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Evening Computer Vision Deep Learning Engineer Jobs

Sapios

Computer Vision Engineer

Sacramento, CA · On-site

$121K - $143K/yr

Strong background in computer vision, deep learning, or robotics. * Hands-on experience with ... Solid programming skills in Python (C++/Swift is a plus). * Experience with real-time systems or ...

New

dontwt.ai

DEEP LEARNING ENGINEER

Windham, ME · On-site

$90 - $130/hr

We are seeking a talented and driven Deep Learning Engineer to join our team and play a critical ... in computer vision or natural language processing. Contribute to the development of internal tools ...

New

Qualcomm

Computer Vision System Engineer

San Diego, CA · On-site

Engineering Group, Engineering Group > Video Systems, HW Architecture General Summary: Qualcomm ... The team develops next-generation mobile computer vision and deep learning solutions for imaging ...

Hayden AI

Deep Learning Engineer

San Francisco, CA · On-site

$161K - $175K/yr

About Us At Hayden AI, we are on a mission to harness the power of computer vision to transform the ... About the Role As a Deep Learning Engineer at Hayden, you will make key contributions towards ...

Norbert Health

Computer Vision/ML Engineer

Brooklyn, NY · On-site

$121K - $142K/yr

... a lead deep learning engineer to spearhead the development of their groundbreaking sensing ... Responsibilities : • Design, fine-tune, and deploy computer vision models (YOLO, InsightFace ...

Hayden AI

Staff Deep Learning Engineer

San Francisco, CA · On-site

$230K - $299K/yr

About Us At Hayden AI, we are on a mission to harness the power of computer vision to transform the ... About the Role As a Staff Deep Learning Engineer in the Deep Learning team at Hayden, you are a ...

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Evening Computer Vision Deep Learning Engineer information

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

As of Sep 2, 2026, the average yearly pay for evening 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 Evening Computer Vision Deep Learning Engineer vs Computer Vision Deep Learning Engineer?

AspectEvening Computer Vision Deep Learning EngineerComputer Vision Deep Learning Engineer
Required CredentialsBachelor's or Master's in CS, AI, or related fields; experience with deep learning frameworksBachelor's or Master's in CS, AI, or related fields; experience with deep learning frameworks
Work EnvironmentTypically evening or night shifts, often in research labs or tech companiesStandard daytime hours, in offices or remote settings
Industry UsageUsed in industries with 24/7 operations like surveillance, security, or manufacturingCommon across tech, automotive, healthcare, and research sectors

The main difference lies in work hours and shift timing. Evening Computer Vision Deep Learning Engineers work primarily during evening or night shifts, often in environments requiring 24/7 monitoring or operations. In contrast, Computer Vision Deep Learning Engineers usually work standard daytime hours. Both roles require similar skills and educational backgrounds, but their schedules and work environments differ significantly.

More about Evening Computer Vision Deep Learning Engineer jobs

What cities are hiring for Evening Computer Vision Deep Learning Engineer jobs?

Cities with the most Evening Computer Vision Deep Learning Engineer job openings:

What are the most commonly searched types of Computer Vision Deep Learning Engineer jobs?

The most popular types of Computer Vision Deep Learning Engineer jobs are:

What states have the most Evening Computer Vision Deep Learning Engineer jobs?

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What job categories do people searching Evening Computer Vision Deep Learning Engineer jobs look for?

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Evening Computer Vision Deep Learning Engineer jobs near you
Infographic showing various Evening Computer Vision Deep Learning Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 16% Part Time, and 5% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $121,515 per year, or $58.4 per hour.

Computer Vision Engineer

Sapios

Sacramento, CA • On-site

$121K - $143K/yr

Other

Medical

Posted 2 days ago

New

Job description

Sapios is building the future of automated driver evaluation systems. Our flagship invention – the Automated Road Test System (ARTS) – transforms an iPhone into a robotic driving examiner using computer vision, AI, and robotics. With deployments and paid pilots already underway with the Department of Motor Vehicles across US and Sweden, QTPIE is on a mission to make road testing safer, fairer, and more data-driven.


Our technology also has exciting applications in insurance, healthcare, and robotics – and we’re just getting started.


Role: Computer Vision Engineer

Location: USA only.


We’re looking for a passionate Computer Vision Engineer to join our core engineering team. You’ll work on algorithms that power the ARTS platform: from object detection and scene understanding to sensor fusion and behavioral analysis. Your work will directly impact how millions of drivers are tested and evaluated globally.


What You’ll Do


  • Design, implement, and optimize computer vision pipelines (object detection, lane detection, sign recognition, behavior recognition).
  • Develop methods to fuse data from multiple sensors (video, IMU, GPS, LiDAR).
  • Contribute to real-time inference systems on mobile devices (iPhone + GPU acceleration).
  • Collaborate with AI researchers and robotics engineers to integrate vision into the ARTS platform.
  • Work with large-scale datasets of driving behavior and create scalable training/evaluation pipelines.
  • Publish and present work internally and externally (patents, research collaborations).


What We’re Looking For


  • Strong background in computer vision, deep learning, or robotics.
  • Hands-on experience with PyTorch, TensorFlow, or ONNX.
  • Experience with object detection/tracking (YOLO, DETR, etc.) and scene understanding.
  • Solid programming skills in Python (C++/Swift is a plus).
  • Experience with real-time systems or edge deployment (CoreML, TFLite, ONNX Runtime, NVIDIA GPUs).
  • A problem-solver mindset: comfortable working on ambiguous, high-impact projects.


Bonus Points For


  • Experience in autonomous driving, ADAS, or driver monitoring systems.
  • Familiarity with sensor fusion (IMU, GPS, LiDAR + video).
  • Experience deploying ML pipelines to cloud environments (GCP, AWS, Azure).
  • Contributions to open-source projects in CV/ML.


Why Join Us?


  • Be part of a once-in-a-generation innovation redefining road safety.
  • Work in a fast-growing startup with traction across the US and Europe.
  • Collaborate with a team of AI, robotics, and medical innovators.
  • Flexible hybrid/remote setup.
  • Competitive salary + equity options.


How to Apply


Send your CV, portfolio/GitHub, and a short note about why you’d like to join QTPIE to ravi@sapios.io.


Sapios is an equal opportunity employer. We celebrate diversity and are committed to building an inclusive environment for all employees.

Apply