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Lead a team of product managers owning Carvana’s inventory reconditioning network, using AI and data to optimize speed, cost, and quality across 150+ inspection centers and auctions.
Design and implement evaluation frameworks for ML and computer vision models, analyze failures, and build scalable tools to ensure robust real-world performance.
Design and build data pipelines, quality frameworks, and tooling that turn multi-modal surgical robotics data into research-ready datasets for AI/ML teams, using Python, SQL, and distributed processing frameworks like Spark and Airflow.
Build and optimize deep learning computer vision models for autonomous agricultural and construction vehicles, working with multi-sensor data and deploying to edge platforms using PyTorch and TensorFlow.
The Data Engineer will build and maintain large-scale pipelines to process unstructured data, integrating AI models and vector embeddings to support national security analytical systems. The role focuses on high-throughput data transformation, hybrid search indexing, and multimedia processing.
Design and maintain high-throughput pipelines that ingest and transform unstructured data into vector embeddings for semantic search, powering national security analytics.
Build and deploy AI/ML models (NLP, computer vision, prediction) using Python and cloud tools to automate workflows and improve decision-making in a design-focused architecture firm.
WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a…
Develops and deploys computer vision and deep learning models for UAV navigation and autonomy on edge hardware, from research to production, using Python and PyTorch.
Lead cross-functional programs to build and scale the ML and robotics platforms that power autonomous farming and construction machines, coordinating engineering teams and driving high-impact technical initiatives.
This is a remote position. Develop and maintain web applications using Next.js and React . Integrate blockchain technologies (e.g., Ethereum, Solana, or others) into web applications, including smart contracts,…
Senior Data Scientist at GRVTY in Falls Church, VA, building and optimizing data pipelines, ML models, and geospatial analytics for national security and imagery curation using Python, SQL, and geospatial formats.
Overview The Compute Graph Compiler (CGC) team within DirectX is building core compiler and execution technologies that power the Windows Machine Learning Platform. Our mission is to make Windows the best platform for…
Build and own instrument software that orchestrates hardware devices, monitors QC data, and verifies performance of optics/fluidics/mechanical systems for a single-molecule protein analysis platform, primarily using Python and C++.
Designs and builds AI/ML pipelines, including RAG systems and LLM integrations, to process and analyze data for intelligence missions in a fast-paced government-focused environment.
Senior data scientist builds and deploys computer vision models for object detection and scene understanding in secure defense environments using Python and C++.
Fantom Corporation is a mission-focused organization supporting critical programs across the defense and intelligence community. We partner with our customers to deliver high-impact technical solutions while fostering…
Take ML and computer vision models from research prototypes to production across edge devices and cloud GPU infrastructure, owning evaluation pipelines, data feedback loops, and deployment mechanics using Python, PyTorch, ONNX/TensorRT, Docker, Kubernetes, and Kafka.
Own the data pipeline and reporting products that turn raw retail data into actionable insights for store managers and head offices using deep learning and computer vision.
The Staff Machine Learning Engineer will lead the development of Edge AI models for in-vehicle health monitoring and failure prediction. The role involves owning the end-to-end ML pipeline, including model training, optimization for resource-constrained devices, and deployment using technologies like PyTorch, TensorFlow, and C++.
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