Deep Learning Engineer 3D Vision & Infrastructure AI

Established in 2021, Looq AI is not your average tech company. We’re on a mission to revolutionize infrastructure digitization and analysis, bringing a fresh perspective to the field. Our innovative survey technology platform, the Looq platform, is changing the game. It enables lightning-fast and scalable 3D capture of survey-grade information, empowering decision-makers and enhancing operational efficiency across engineering and utility projects.

We’re looking for a Deep Learning Engineer to push the limits of what AI can do with real-world spatial data. You’ll design, train, and optimize models that process visual and 3D input — from photogrammetry and point clouds to object detection, segmentation, and change detection in the field.

You’ll work at the intersection of computer vision, infrastructure AI, and real-time processing. Your work will directly power how data is captured, analyzed, and surfaced to engineers, utilities, and enterprise users at national scale.

• Design, implement, and train deep learning models for:
• Semantic segmentation of imagery and point clouds
• Work with large datasets from sensors, cameras, drones, and lidar
• Optimize models for real-time inference and edge deployment (Jetson, embedded platforms)
• Build pipelines for data preprocessing, annotation, and training automation
• Collaborate with embedded, back-end, and platform teams to integrate models into production
• Evaluate performance using precision/recall, IoU, and other task-specific metrics
• Stay current on SOTA architectures and research, and evaluate their real-world tradeoffs
• Contribute to infrastructure for versioning, tracking, and automating model life cycles (ML Ops)

• Strong foundation in deep learning frameworks:
  PyTorch, Tensor Flow, or JAX
• Experience with computer vision libraries:
  OpenCV, Torchvision, Albumentations, etc.
• Skilled in model optimization: quantization, pruning, or ONNX/Tensor
  
  RT deployment
• Familiar with 3D data formats and pipelines: point clouds, meshes, geospatial datasets
• Strong Python skills; bonus for C++ or CUDA for performance tuning
• Experience with experiment tracking (Weights & Biases, MLFlow, etc.) and GPU training workflows
• Bonus:
  Familiarity with SLAM, multi-view geometry, or temporal models (video/time series)

• Degree (MS or PhD preferred) in Computer Science, Engineering, or related field with focus on deep learning or computer vision
• 3+ years of experience shipping models into production environments
• Strong math and spatial reasoning — geometry, linear algebra, probability
• Experience with noisy or unstructured real-world data — not just ideal lab datasets
• Ability to work cross-functionally and iterate quickly in an applied R&D environment

At Looq AI, your models won’t just land in a research repo — they’ll be deployed in the field, helping engineers digitize, inspect, and improve infrastructure across the country. You’ll work with a lean, high-performance team pushing boundaries across AI, embedded systems, and cloud platforms.

Join us in sunny Sorrento Valley, San Diego, with flexible remote options—work fully remotely or in a hybrid setup. We prioritize work-life balance and support your lifestyle, plus enjoy delicious, free lunches a couple of times a week that’ll keep you fueled and excited for the day ahead.

We offer excellent Health, Vision, Dental, and 401(k) benefits, including an unlimited vacation policy to help you maintain a healthy work-life balance.

Base salary ranging from $170,000K – $210,000K, with eligibility for stock options as part of the total compensation package.

At Looq AI, we value diversity. We are an equal opportunity employer of minorities, females, veterans, and individuals with disabilities. We don’t just talk the talk; we walk the walk. If you’re ready to be part of an innovative team, head over to (Use the "Apply for this Job" box below). and learn more. You can apply via our careers page or email your resume to: careers.