Augmodo Logo

Augmodo

Senior Computer Vision Engineer

Posted 6 Days Ago
Remote
Hiring Remotely in United States
170K-200K Annually
Senior level
Remote
Hiring Remotely in United States
170K-200K Annually
Senior level
Leads advanced computer vision R&D and production engineering for real-time retail edge deployments. Designs and optimizes deep learning, computer vision, and vision-language models; validates algorithms through evidence-based analysis; and deploys high-throughput, low-latency ML pipelines. Responsibilities include TensorRT and CUDA optimization, Docker-based cloud and embedded deployment, image registration and warping, and translating fundamental research into production-grade systems while providing technical leadership.
The summary above was generated by AI

Augmodo is at the forefront of spatial computing, where mapping connects the digital and physical worlds. We build real-time spatial systems that give brick-and-mortar retail unprecedented physical intelligence.

Role Overview & Mission

We are seeking a tenured Computer Vision Engineer to serve as a technical thought leader alongside our engineering leadership. In this role, you will bridge advanced R&D with production engineering to solve some of the toughest, unsolved computer vision problems in complex retail environments.

This role requires a combination of rigorous academic grounding (deep research experience/publishing) and battle-tested industry execution. You will spend roughly 50% of your time on hypothesis-driven R&D and evidence-based analysis and 50% on concrete implementation, model optimization, and edge deployment.

Key Responsibilities
  • Design, implement, and optimize state-of-the-art deep learning, computer vision, and visual-language models (VLMs) for real-world retail edge deployments.

  • Bridge exploratory research and production code, executing data-backed analysis to validate algorithm performance against real-world engineering risks.

  • Optimize neural network inference for high-throughput, low-latency execution using TensorRT and custom CUDA primitives.

  • Containerize and deploy robust ML pipelines using Docker across cloud and edge/embedded environments.

  • Embrace modern AI-assisted workflows (Copilot, code-assisted tooling) to maximize engineering throughput and team productivity.

Qualifications & Requirements
  • 8+ years of substantial industry experience delivering production-grade computer vision systems, paired with strong academic/research experience (Master's or Ph.D. level work in CS, Robotics, Electrical/Computer Engineering, or a related field).

  • Proven history of taking complex R&D/fundamental research and translating it into evidence-backed, production-grade pipelines.

  • Deep expertise in PyTorch, custom deep learning/graphics architectures, and Vision-Language Models (VLMs).

  • Hands-on experience with TensorRT, CUDA optimization, and low-level GPU acceleration.

  • Deep familiarity with Docker for reproducible ML environments.

  • Production-grade Python mastery; strong C++ capability for high-performance components.

  • Experience with dense image registration/warping algorithms.

  • Proven structured analytical approach to innovating in computer vision

Augmodo offers benefits inclusive of medical, dental, vision, and 401k. The salary range for this role is $170,000 USD - $200,000 USD +equity

Augmodo is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability status

Similar Jobs

5 Days Ago
Remote
US
Senior level
Senior level
Artificial Intelligence • Machine Learning • Analytics
Own end-to-end computer vision and machine learning projects for power grid infrastructure, from problem framing and research experimentation through production deployment and monitoring. Develop detection, segmentation, classification, anomaly detection, and foundation-model solutions; build data pipelines, serving systems, experiment tracking, and model versioning. Conduct error analysis, benchmarking, tuning, code reviews, and testing while translating client requirements into reliable production models and communicating technical decisions and limitations.
Top Skills: Ci/CdCnnsDockerDrone MetadataFastapiFoundation ModelsGisGitGithub ActionsLightningMl DevopsModel QuantizationNumpyOpencvPandasPydanticPytestPythonPython Type HintingPyTorchScikit-LearnTransformersVision Language Models
22 Days Ago
In-Office or Remote
United States
Senior level
Senior level
Logistics • Software
Lead design and delivery of an egocentric video data product: capture rigs, edge processing, dataset pipelines, VLM-assisted annotation, and production-ready perception models (detection, tracking, segmentation, depth/3D reconstruction, and 6DoF pose estimation). Operate and scale warehouse capture programs and own model training, evaluation, optimization, and deployment.
Top Skills: 3D Reconstruction6Dof Pose EstimationAnnotation ToolingBody Pose EstimationC++Camera CalibrationCnnsDepth EstimationEdge ProcessingEpipolar GeometryHand Pose EstimationHuman-In-The-Loop LabelingMulti-View GeometryMultimodal VideoPythonTriangulationVideo Data PipelinesVision TransformersVision-Language Models (Vlms)
28 Days Ago
Remote or Hybrid
160K-200K Annually
Senior level
160K-200K Annually
Senior level
Retail • Analytics
Build, train, evaluate, and deploy production computer vision models (detection, segmentation, OCR, barcode decoding, visual search). Own dataset quality, tooling, model releases, inference exports, and monitoring. Collaborate cross-functionally to improve model performance, robustness, and deployment for retail robotics and edge environments.
Top Skills: Barcode DecodingC++CudaCvatFiftyoneLabelboxLinuxOcrOnnxPythonPyTorchQuantizationRoboflowRosRos2TensorFlowTensorrt

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account