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Designs and builds a scalable computer vision platform for global automotive battery plants, using Python, OpenCV, and NVIDIA tools to improve manufacturing efficiency and quality.
Senior Deep Learning Engineer, Computer Vision imagry.E4.E30@comeetapply.com Location: San Jose, CA , On Site We are looking for a capable and experienced Sr. Deep Learning Engineer to join our R&D team. The…
The Principal Applied AI/ML Scientist leads the design and implementation of enterprise-level AI/ML solutions, including generative AI and multimodal systems, to drive business value at lululemon. This role involves acting as a strategic advisor to senior leadership while mentoring technical teams and establishing standards for AI innovation and production.
This is a student co-op role at RBC Borealis where the intern will develop machine learning-based software solutions, working on tasks ranging from data pre-processing to algorithm implementation and front-end development. The role involves collaborating with research teams and utilizing distributed computing frameworks to solve complex financial problems.
This 4-month student co-op role at RBC Borealis involves developing end-to-end machine learning solutions, from data pre-processing to algorithm implementation and front-end development. The intern will collaborate with research teams to build scalable, data-driven financial applications using technologies like Python, C++, Spark, and various deep learning frameworks.
Builds secure pipelines and computer-vision models to process ABA therapy video sessions, ensuring clinical privacy and compliance.
Develops video ML models and pipelines for analyzing ABA therapy sessions, focusing on pose/movement/speech analysis while ensuring strict privacy and data quality standards.
The AI Software Engineer will build and deploy end-to-end AI-powered restaurant products, ranging from voice ordering to operational tools. The role involves full-stack development using Python, FastAPI, TypeScript, and React, alongside integrating LLMs and agent workflows into production environments.
Build and enhance Cloud Applied AI solutions like Gemini Enterprise by writing and testing production code, leading design reviews, reviewing peer code, and debugging issues across the full-stack, leveraging LLMs and ML infrastructure.
Build and optimize the backend infrastructure for ByteDance’s Volcano Ark large-model platform, focusing on scalable, low-latency inference services and cloud-native tooling.
Build ML-powered features for Google Photos Reminiscing, designing and evaluating models to create personalized user experiences at scale.
The AI/ML Lead Consultant will lead customer engagements on Google Cloud, designing and delivering AI, machine learning, and Generative AI solutions. The role involves technical leadership, architectural design, MLOps implementation, and mentoring teams to move projects from strategy to production.
The Google Display Ads (GDA) Machine Learning (ML) team is at the forefront of revolutionizing digital advertising through cutting-edge machine learning. We develop the core intelligence that powers Google's…
Data Scientist at Sage, an academic publisher, building and deploying AI/ML solutions—NLP, Computer Vision, and recommender systems—using Python, R, SQL, and Azure cloud services.
About Schemata At Schemata, we are transforming the $400 B virtual‑training and simulation market by fusing 3D computer vision, neural rendering and large multimodal models inside highly regulated industries. Our…
Computer Vision Engineer taking the Vision Weigh animal measurement product from prototype to production on commercial farms—building and deploying models on edge hardware (Jetson, NPU boards) using Python, PyTorch, and depth sensing, with a focus on rapid iteration over perfection.
Computer Vision Engineer taking the Vision Weigh livestock measurement system from prototype to production on edge hardware in paddocks, using Python, PyTorch, depth sensing, and classical CV techniques deployed on Jetson/NPU boards.
The Data Engineer will architect high-throughput pipelines for unstructured data, focusing on vector embeddings, hybrid search indexing, and computer vision solutions. The role involves collaborating with cross-functional teams to ensure data quality and system reliability.
Builds and maintains high-throughput data pipelines to ingest, process, and analyze unstructured data (documents, media) using AI/ML for threat detection and semantic search in national security applications.
Develop SLAM algorithms using LiDAR and visual sensors to enable autonomous navigation for service robots in logistics and hospitality settings.
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