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Senior Computer Vision Jobs in Atlanta, GA (NOW HIRING)

The Senior Data Scientist is responsible for leading data science initiatives that drive business ... as optimization, computer vision, Multimodal AI, Conversational AI, Information Retrieval ...

Senior, Cost Accounting

Atlanta, GA · On-site

$86K - $112K/yr

... computer vision, sensor fusion, and networking technology to the military in months, not years ... ABOUT THE TEAM We are seeking an exceptional Senior, Cost Accounting to execute full stack cost ...

Sr Advanced AI Engineer

Atlanta, GA

$100K - $138K/yr

NLP, time-series forecasting, computer vision, or reinforcement learning. * Ability to build models with noisy or sparsely labeled datasets. * Experience using MLflow or similar tools for tracking ...

Sr Advanced AI Engineer

Atlanta, GA · On-site

$100K - $138K/yr

NLP, time-series forecasting, computer vision, or reinforcement learning. * Ability to build models with noisy or sparsely labeled datasets. * Experience using MLflow or similar tools for tracking ...

Sr Advanced AI Engineer

Atlanta, GA · On-site

$100K - $138K/yr

NLP, time-series forecasting, computer vision, or reinforcement learning. * Ability to build models with noisy or sparsely labeled datasets. * Experience using MLflow or similar tools for tracking ...

... computer vision, data science & analytics, distributed systems, cloud, edge & mobile computing, computer networking, and IoT. Dolby is looking for a talented Senior AI Researcher to join Dolby ...

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Showing results 1-20

Senior Computer Vision information

See Atlanta, GA salary details

$24K

$77.2K

$157.2K

How much do senior computer vision jobs pay per year?

As of Jul 15, 2026, the average yearly pay for senior computer vision in Atlanta, GA is $77,209.00, according to ZipRecruiter salary data. Most workers in this role earn between $39,900.00 and $99,000.00 per year, depending on experience, location, and employer.

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

To thrive as a Senior Computer Vision Engineer, you need deep expertise in computer vision algorithms, machine learning, and a strong background in mathematics or computer science, usually supported by an advanced degree. Mastery of programming languages like Python or C++, and experience with frameworks such as OpenCV, TensorFlow, or PyTorch, as well as familiarity with cloud platforms and GPU computing, are typically required. Strong problem-solving abilities, effective communication, and the ability to collaborate across interdisciplinary teams are vital soft skills. These competencies are crucial for developing innovative vision solutions, ensuring project success, and translating complex technical concepts for diverse stakeholders.

What does a Senior Computer Vision Engineer do?

A Senior Computer Vision Engineer designs and implements algorithms that enable computers to interpret and process visual data from the world, such as images and videos. They work on tasks like object detection, image classification, and facial recognition, often using machine learning and deep learning techniques. Senior-level professionals also lead projects, mentor junior engineers, and help integrate computer vision solutions into products or services. Their expertise is critical in industries like autonomous vehicles, healthcare, robotics, and security.

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

Senior Computer Vision Engineers frequently encounter challenges such as ensuring model robustness under real-world conditions, optimizing inference speed for large-scale deployments, and managing diverse data quality issues. Additionally, integrating computer vision models into existing software systems often requires close collaboration with backend engineers and DevOps teams to maintain reliable, scalable pipelines. Addressing these obstacles typically involves rigorous testing, ongoing model monitoring, and iterative improvement to ensure accuracy and performance in dynamic environments.
What are the most commonly searched types of Computer Vision jobs in Atlanta, GA? The most popular types of Computer Vision jobs in Atlanta, GA are:
What are popular job titles related to Senior Computer Vision jobs in Atlanta, GA? For Senior Computer Vision jobs in Atlanta, GA, the most frequently searched job titles are:
Sr. Principal Data Scientist

Sr. Principal Data Scientist

Warner Bros. Discovery

Atlanta, GA • On-site

Full-time

Posted 27 days ago


Warner Bros. Discovery rating

8.1

Company rating: 8.1 out of 10

Based on 53 frontline employees who took The Breakroom Quiz

15th of 67 rated media


Job description

Welcome to Warner Bros. Discovery... the stuff dreams are made of.
Who We Are...
When we say, "the stuff dreams are made of," we're not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD's vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what's next...
From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive.
Your New Role:
As a Sr. Principal Data Scientist, you will operate at the highest technical individual-contributor level at Warner Bros. Discovery-serving as a company-wide authority in advanced Data Science, Machine Learning, and Applied AI.
This role is designed for an elite practitioner with 15-18+ years of experience, including 10-14 years of deep, hands-on expertise in Data Science, ML, and AI systems at enterprise scale. Unlike leadership or management roles, this position is purely an IC role, focused on technical depth, architectural rigor, and scientific excellence, without formal people-management responsibilities.
You will design, architect, and deliver some of WBD's most complex and business-critical AI systems, directly influencing how the company creates, distributes, personalizes, monetizes, and optimizes content across streaming, linear TV, advertising, and direct-to-consumer platforms.
This is a hands-on, high-impact role for a technologist who thrives on solving unsolved problems, pushing the boundaries of applied ML, and translating advanced science into durable business advantage.
1. Enterprise-Grade Applied AI & ML Leadership (IC)
  • Act as one of WBD's most senior technical ICs in Data Science and Machine Learning.
  • Lead the end-to-end design and implementation of advanced ML systems across:
    • Content intelligence & metadata enrichment
    • Audience modelling & personalization
    • Forecasting, optimization, and experimentation
    • Advertising intelligence & monetization analytics
  • Set technical direction and standards for complex ML implementations without direct people management.

2. Advanced Modelling & Scientific Excellence
  • Design and implement state-of-the-art models, including:
    • Large-scale recommender systems
    • Time-series forecasting & probabilistic models
    • Causal inference, experimentation & uplift modelling
    • NLP, generative AI & multimodal ML systems
    • Computer vision & video intelligence pipelines
  • Apply rigorous statistical thinking, experimentation discipline, and scientific validation to all solutions.
  • Serve as a final technical reviewer for high-risk or high-impact ML solutions.

3. Architecture of Scalable ML Systems
  • Architect production-grade ML systems integrated with WBD's cloud data ecosystem (AWS, Snowflake, GCP).
  • Define best practices for:
    • Feature engineering & feature stores
    • Model lifecycle management & MLOps
    • CI/CD for ML, model monitoring, and drift detection
    • Reproducibility, governance, and responsible AI
  • Partner deeply with data engineering, platform, and product engineering teams to ensure scalable, resilient delivery.

4. High-Impact Business Problem Solving
  • Own and deliver mission-critical AI solutions across:
    • Content performance prediction & ratings intelligence
    • Marketing attribution & lifecycle analytics
    • Search, discovery & ranking systems
    • Ad load optimization & pricing intelligence
    • Operational forecasting & automation
  • Translate complex modelling outputs into clear, executive-ready insights that drive decisions.

5. Executive & Cross-Functional Influence (Without Line Management)
  • Serve as a trusted technical advisor to senior leaders across Streaming, Content, Ad Sales, Marketing, and Technology.
  • Communicate complex ML concepts with clarity and credibility to non-technical stakeholders.
  • Influence enterprise AI roadmaps, architectural decisions, and investment priorities through expertise-not hierarchy.

6. Technical Mentorship & Community Leadership
  • Mentor senior and staff-level data scientists through technical guidance, design reviews, and deep problem-solving.
  • Contribute to internal AI communities of practice, technical forums, and standards bodies.
  • Elevate overall engineering and scientific rigor across the Data Science organization.

Qualifications & Experiences:
  • Master's or Ph.D. in Computer Science, Machine Learning, Data Science, Statistics, Mathematics, Operations Research, or related disciplines.
  • 18-20 years of total experience, with 13-15 years in Data Science/ML, including hands-on technical leadership.
  • Deep expertise in:
    • Predictive modeling, optimization, and advanced ML techniques
    • MLOps and large-scale model deployment
    • Modern cloud ecosystems (AWS/GCP/Snowflake)
    • Python, PyTorch, TensorFlow, SQL, ML frameworks
    • Experiment design, causal inference, and statistical modeling
  • Demonstrated experience in Media & Entertainment, streaming, digital advertising, or consumer intelligence.
  • Strong track record of delivering enterprise-impact through AI solutions.
  • Exceptional communication skills, including the ability to influence executives and inspire technical teams.

Preferred
  • Experience developing or customizing Large Language Models or multimodal foundation models.
  • Patent, publication, or conference-track record in ML/AI.
  • Experience with video intelligence, CV for media workflows, or content metadata systems.
  • Experience partnering with product and engineering organizations in a fast-paced environment.

How We Get Things Done...
This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview.
Championing Inclusion at WBD
Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity or expression, age, mental or physical disability, and genetic information, marital status, citizenship status, military status, protected veteran status or any other category protected by law.
If you're a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request.

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