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Machine Learning Object Detection Jobs in Atlanta, GA

Slip Robotics

Robotics Perception Engineer

Atlanta, GA · On-site +1

... object detection, segmentation, localization, and mapping * Integrate and calibrate LiDAR, depth ... Familiarity with machine learning frameworks (PyTorch, TensorFlow) for perception tasks * Track ...

Elite WorkForce Inc

Data Scientist at GA

Atlanta, GA · On-site

Develop and deploy machine learning models for fraud detection. * Collaborate with engineering and compliance teams for real-time solutions. * Design KPIs to assess model performance and improve ...

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$30.3K

$123.8K

$186.1K

How much do machine learning object detection jobs pay per year?

As of May 29, 2026, the average yearly pay for machine learning object detection in Atlanta, GA is $123,832.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,600.00 and $149,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Machine Learning Object Detection Engineer, and why are they important?

To excel as a Machine Learning Object Detection Engineer, you need a solid background in computer science, mathematics, and deep learning principles, often backed by a relevant degree and experience in computer vision. Familiarity with frameworks like TensorFlow, PyTorch, and OpenCV, as well as experience with annotation tools and GPU computing, is typically required. Strong problem-solving abilities, attention to detail, and effective communication are vital soft skills for collaborating with cross-functional teams and addressing complex challenges. These competencies ensure accurate model development, efficient deployment, and continual improvement of object detection systems in real-world applications.

What are some common challenges faced when working on machine learning object detection projects?

One of the main challenges in machine learning object detection roles is dealing with the quality and quantity of annotated data, as accurate labeling is essential for model performance. Another common challenge is managing variations in object scale, lighting, and occlusion within real-world images, which can affect detection accuracy. Additionally, balancing model accuracy with computational efficiency—especially for real-time applications—often requires careful model selection and optimization. Collaboration with data engineers and domain experts is also typical to ensure data relevance and model applicability.

What is machine learning object detection?

Machine learning object detection is a field within artificial intelligence that focuses on identifying and locating objects within images or videos. It uses algorithms and deep learning models, such as convolutional neural networks (CNNs), to analyze visual data and predict the presence and position of various objects. Object detection is widely used in applications like autonomous vehicles, security surveillance, and image search. The process typically involves training models on labeled datasets so they can accurately detect and classify multiple objects in complex scenes.
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Machine Learning Object Detection jobs near you
Robotics Perception Engineer

Robotics Perception Engineer

Slip Robotics

Atlanta, GA

Full-time

Medical, Dental, Vision

Posted 12 days ago

Job description

About Slip Robotics

Slip Robotics is transforming freight logistics with autonomous robotic systems that load and unload trailers faster, safer, and more reliably than traditional methods. Our robots operate in demanding real-world environments alongside people and heavy cargo every day. We are a small, high-impact team based in Atlanta building products that are already deployed in production.

The Role

We are looking for a Robotics Perception Engineer to own the sensing and perception stack on our autonomous mobile robots. You will work across LiDAR, cameras, IMUs, and other sensor modalities to give our robots a reliable understanding of their environment-including trailers, pallets, dock infrastructure, and people. This is a hands-on role where your work ships to production robots operating in live freight facilities.

We need someone who has shipped software on real robots at real customer sites. You should have experience deploying perception systems that work reliably in unstructured or semi-structured environments, and you should be comfortable debugging sensor issues on physical hardware.

Key Responsibilities
  • Design, implement, and maintain the perception pipeline for autonomous mobile robots, including object detection, segmentation, localization, and mapping
  • Integrate and calibrate LiDAR, depth cameras, and other sensors on production robot platforms
  • Develop robust point cloud processing and filtering for reliable operation
  • Build and maintain sensor fusion systems that combine multiple modalities for accurate environment understanding
  • Create and manage datasets for perception model training, validation, and regression testing
  • Collaborate closely with navigation, controls, and hardware teams to ensure perception outputs meet downstream requirements
  • Debug and resolve perception failures on deployed robots using logs, recorded sensor data, and on-site investigation
  • Contribute to CI/CD pipelines for perception software testing and deployment

Requirements

  • 5+ years of professional experience building perception systems for physical robots at a robotics or autonomous vehicle company
  • Strong proficiency in C++ and Python
  • Deep experience with LiDAR processing (point cloud filtering, clustering, registration, SLAM)
  • Hands-on experience with camera-based perception
  • Production experience with ROS or ROS 2
  • Experience with sensor calibration (intrinsic, extrinsic, multi-sensor)
  • Familiarity with machine learning frameworks (PyTorch, TensorFlow) for perception tasks
  • Track record of deploying perception software to real robots in real environments-not just simulation
  • Strong debugging skills and comfort working with physical hardware
  • Excellent communication skills and ability to work in a small, fast-moving team
Nice to Have
  • Master's degree or higher in Computer Science, Robotics, or a related field
  • Experience with AWS IoT, Greengrass, or similar edge-cloud architectures
  • Experience in logistics, warehousing, or freight environments
  • Background in Gazebo or other physics simulation for sensor modeling
Remote Work Requirements

This role can be filled remotely. Remote team members are expected to have reliable high-speed internet access and a dedicated workspace. You will need to travel to our Atlanta facility periodically for hardware integration and testing. A company laptop and necessary peripherals will be provided.

Benefits

  • Competitive salary and equity in an early-stage robotics company
  • Comprehensive benefits including health, dental, and vision
  • Permissive time off policy
  • A small team where your work has direct, visible impact on shipped products
  • The chance to work on robots that are operating in production today-not a research project

Apply