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Develop machine learning approaches, computer vision tools to help pre-process dataset and annotations to generate groundtruth benchmarks. The project scientist will make significant and creative contributions in the area of machine learning & data analytics. Expertise in databases, data infrastruct
Technology – Data and Decision Science – AI Native Engineering AI/Machine Learning Engineer, Manager Consultant The opportunity Our Artificial Intelligence and Data team helps apply cutting edge technology and techniques to bring solutions to our clients. AI, Data Science, and/or Machine Learnin
As MLRE on the Data Foundation team, you’ll work on cutting edge research to define the data flywheel that makes the whole machine move. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal
Collaborate cross-functionally with partners in Product, Data Science, and Engineering to define strategy, set priorities, and effectively integrate user insights into core systems and product features. You'll set technical vision, empower a talented group of engineers, and collaborate closely with
You’ll design the systems, tools, and strategies that turn the world’s engineering knowledge - text, geometry, and design intent - into high-quality training data. You’ll collaborate with Machine Learning Engineers to run data-driven experiments, analyze results, and deliver AI products that s
A financial services company is seeking a Director of Machine Learning Engineer to provide technical leadership in developing and productionizing machine learning applications. Responsibilities include optimizing data pipelines and leading initiatives to implement advanced machine learning models. T
End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e. Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest. Expertise in scalable realtime systems t
OpenAI, Dall-e, Langchain, Retrieval Augmented Generation (RAG)) and experienced with ML packages like scikit-learn and PyTorch Experience with natural language processing and deep learning Extensive experience in DevOps tools (GIT, Azure DevOps), Agile methodologies (Jira), and CI/CD pipelines for
End-to-end hands‑on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e. Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest. Expertise in scalable realtime systems
Applied Machine Learning Developers, Data Scientists, and Software Developers responsible for end‑to‑end development and deployment of AI/ML products—including but not limited to predictive & prescriptive maintenance models, intelligent work recommendations, LLM‑driven procedures, and real��
End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e. Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest. With more than 600 million users around
Responsibilities include leading technical initiatives, optimizing user experience, and collaborating with cross-functional teams to define the future of the AI and Data Platform Engineering. This role demands strong leadership in software engineering, focusing on long-term architecture and moderniz
Experience leading and working on a large-scale production recommendation, e-commerce, search or ads systems that are based on state-of-the-art machine learning and big data technology. Minimum of 1 year of experience managing a high-performing machine learning engineering team of 10+ members. We ar
Architect and develop robust engineering solutions that utilize machine learning models and algorithms to support personalization. Machine Learning and Data Science applications with a proven track record to drive innovation and business impacts. We are looking for a passionate Manager Machine Learn
Applied Data Science & Machine Learning Leader - Global Forecasting. Extensive experience building production‑ready models for time series applications. Seniority level: Director | Employment type: Full‑time | Job function: Engineering and Information Technology | Industries: Research Services.