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Full Time Computer Vision Deep Learning Engineer Jobs

Occulytics Inc.

Deep Learning Engineer

They are seeking a Deep Learning Engineer to build and deploy cutting-edge deep learning models that transform market intelligence and drive data-driven decision making across the industry.

Norbert Health

Computer Vision/ML Engineer

New York, NY · On-site

$122K - $143K/yr

The position We are looking for our lead deep learning engineer to spearhead the development of our ... What you will do: * Design, fine-tune, and deploy computer vision models (YOLO, InsightFace ...

Clarapath Inc

Computer Vision Engineer

Hawthorne, NY

$130K - $180K/yr

Computer Vision Engineer LOCATION: Hawthorne, NY (on-site) TYPE : Full time, regular COMPENSATION ... Develop and deploy machine learning and deep learning models for image analysis and automated ...

New

Bot Auto

Intern, Deep Learning Engineer

Houston, TX · On-site

$14.25 - $19/hr

... Deep Learning, Computer Vision, Robotics, or related fields. * Technical Stack: Proficient in ... Available full-time for at least 3 months. Preferred: * Research Focus: Academic thesis or project ...

Bot Auto

Intern, Deep Learning Engineer

Houston, TX · On-site

$14.25 - $19/hr

... Deep Learning, Computer Vision, Robotics, or related fields. * Technical Stack: Proficient in ... Available full-time for at least 3 months. Preferred: * Research Focus: Academic thesis or project ...

Quidient

Staff Deep Learning Engineer

Columbia, MD · On-site

$185K - $235K/yr

Overview We are seeking a Staff Deep Learning Research Engineer to design, build, and train novel ... computer vision (CVPR, NeurIPS, ICLR, ICML, SIGGRAPH, or similar). * Experience designing ...

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Full Time Computer Vision Deep Learning Engineer information

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$48.5K

$121.5K

$137.5K

How much do full time computer vision deep learning engineer jobs pay per year?

As of Sep 10, 2026, the average yearly pay for full time computer vision deep learning engineer in the United States is $121,515.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,500.00 and $131,500.00 per year, depending on experience, location, and employer.

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

AspectFull Time Computer Vision Deep Learning EngineerMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, AI, or related; experience with CV and DL frameworksBachelor's or Master's in CS, Data Science, or related; strong programming skills
Work EnvironmentResearch labs, tech companies, AI startups focusing on visual dataTech firms, finance, healthcare, focusing on predictive models
Industry UsagePrimarily in computer vision, robotics, autonomous vehiclesBroader, including NLP, recommendation systems, predictive analytics

The main difference is that Full Time Computer Vision Deep Learning Engineers specialize in visual data analysis using deep learning, while Machine Learning Engineers work on a wider range of predictive models across various data types. Both roles require strong programming skills and knowledge of ML frameworks, but their focus areas and applications differ.

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Full Time Computer Vision Deep Learning Engineer jobs near you
Infographic showing various Full Time Computer Vision Deep Learning Engineer job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 77% Full Time, 16% Part Time, and 6% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $121,515 per year, or $58.4 per hour.

Deep Learning Engineer

Remote

Occulytics Inc.
See more jobs at Occulytics Inc.external

Full-time

Re-posted 17 days ago

Job description

Job Summary:
Occulytics Inc. is an innovative startup on a mission to fundamentally change the senior living industry. They are seeking a Deep Learning Engineer to build and deploy cutting-edge deep learning models that transform market intelligence and drive data-driven decision making across the industry.
Responsibilities:
• Design, implement, and optimize deep learning architectures for predictive modeling, market forecasting, customer segmentation, and lead scoring to extract actionable insights from complex demographic and behavioral datasets in the senior living industry.
• Build robust, scalable data pipelines for training and inference, ensuring efficient data preprocessing, feature engineering, and model deployment workflows that handle large-scale healthcare and demographic datasets.
• Stay current with latest developments in deep learning research, experiment with novel architectures and techniques, and translate cutting-edge academic research into practical solutions for senior living market intelligence.
• Deploy models to production environments with monitoring, versioning, and automated retraining capabilities. Collaborate with engineering teams to integrate ML capabilities into customer-facing products and internal analytics platforms.
• Partner with data scientists, product managers, and domain experts to understand business requirements, translate them into technical specifications, and communicate model performance and insights to non-technical stakeholders.
Qualifications:
Required:
• 3+ years of hands-on experience developing and deploying deep learning models in production environments.
• Strong portfolio of ML projects demonstrating technical depth and practical application.
• Proficiency in Python and deep learning frameworks (PyTorch, TensorFlow).
• Experience with cloud platforms (AWS, GCP, Azure), containerization (Docker, Kubernetes), and MLOps tools (MLflow, Weights & Biases, or similar).
• Strong mathematical foundation in statistics, linear algebra, and optimization.
• Proven experience with predictive modeling, segmentation algorithms, and forecasting techniques.
• Ability to work with complex demographic and behavioral datasets and optimize model performance for production deployment.
• Excellent written and verbal communication skills with ability to explain complex technical concepts to business stakeholders and contribute to technical documentation and knowledge sharing.
Preferred:
• Experience with predictive analytics, consumer behavior modeling, or demographic analysis.
• Background in market research, business intelligence, or customer analytics.
Company:
Occulytics provides AI-powered solutions built exclusively for senior living sales and marketing. Founded in 2024, the company is headquartered in Chicago, USA, with a team of 2-10 employees. The company is currently Early Stage.

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