolving field with ongoing research and industry applications such as autonomous vehicles, facial recognition, and medical imaging. As a computer vision developer, staying current with machine learning frameworks like TensorFlow or PyTorch and understanding deep learning techniques is essential for success in the field.

What is a Computer Vision Developer?

A Computer Vision Developer is a software engineer who specializes in creating applications and systems that can interpret and process visual information from the world, such as images or videos. They use techniques from artificial intelligence and machine learning to enable computers to identify objects, track movements, and understand scenes. Their work powers technologies such as facial recognition, autonomous vehicles, and augmented reality. Typically, they have expertise in programming languages like Python or C++, and are familiar with frameworks such as OpenCV or TensorFlow.

What engineers make $500,000?

Senior computer vision developers with extensive experience, specialized skills in deep learning and image processing, and often working in high-demand industries such as autonomous vehicles or AI research can earn $500,000 or more annually. Achieving this level typically requires advanced degrees, certifications, and a strong portfolio of impactful projects.
What are popular job titles related to Computer Vision Developer jobs in Missouri? For Computer Vision Developer jobs in Missouri, the most frequently searched job titles are:
Infographic showing various Computer Vision Developer job openings in Missouri as of July 2026, with employment types broken down into 1% As Needed, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $103,091 per year, or $49.6 per hour.

Operations Program Manager (Computer Vision), Public Sector

Scale AI, Inc.

Saint Louis, MO • On-site

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 20 days ago


Scale AI rating

8.5

Company rating: 8.5 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

77th of 241 rated software companies


Job description

Scale's Public Sector customer base is growing rapidly, and you will be on the front lines of machine learning (ML) operations to accelerate the development of artificial intelligence (AI) applications for the Department of Defense and other national security customers.

As a Public Sector Operations Program Manager, you will act as the program manager for multiple projects on the Public Sector Computer Vision team, working cross-functionally with our Delivery and Engineering teams, and collaborating with a team of high performing operations managers and subject matter experts to drive operational efficiencies. You will have team and project-level ownership of the operations of our data labeling system and are responsible for delivering data on time and at a high level of quality across diverse data modalities and levels of clearance. All of this serves an ultimate goal of delivering outsize value in supporting our Public Sector customer's AI / ML objectives.You will also help lead how we develop and communicate our operational improvements for the customer.

You will:

  • Design and lead cross-functional initiatives with engineering, product, analytics, and delivery teams (as well as relevant geospatial experts) to achieve project outcomes
  • Innovate on complex computer vision workflows and evaluation of data quality
  • Communicate and own the execution of multiple data annotation workflows across diverse data types (geospatial imagery, video, etc)
  • Optimize data annotation workflows with systems analysis to improve data quality and throughput with a goal achieving optimized machine learning outcomes
  • Outline and deliver on data-driven operational efficiencies on these workflows to achieve business outcomes
  • Partner with an engagement managers to communicate with and shape outcomes for Scale's Public Sector customers

You have:

  • 5+ years of experience in a general manager / program manager position or a similar leadership role in operations
  • The ability to regularly work onsite in both unclassified and secure facilities in either downtown Saint Louis, MO or the Washington D.C. area
  • An analytical, automation-focused mindset, able to analyze provable and traceable data to develop robust, flexible integrations and workflows with metrics-led results
  • Experience working in a fast-paced environment
  • Low ego and a proven pattern of sharing wins with your team
  • A history of successful project management and comfort in ambiguity
  • Willingness to travel up to 25% of the time based on customer + mission needs

Nice to haves:

  • An active TS-SCI security clearance
  • A technical background (education or professional experience with economics, statistics, computer science, or engineering)
  • Experience working in and / or with the U.S. government
  • A deep understanding of ML operations for Computer Vision and Generative AI workflows / products
  • MBA or relevant technical degree


Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

The base salary range for this full-time position in the location of Washington DC/Hawaii is:
$139,200—$212,000 USD
The base salary range for this full-time position in the location of St. Louis/Suffolk is:
$116,000—$177,000 USD

PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

About Us:

At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.

We comply with the United States Department of Labor's Pay Transparency provision.

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.


What Scale AI employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom