Lead Computer Vision Engineer

Essential functions

• You will lead a team of researchers and engineers in the field of computer vision and robotics to deliver innovative products and solutions
• Experiment with state-of-the-art methods in object detection, scene reconstruction, and motion planning
• Train neural networks on in-house domain specific datasets
• Analyze experimental results and come up with ways to improve the robustness, sample-efficiency, accuracy, and other model properties
• Design and implement domain-specific benchmarks, profile and optimize the performance of neural networks as well as end-to-end systems
• Design and build robotic applications combining multiple perception and motion planning models
• Enhance datasets for comprehensive training in manipulation and streamline data review, cleaning, and labeling processes

Qualifications

• MS or PhD degree in Engineering or Computer Science or equivalent experience
• Extensive experience with Deep Learning, Computer Vision, or a related field
• Experience with deep neural network training in leading frameworks such as PyTorch and TensorFlow
• Solid fundamentals and experience in computer vision (linear algebra, object detection, structure from motion, vision-language models)
• Experience in robotics or edge is a big plus: evidence of practical experience and projects that involve scene reconstruction, depth estimation, calibration, or deployment on edge devices
• Experience leading a team of AI/ML engineers
• Published research: particularly around computer vision and robotics demonstrating a deep understanding and contribution to the field

We offer

• Opportunity to work on bleeding-edge projects
• Work with a highly motivated and dedicated team
• Competitive salary
• Flexible schedule
• Benefits package - medical insurance, sports
• Corporate social events
• Professional development opportunities
• Well-equipped office

About us

Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.