Computer Vision Engineer

Invisible AI Inc.; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Invisible AI Inc. is building an edge-focused computer vision platform to digitize the physical world. As a Computer Vision Engineer, you will push deep learning boundaries and deploy AI products that work out of the box with minimal data collection.

Remote, United States, you will join a world-class team to solve real-time perception challenges on edge hardware like NVIDIA Jetson, collaborating across teams and documenting progress.

Qualifications

• Master’s or Ph.D. in Computer Science, Electrical Engineering or a related field.
• 2–3+ years of experience with C++ and Python in a Linux/Unix environment.
• 1+ years of experience training and deploying machine learning models.
• Experience with perception systems and algorithms, such as object detection, tracking, segmentation and camera calibration.

Responsibilities

• Lead design and implementation of computer vision algorithms for pose detection, tracking, and 3D reconstruction.
• Fine-tune and deploy LLM and VLM models on on-prem GPU clusters.
• Develop end-to-end DL models for NVIDIA Jetson edge devices.
• Prepare data preprocessing, augmentation, and cleaning for high-quality inputs.
• Optimize algorithms for real-time or near real-time processing.
• Collaborate with teams to integrate CV solutions into products.
• Develop robust testing and validation frameworks for CV systems.
• Stay updated with CV/ML advancements and apply cutting-edge techniques.
• Document code, algorithms, and processes to enable knowledge sharing.

Skills

Computer vision

Machine learning

Deep learning

C++

Python

Linux/Unix

Edge computing

Education

Master's or Ph.D. in Computer Science or Electrical Engineering

Tools

NVIDIA Jetson

GPU clusters

Job description

At Invisible AI, we are building the future of computer vision. Our core focus is on developing an end-to-end platform that can digitize the physical world to solve business problems. Today, our Vision Execution System uses AI-enabled edge cameras to analyze human body posture and actions in real time, without streaming any video to the cloud. Coming from the world of self-driving cars, the founders of Invisible AI have years of experience in building and deploying large-scale machine learning pipelines.

The role

As a Computer Vision Engineer on our team, in addition to pushing the boundaries of existing deep learning technologies, you will be solving complex algorithmic challenges that deep learning alone cannot. You will be working with a world-class team of engineers to deploy a new wave of AI products that work out of the box across domains without weeks or months of data collection.

Location: Remote, United States.

What you’ll do

• Lead the research, design and implementation of computer vision algorithms, including but not limited to detection, segmentation and tracking of person pose and objects in the scene, and 3D reconstruction from multiple views.
• Fine-tune and deploy LLM and VLM models on on-prem GPU clusters running local models.
• Develop and train end-to-end deep learning models that can run on NVIDIA Jetson edge compute platforms.
• Work on data preprocessing, augmentation and cleaning to ensure high-quality input data for the computer vision models.
• Optimize algorithms and models for real-time or near-real-time processing, taking into account efficiency and resource constraints.
• Collaborate with other teams to integrate computer vision solutions into our products and systems.
• Develop robust testing procedures and validation frameworks to ensure the accuracy and reliability of our computer vision systems.
• Stay up to date with the latest advancements in computer vision and machine learning, and apply cutting-edge techniques to our projects.
• Document code, algorithms and processes to facilitate knowledge sharing and collaboration within the team.

What you bring

• Master’s or Ph.D. in Computer Science, Electrical Engineering or a related field.
• Strong background in computer vision, machine learning and deep learning.
• 2–3+ years of experience with C++ and Python in a Linux/Unix environment.
• 1+ years of experience training and deploying machine learning models.
• Experience with perception systems and algorithms, such as object detection, tracking, segmentation and camera calibration.
• Excellent communication skills and the ability to operate in fast-paced, ambiguous environments.
• Highly effective time management and remote work communication.
• Passion for AI and readiness to take risks in a startup environment.
• Fair exposure to edge computing platforms like NVIDIA Jetson or other hardware accelerators for machine learning.

Invisible AI is an equal opportunity employer. We welcome applicants of every background and do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status or any other protected characteristic.