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Computer Vision Engineer Jobs in Georgia (NOW HIRING)

Senior Machine Learning Engineer (3967)

Atlanta, GA · On-site

$100.50K - $138K/yr

The role requires deep expertise in modern ML and computer vision techniques, experience operating models in production, and the ability to guide junior engineers through the full ML lifecycle while ...

The role requires deep expertise in modern ML and computer vision techniques, experience operating models in production, and the ability to guide junior engineers through the full ML lifecycle while ...

Senior Machine Learning Engineer (3967)

Atlanta, GA · On-site

$100.50K - $138K/yr

The role requires deep expertise in modern ML and computer vision techniques, experience operating models in production, and the ability to guide junior engineers through the full ML lifecycle while ...

Design and implement novel computer vision and deep learning algorithms for virtual staining and ... Knowledge of software engineering best practices including version control (Git) and CI/CD ...

Computer Engineer

Warner Robins, GA · On-site

$97.90K - $115.40K/yr

General Description The Computer Engineer will develop advanced FPGA solutions that power both current and next‑generation defense systems. This role involves full‑lifecycle FPGA development ...

Computer Engineer

Warner Robins, GA · On-site

$97.90K - $115.40K/yr

General Description The Computer Engineer will develop advanced FPGA solutions that power both current and next-generation defense systems. This role involves full-lifecycle FPGA development, from ...

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Computer Vision Engineer information

See Georgia salary details

$41K

$102.6K

$116.1K

How much do computer vision engineer jobs pay per year?

As of May 29, 2026, the average yearly pay for computer vision engineer in Georgia is $102,605.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,100.00 and $111,000.00 per year, depending on experience, location, and employer.

What Does a Computer Vision Engineer Do?

Computer vision is a branch of artificial intelligence that attempts to replicate human analytical processes by using algorithms and computer models to understand and identify patterns in images. As a computer vision engineer, you use software to handle the processing and analysis of large data populations, and your efforts support the automation of predictive decision-making efforts. Your responsibilities involve research, programming, data analysis, and user interface design. You may work on a variety of exciting development projects like self-driving cars, mobile devices, innovative features and capabilities in sports and entertainment, and the next generation of social media enhancements.

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 a strong background in computer science, mathematics, and machine learning, often supported by a relevant degree and experience with image processing algorithms. Familiarity with tools and frameworks such as OpenCV, TensorFlow, PyTorch, and proficiency in programming languages like Python or C++ is essential, along with knowledge of deep learning techniques. Analytical thinking, creativity, and effective communication are standout soft skills for this role. These skills and qualities are crucial for developing innovative vision solutions, interpreting complex data, and collaborating efficiently within interdisciplinary teams.

What are some common challenges faced by Computer Vision Engineers when deploying models to production environments?

Computer Vision Engineers often encounter challenges such as ensuring model accuracy in diverse real-world conditions, optimizing models for efficiency on edge devices, and handling large-scale data processing. Deploying models to production requires balancing performance with resource constraints and addressing issues like latency, scalability, and data privacy. Collaborating closely with software engineers and data scientists is crucial to integrate solutions effectively and continuously monitor and improve model performance in live applications.

What are Computer Vision Engineers?

Computer Vision Engineers are professionals who develop algorithms and systems that enable computers to interpret and process visual information from the world, such as images and videos. They work on tasks like object detection, facial recognition, image segmentation, and more, often using machine learning and deep learning techniques. These engineers apply their expertise in fields like robotics, autonomous vehicles, healthcare, and augmented reality, turning raw visual data into actionable insights.

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

AspectComputer Vision EngineerMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, Electrical Engineering, or related; knowledge of image processing and computer vision librariesBachelor's or Master's in CS, Data Science, or related; strong programming and statistical skills
Work EnvironmentDevelops algorithms for image/video analysis, object detection, and recognition in tech, automotive, or healthcare industriesBuilds models for various data types, including text, images, and structured data across multiple sectors
Employer & Industry UsageTech companies, autonomous vehicles, robotics, healthcareTech firms, finance, e-commerce, healthcare, and research institutions

While both roles involve machine learning techniques, Computer Vision Engineers specialize in developing algorithms for visual data, whereas Machine Learning Engineers work on broader data modeling across various data types. The roles often overlap but differ mainly in focus and application areas.

What are the most commonly searched types of Computer Vision Engineer jobs in Georgia? The most popular types of Computer Vision Engineer jobs in Georgia are:
What are popular job titles related to Computer Vision Engineer jobs in Georgia? For Computer Vision Engineer jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Computer Vision Engineer jobs in Georgia look for? The top searched job categories for Computer Vision Engineer jobs in Georgia are:
What cities in Georgia are hiring for Computer Vision Engineer jobs? Cities in Georgia with the most Computer Vision Engineer job openings:
Infographic showing various Computer Vision Engineer job openings in Georgia as of May 2026, with employment types broken down into 2% Internship, 96% Full Time, and 2% Contract. Highlights an 85% In-person, 4% Hybrid, and 11% Remote job distribution, with an average salary of $102,605 per year, or $49.3 per hour.

Director of Engineering, AI & Computer Vision

PlayOn

Alpharetta, GA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 18 days ago


Job description

PlayOn Sports processes over 250,000 live high school sports games a year across NFHS Network, GoFan, and MaxPreps. We're using computer vision and AI to turn those streams into real-time scores, player-level statistics, automated highlights, and coaching tools. This is one of PlayOn's highest-priority investment areas, and we're looking for a Director of Engineering to lead the team building it.
As Director of Engineering for Streaming Intelligence, you'll own the engineering organization responsible for our computer vision stats pipeline, AI-powered fan experiences, and the broader application of AI across PlayOn's product portfolio. You'll partner directly with our Principal Product Manager to form the leadership duo for this product line. This is a people management role. You'll build and lead a team of senior and staff engineers, set technical direction, and be accountable for delivery against the program's milestones.
The right candidate has led engineering teams through ambiguous, high-stakes programs before. You've shipped AI-powered products in production, you know how to build and retain strong senior talent, and you're comfortable operating at the intersection of engineering, product, and business strategy. You don't just manage engineers. You set the technical bar, make architecture calls when it matters, and create the conditions for your team to do their best work.
The outcomes you'll deliver
• Streaming intelligence in production: Drive the computer vision stats program from its current POC phase into production-scale operation across five major sports. You own the delivery timeline, the technical quality bar, and the team's ability to execute. Target: production-scale within six months.
• Team build-out: Recruit, hire, and onboard the engineering talent needed to execute the streaming intelligence roadmap and expand AI capabilities across PlayOn. You'll inherit a strong foundation of senior engineers and are expected to grow and shape the team to match the program's ambition.
• AI enablement across PlayOn: Extend AI capabilities beyond streaming intelligence into adjacent product areas. Work with engineering leaders across the company to establish reusable AI development patterns (model integration, evaluation frameworks, agentic workflows) that other teams can adopt. Target: at least one cross-cutting AI initiative shipped within twelve months.
• Product-engineering partnership: Build a high-functioning working relationship with the Principal Product Manager. Establish the operating rhythm, planning cadence, and decision-making framework that keeps the product line healthy as it scales.
• Vendor and partner management: Co-own the technical relationship with AI and computer vision vendors. Make build-vs-buy-vs-partner recommendations grounded in engineering reality, and hold partners accountable for delivery.
In this role, you can expect to
• Lead and grow a team of senior and staff engineers working on computer vision, AI-powered fan experiences, human-in-the-loop systems, and data infrastructure. Set expectations, remove blockers, and create a culture of ownership and shipping.
• Own the technical direction for PlayOn's streaming intelligence program. Make architecture decisions, set engineering standards, and ensure the team is building systems that scale to 250K+ concurrent live streams.
• Partner with the Principal Product Manager to translate product strategy into engineering execution. Co-own the roadmap, drive sprint and quarterly planning, and jointly manage scope, sequencing, and tradeoffs.
• Drive AI adoption and enablement across PlayOn's broader engineering organization. Identify opportunities to apply AI in search, recommendations, content generation, internal tooling, and other product areas.
• Manage external vendor and academic partner relationships on the engineering side. Evaluate capabilities, run technical assessments, negotiate integration approaches, and hold partners to their commitments.
• Represent engineering in cross-functional leadership forums. Communicate program status, risks, and resource needs to the CTO and broader leadership team with clarity and appropriate context.
• Recruit and retain top engineering talent. Build a hiring pipeline, run a rigorous interview process, and create a team environment where strong engineers want to stay and grow.
• Establish and maintain engineering processes that match the team's maturity: design reviews, RFC processes, on-call rotations, incident management, and production readiness standards.
To thrive in this role, you have
• 8+ years of software engineering experience with at least 3 years in engineering management, leading teams of senior and staff-level engineers.
• Experience shipping AI/ML-powered products in production. You understand the full lifecycle: model integration, evaluation, deployment, monitoring, and the human workflows that surround them.
• A track record of building and retaining high-performing engineering teams. You've hired senior talent, managed performance, and created team cultures that attract strong engineers.
• Strong technical foundation in Python, cloud-native architectures (AWS), and modern data infrastructure (Snowflake, Kafka, or similar). You're not writing code daily in this role, but you can go deep when it matters and your team respects your technical judgment.
• Experience partnering closely with product management to co-own a product line. You know how to run the planning, execution, and delivery cadence for a complex, multi-workstream program.
• Comfort with ambiguity and early-stage programs. You've built structure and momentum where none existed before, and you know how to make progress without waiting for everything to be defined.
• Strong communication skills. You can represent engineering to the CTO and executive team, translate technical complexity for business stakeholders, and create transparency around status, risks, and tradeoffs.
• Bonus: experience with computer vision or video processing at scale, sports domain knowledge, vendor/partner management, or a background in media and streaming.
How You Play
Ownership over Participation - You take responsibility for program-level outcomes. Streaming intelligence in production within six months, AI capabilities extending across PlayOn within twelve. You own the result, not just the effort.
Team over Stars - You build teams that are greater than the sum of their parts. You hire well, develop your people, and create the conditions for senior engineers to do career-defining work.
Growth over Comfort - You embrace the ambiguity of building AI capabilities in a domain where no established playbook exists. You drive the organization forward through experimentation, honest assessment, and a willingness to change direction when the evidence calls for it.
Fairness over Popularity - You evaluate tools, vendors, and approaches objectively. You make build-vs-buy-vs-partner recommendations grounded in evidence, and you give your team honest feedback even when it's hard.
PlayOn is where high school sports come to life. Through GoFan, NFHS Network, and MaxPreps, we give every fan a front-row seat to the moments that matter most: the buzzer-beaters, the comeback wins, the senior nights, the rivalries that define a town.
We built our technology for the people who live and breathe high school athletics - the parents who never miss a game, the alumni still cheering from across the country, the communities that show up week after week. From buying tickets to watching a live stream to reliving the highlights, we make it simple to stay close to the sports and the athletes you love most.
Backed by KKR, we build the technology that powers high school athletics from the inside out: Schools trust us to handle ticketing, streaming, fundraising, concessions, merchandise, and more so the people running programs can stay focused on the athletes and fans we all serve together.
We're a growth-stage company on a mission to make high school sports more accessible, more memorable, and more connected than ever before.
When being there means everything, we make sure you never miss a moment.
Why You'll Love Working at PlayOn
Product, potential, and people. We're a leader in the high school event space, constantly evolving our product to meet the needs of administrators. We focus on solving real challenges, learning quickly, and creating impactful solutions.
This is a growth-stage company, meaning your contributions have real impact. You'll have opportunities to grow your skills, tackle meaningful problems, and make a difference in the lives of schools and the students and fans they serve.
Our culture is built on accountability, collaboration, growth, and fairness. We don't just show up-we show up for each other. Everyone wears the same jersey, and we play hard, make the extra pass, and cheer one another on. Losses teach us, challenges motivate us, and persistence drives us forward. We value integrity over shortcuts, choosing to do what's right even when it's hard. Together, we strive to be better every day-because we know that's how we win as a team.
The Benefits We Offer
Multiple medical insurance plans to choose from
Dental, vision life and disability insurance
Employee Emergency Fund
Company equity (stock options)
Open PTO policy
401K plan with company match
Hybrid/flexible work environment
Note: Must be a full-time employee to participate in the company's employee health benefit plan. Part-time employees and interns are not eligible to participate.