ZipRecruiter

Log In

2

Full Time Computer Vision Deep Learning Engineer Jobs

digitalglobalservices

Computer Vision Engineer

Little Rock, AR · On-site +1

$106.90K - $126.10K/yr

Remote / On-site / Flexible Employment Type: Full-time Job Summary We are seeking a skilled ... Train and optimize deep learning models using frameworks like TensorFlow or PyTorch. Work with ...

XPENG

Senior Computer Vision Engineer

Santa Clara, CA · On-site

$143.80K - $189.60K/yr

We are seeking a talented Computer Vision / Machine Learning Engineer to develop and optimize multi ... with deep learning frameworks (e.g., PyTorch, TensorFlow) and computer vision libraries (e.g ...

next page

Showing results 1-20

People also search for

All JobsFull Time Computer Vision Deep Learning Engineer Jobs

Full Time Computer Vision Deep Learning Engineer information

See salary details

$48.5K

$121.5K

$137.5K

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

As of May 30, 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.

More about Full Time Computer Vision Deep Learning Engineer jobs
What cities are hiring for Full Time Computer Vision Deep Learning Engineer jobs? Cities with the most Full Time 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 job categories do people searching Full Time Computer Vision Deep Learning Engineer jobs look for? The top searched job categories for Full Time Computer Vision Deep Learning Engineer jobs are:
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 May 2026, with employment types broken down into 3% As Needed, 25% Full Time, 69% Part Time, and 3% Contract. Highlights an 75% Physical, 8% Hybrid, and 17% Remote job distribution, with an average salary of $121,515 per year, or $58.4 per hour.
Senior Machine Learning Engineer, Perception

Senior Machine Learning Engineer, Perception

PlusAI

Santa Clara, CA

$122.70K - $168.50K/yr

Full-time

Posted 21 days ago

Job description

We are seeking a highly skilled Machine Learning Engineer with deep expertise in developing Bird’s Eye View (BEV) fusion models using multimodal sensor inputs, particularly LiDAR. You will play a central role in designing scalable perception algorithms that integrate data from camera, LiDAR, and radar sensors to support autonomous driving and 3D scene understanding.
Responsibilities:
  • Design, implement, and optimize BEV-based perception models that fuse camera, LiDAR, and radar inputs.
  • Benchmark perception models using large-scale datasets and well-defined quantitative metrics.
  • Collaborate cross-functionally with research, data, and deployment engineers to refine models and support real-world applications.
  • Maintain a strong focus on performance, robustness, and scalability for deployment in production systems.
  • Ensure that your work is performed in accordance with the company’s Quality Management System (QMS) requirements and contribute to continuous improvement efforts.
  • Ensure team compliance with QMS, monitor quality, and drive process improvements.
Required Skills:
  • Ph.D. or Masters in AI, Computer Science, Electrical Engineering, Robotics, or a related field.
  • Ph.D. new grad or Masters + 3 years industry experience
  • Proficiency in Python and experience building deep learning pipelines.
  • Strong expertise in PyTorch, TensorFlow, or JAX.
  • Proven experience with LiDAR-based 3D perception and BEV representation models
  • Deep understanding of multimodal sensor fusion architectures and techniques.
  • Familiarity with camera, LiDAR, and radar modalities and their synchronization, calibration, and integration in perception pipelines.
  • Solid foundation in computer vision, deep learning, and 3D geometry.
Preferred Skills:
  • Industry or academic experience in autonomous vehicle perception, robotics, or related areas.
  • Hands-on experience developing deep learning models in real-world or production environments.
  • Experience with distributed training, high-performance computing, or GPU acceleration.
Our compensations (cash and equity) are determined based on the position, your location, qualifications, and experience.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.