Build and improve ML/CV models, including retraining and optimizing for Samsara-specific problems.
Work with petabyte-scale data from camera and sensor devices to develop new models.
Partner with firmware and full-stack teams to deploy models for optimal performance and cost.
Samsara is the pioneer of the Connected Operations Cloud, enabling organizations to harness IoT data for actionable insights to improve safety, efficiency, and sustainability. As a public company with over 2.3 million IoT devices deployed globally, Samsara fosters a culture of growth mindset, inclusivity, and teamwork.
Design and implement cloud/edge AI architectures for real-time computer vision applications.
Develop computer vision models for wildfire smoke detection, vegetation classification, asset detection, and spatial reasoning.
Port and optimize deep learning models for ARM64, CUDA, TensorRT, ONNX, and NVIDIA Jetson platforms.
Pano AI is a leader in AI-powered wildfire detection and intelligence, helping fire professionals detect, respond to, and contain wildfires faster. Our team of 175+ works in a hybrid-remote environment across North America and Australia, based in San Francisco.
Assist in developing computer vision models for wildfire detection and environmental monitoring.
Help implement and maintain ML/CV pipelines and deploy models on NVIDIA Jetson edge platforms.
Collaborate with AI researchers, software engineers, and product teams to optimize and document solutions.
Pano AI is the leader in AI-powered wildfire detection and intelligence, helping fire professionals detect, respond to, and contain wildfires faster and more safely. We are a team of more than 175 people working in a hybrid-remote environment across North America and Australia, with headquarters in San Francisco.
Architect end-to-end computer vision pipelines for real-world safety detection, including object detection, tracking, and semantic segmentation.
Drive the technical roadmap for edge and cloud perception, optimizing models for constrained hardware without sacrificing accuracy.
Mentor senior scientists and engineers, translating customer needs into precise engineering challenges.
Samsara is the pioneer of the Connected Operations™ Cloud, a platform that enables organizations dependent on physical operations to harness IoT data for actionable insights and improved safety, efficiency, and sustainability. As a recently public company, they foster a culture of rapid career development, collaboration, and innovation while scaling globally.
Design and train custom object detection models for retail environments.
Fine-tune and deploy vision-language models for product understanding and scene reasoning.
Optimize models for edge deployment using quantization and pruning techniques.
Panoptyc is building the future of retail intelligence through computer vision and AI. The company has a focused, collaborative team of engineers working on cutting-edge retail applications.
Develop end-to-end data processing pipelines for display characterization and machine learning algorithms for visual artifact detection.
Design and implement anomaly detection models and automated analysis tools for display performance.
Collaborate with cross-functional hardware teams and maintain data infrastructure for ML workflows.
itD is a consulting and software development company that blends diversity, innovation, and integrity. It is a woman- and minority-led firm with a flat structure and a focus on delivering excellent results.
Own the offline dataset pipeline converting multi-sensor data into VLM/VLA training datasets.
Develop VLM-assisted auto-labeling with open-vocabulary detection and semantic enrichment.
Curate long-tail scenarios to measurably improve downstream model performance.
Torc develops autonomous driving software for trucks to transform freight movement. As a pioneer in autonomous technology since 2007 and now part of Daimler, we foster a collaborative, energetic, and team-focused culture.
Design, develop, and deploy ML models for object detection, scene understanding, and 3D asset placement
Train and fine-tune models on 3D datasets to generate realistic visualizations while preserving image fidelity
Collaborate with graphics and full-stack teams to integrate AI models into the product pipeline
Homekynd builds the spatial intelligence layer for enterprise retail, transforming photos into 3D room models for immersive furniture visualization. We are a remote-first team on a fast build timeline, seeking engineers who want real ownership over hard problems.
You will own the end-to-end user interfaces, active learning agents, and visual tooling powering our Spatial Platform.
You will train and integrate lightweight CV models for active learning and pre-labeling to accelerate human annotation.
You will build robust internal QC, mapping, and annotation platforms and design high-performance front-end interfaces for spatial planograms.
Augmodo is building the "operating system for the physical shelf" using spatial computing and wearable AI, providing real-time store-level insights. We are a fast-moving startup with a culture of high agency and velocity.
Lead the design and development of computer vision systems for biometrics, including face attributes, detection, and recognition.
Architect, train, and optimize models using PyTorch, TensorFlow, or JAX, and own end-to-end ML pipelines on AWS.
Mentor ML engineers and drive technical best practices across the Computer Vision team.
Jumio is a B2B technology company that uses AI and biometrics to prevent online identity fraud and financial crimes. It is a global leader in identity verification with a diverse team and values of Integrity, Diversity, Empowerment, Accountability, and Leading Innovation.