ABB · 1 month ago
Senior Computer Vision AI and ML Engineer
Location, WV
Full-time
Onsite
Senior Level
6+ years expABB is a global market leader in robotics and automation, and they are seeking a Senior Computer Vision AI and ML Engineer to drive the development of cutting-edge computer vision models. The role involves architecting real-time inference pipelines, leading technical validation efforts, and mentoring junior engineers in a fast-moving, innovation-driven environment.
AutomotiveEnergyEnergy ManagementIndustrial AutomationRobotics
Responsibilities
Design, train, and optimize deep learning models for core perception tasks—object detection, semantic and instance segmentation, and 3D scene understanding—using multi-modal sensor data (e.g., RGB-D)
Devise labeling strategies, and tooling for automated annotation and QA. Contribute to dataset curation, balancing, and advanced augmentation techniques to simulate real-world illumination, occlusion, and high-mix variation scenarios
Develop continuous monitoring frameworks to assess model performance and reliability in real-world and simulated environments. Implement uncertainty estimation and failure detection methods to support fallback and recovery strategies in dynamic, unstructured conditions
Conduct proof-of-concept experiments to evaluate new algorithms, tools, and methodologies in computer vision, simulation, and perception. Translate research insights into practical prototypes that can inform roadmap and architecture decisions
Qualification
Required
MS or PhD in Computer Vision, Robotics, Machine Learning, or a related technical field or equivalent hands-on experience building and deploying perception systems in real-world robotics applications
6 to 8+ years of hands-on experience building deep learning models for perception tasks such as object detection, segmentation, and 3D understanding
Strong proficiency with Python, C++, and deep learning frameworks like PyTorch or TensorFlow; experience with ROS2 is a plus
Deep understanding of multi-modal sensor data (e.g., RGB-D, LiDAR) and experience working with synthetic data, real-world datasets, and augmentation strategies for robustness
Experience optimizing models for real-time inference, including latency reduction, throughput scaling, and deployment in closed-loop robotic systems. Skilled in evaluation methodologies, diagnostics, and performance monitoring across both simulation and real-world environments
Solid understanding of robustness and reliability techniques, including uncertainty estimation, perception failure detection, and recovery strategies for dynamic, unstructured environments
Strong problem-solving skills, ability to work independently, and experience collaborating in cross-functional robotics teams
Company
ABB
ABB provides electrification and automation solutions for various industries.
10001+ employees
H1B Sponsorship
ABB has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (70)
2024 (51)
2023 (58)
2022 (63)
2021 (52)
2020 (46)
Funding
Current Stage
Public CompanyTotal Funding
$548.55MKey Investors
European Investment Bank
2023-11-21Post Ipo Debt· $545.85M
2013-09-23Grant· $2.7M
2001-04-06IPO
Leadership Team
Morten Wierod
CEO
Håvard Devold
Vice President, Market Development, Country Technology manager
Recent News
2025-12-17
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