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Computer Vision Object Detection Jobs (NOW HIRING)

eStaffLLC

Senior Software Developer Specialist

Austin, TX

$54 - $71.25/hr

Computer Vision Production CV experience with PyTorch/TensorFlow, OpenCV, YOLO, object detection, segmentation, or real-time inference. MLOPS & INFRASTRUCTURE MLOps Tools: Production experience with ...

eStaffLLC

Senior Software Developer Specialist

Austin, TX · On-site

$51.50 - $68/hr

Computer Vision Production CV experience with PyTorch/TensorFlow, OpenCV, YOLO, object detection, segmentation, or real-time inference. MLOPS & INFRASTRUCTURE MLOps Tools: Production experience with ...

eStaffLLC

Senior Software Developer Specialist

Austin, TX · On-site

$54 - $71.25/hr

Computer Vision * Production CV experience with PyTorch/TensorFlow, OpenCV, YOLO, object detection, segmentation, or real-time inference. MLOPS & INFRASTRUCTURE * MLOps Tools: Production experience ...

eStaffLLC

Senior Software Developer Specialist

Austin, TX · On-site

$54 - $71.25/hr

Computer Vision Production CV experience with PyTorch/TensorFlow, OpenCV, YOLO, object detection, segmentation, or real-time inference. MLOPS & INFRASTRUCTURE MLOps Tools: Production experience with ...

eStaffLLC

Senior Software Developer Specialist

Austin, TX · On-site

$56.50 - $74.75/hr

Computer Vision Production CV experience with PyTorch/TensorFlow, OpenCV, YOLO, object detection, segmentation, or real-time inference. MLOPS & INFRASTRUCTURE MLOps Tools: Production experience with ...

eStaffLLC

Senior Software Developer Specialist

Austin, TX · On-site

$52 - $68.75/hr

Computer Vision Production CV experience with PyTorch/TensorFlow, OpenCV, YOLO, object detection, segmentation, or real-time inference. MLOPS & INFRASTRUCTURE MLOps Tools: Production experience with ...

Babel Street

Image & Computer Vision AI Engineer

Reston, VA · On-site

$119K - $143K/yr

Develop and support object detection, image similarity, and scene understanding models ... Hands-on experience with computer vision models and techniques (e.g., CNNs, transformers for vision ...

eStaffLLC

Senior Software Developer Specialist

Austin, TX · On-site

$54 - $71.25/hr

Computer Vision Production CV experience with PyTorch/TensorFlow, OpenCV, YOLO, object detection, segmentation, or real-time inference. MLOPS & INFRASTRUCTURE MLOps Tools: Production experience with ...

eStaffLLC

Senior Software Developer Specialist

Austin, TX · On-site

$53 - $70.25/hr

Computer Vision Production CV experience with PyTorch/TensorFlow, OpenCV, YOLO, object detection, segmentation, or real-time inference. MLOPS & INFRASTRUCTURE MLOps Tools: Production experience with ...

eStaffLLC

Senior Software Developer Specialist

Austin, TX · On-site

$54 - $71.25/hr

Computer Vision Production CV experience with PyTorch/TensorFlow, OpenCV, YOLO, object detection, segmentation, or real-time inference. MLOPS & INFRASTRUCTURE MLOps Tools: Production experience with ...

eStaffLLC

Senior Software Developer Specialist

Austin, TX · On-site

$54 - $71.25/hr

Computer Vision Production CV experience with PyTorch/TensorFlow, OpenCV, YOLO, object detection, segmentation, or real-time inference. MLOPS & INFRASTRUCTURE MLOps Tools: Production experience with ...

eStaffLLC

Senior Software Developer Specialist

Austin, TX

$54 - $71.25/hr

Computer Vision * Production CV experience with PyTorch/TensorFlow, OpenCV, YOLO, object detection, segmentation, or real-time inference. MLOPS & INFRASTRUCTURE * MLOps Tools: Production experience ...

eStaffLLC

Senior Software Developer Specialist

Austin, TX · On-site

$53 - $70/hr

Computer Vision Production CV experience with PyTorch/TensorFlow, OpenCV, YOLO, object detection, segmentation, or real-time inference. MLOPS & INFRASTRUCTURE MLOps Tools: Production experience with ...

eStaffLLC

Senior Software Developer Specialist

Austin, TX · On-site

$54 - $71.25/hr

Computer Vision Production CV experience with PyTorch/TensorFlow, OpenCV, YOLO, object detection, segmentation, or real-time inference. MLOPS & INFRASTRUCTURE MLOps Tools: Production experience with ...

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All JobsComputer Vision Object Detection Jobs

Computer Vision Object Detection information

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$18

$53

$76

How much do computer vision object detection jobs pay per hour?

As of Jun 11, 2026, the average hourly pay for computer vision object detection in the United States is $53.11, according to ZipRecruiter salary data. Most workers in this role earn between $41.11 and $68.51 per hour, depending on experience, location, and employer.

What is Computer Vision Object Detection?

Computer Vision Object Detection is a field within artificial intelligence and computer science that focuses on enabling computers to identify and locate objects within digital images or videos. Using advanced algorithms and deep learning models, object detection systems can recognize multiple objects, determine their positions, and classify them into predefined categories. Applications of object detection include autonomous vehicles, surveillance systems, medical imaging, and retail analytics. Its effectiveness depends on the quality and diversity of the training data, as well as the complexity of the algorithms used.

Is CV a part of ML?

Computer Vision (CV) is a field within artificial intelligence that often overlaps with machine learning (ML). Many CV applications, such as object detection, rely on ML algorithms like deep learning to analyze and interpret visual data. Professionals in computer vision frequently use ML frameworks like TensorFlow or PyTorch to develop models.

Is computer vision a dead field?

Computer vision object detection remains a highly active area within AI, with ongoing research and industry applications such as autonomous vehicles, security, and healthcare. Professionals in this field use skills in deep learning, neural networks, and tools like OpenCV and TensorFlow, and demand continues to grow as technology advances.

Is Yolo considered AI?

YOLO (You Only Look Once) is a real-time object detection algorithm used in computer vision, which is a subset of artificial intelligence. As part of computer vision tasks, it employs machine learning techniques to identify and classify objects in images or videos, making it a form of AI technology relevant to roles like computer vision object detection.

What are the key skills and qualifications needed to thrive as a Computer Vision Object Detection specialist, and why are they important?

To thrive in Computer Vision Object Detection, you need strong programming skills (especially in Python), a solid background in machine learning and deep learning, and typically a degree in computer science or a related field. Familiarity with frameworks like TensorFlow, PyTorch, and OpenCV, as well as experience using annotation tools and cloud platforms, is crucial. Strong problem-solving ability, attention to detail, and effective communication skills help you design robust models and collaborate with multidisciplinary teams. These skills are essential for developing accurate and efficient object detection systems that address real-world challenges in industries like automotive, healthcare, and security.

Is ML a high paying job?

Machine learning (ML) roles, including those in computer vision object detection, are generally well-paid due to high demand for specialized skills such as programming, data analysis, and experience with frameworks like TensorFlow or PyTorch. Salaries vary based on experience, location, and industry, but professionals with advanced skills in ML can earn competitive compensation packages. Certifications and a strong portfolio can also enhance earning potential in this field.

How does a Computer Vision Object Detection specialist typically collaborate with software engineers and data scientists on projects?

In most organizations, Computer Vision Object Detection specialists work closely with software engineers and data scientists to integrate detection models into larger applications. They often collaborate on data collection and annotation, model training and tuning, and deploying solutions at scale. Regular cross-functional meetings and code reviews are common, ensuring that models meet performance requirements and align with broader product goals. Effective communication and teamwork are essential, as the role often involves translating technical model outputs into actionable insights for various stakeholders.
Infographic showing various Computer Vision Object Detection job openings in the United States as of June 2026, with employment types broken down into 82% Full Time, 14% Part Time, 2% Contract, and 2% Nights. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $110,464 per year, or $53.1 per hour.
Senior Staff TLM, Perception, Object Detection

Senior Staff TLM, Perception, Object Detection

Waymo

Mountain View, CA • On-site, Remote

$281K - $356K/yr

Other

Posted 3 days ago

Job description

Senior Staff TLM, Perception, Object Detection

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.

The Perception team builds the system which learns the spatial-temporal representation and their semantic meanings of the surrounding environment of the self-driving car, i.e., the system that "perceives" the world around the car. We work jointly with downstream teams on the optimization and integration into the Waymo Driver. We conduct our own research to address real-world problems and collaborate with research teams at Alphabet. We have access to millions of miles of driving data from a diverse set of sensors, enabling engineers like you to (1) develop methods for efficiently and continuously learning from large scale real-world data, to (2) develop models and model training at scale, to (3) analyze real-world behavior and develop systems for handling the complexities of interacting with the real-world, and (4) optimize models for our onboard and offboard hardware.

In this hybrid role you will report to a Sr Staff Technical Lead Manager.

You will:

  • Own object detection quality, work with product and safety partners on short- and long-term improvement goals in support of Waymo's scaling goals
  • Develop and execute technical roadmaps to achieve object detection quality goals
  • Leads the analysis of real-world object detection issues, and develops technical requirements for improving object detection quality
  • Build resilient and high performing teams through people development and hiring,
  • Contribute to the development of technical roadmaps, (defining team OKRs, developing believable plans to achieve the OKRs), and drive the roadmap execution
  • Make project staffing decisions, technical decisions, drive escalations; ultimately accountable for delivering projects

You have:

  • Bachelors in Computer Science or a similar discipline, or an equivalent amount of deep learning experience
  • 5+ years experience in Machine Learning and/or Computer Vision
  • 3+ year in managing ML engineering or research teams
  • Experience with Python
  • Experience with ML frameworks like PyTorch or JAX

We Prefer:

  • MS or PhD Degree in Machine Learning, Robotics, Computer Science or a similar discipline
  • Publications at top-tier conferences like CVPR, ICCV, ECCV, ICLR, ICML, ICRA, RSS, NeurIPS, AAAI, IJCV, PAMI
  • Experience with C++
  • Experience with real-time system design

The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.

Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.

Salary Range $281,000—$356,000 USD

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