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Data science, machine learning, optimization models, Master’s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch)Doctorate, Masters: Artificial Intelligence.
$117,000 - $234,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Lead research topics through multiple phases related to automotive machine learning solutions: experimentation and validation, proof of concept, tuning and constraint adjustment. The Mercedes-Benz Data and AI team is seeking a hands-on machine learning expert for research, design, and development of cutting-edge technology applied in projects that will shape the future of Mercedes-Benz vehicles with the goal of enhancing our customer's experience.
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We are looking for a Machine Learning Engineer/Solution Architect with experience in deploying Machine Learning (ML), Deep Learning (DL) models on prem and in the cloud. 5+ years of work-related experience in Deep Learning and Machine Learning, including deep learning frameworks TensorFlow, PyTorch and LangChain with GPU and CUDA experience being extremely advantageous.
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We are looking for an experienced Machine Learning Engineer to help us in our journey to scale end-to-end neural networks for autonomous driving. Challenges you will own Technical leadership of at least one company wide programDeveloping and implementing machine learning models and robotics systems to enhance the capabilities of our Autonomous Vehicle stack.
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Apache Spark is a multi-language engine for data engineering, data science, and machine learning that lies at the core of our initiatives. Lead a high-performing engineering team in the development of the Spark platform, reinforcing Apache Spark’s position as the world’s leading open-source unified engine for large-scale data analytics.
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Good knowledge and Proven practical experience in migrating relational data base from on-prem to cloud OR to build cloud-based data lake using either Big Data / Azure Synapse / Databricks / Snowflake.
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This role is for a senior machine learning engineer in the Distribute Training team for AWS Neuron, responsible for development, enablement and performance tuning of a wide variety of ML model families, including massive-scale Large Language Models (LLM) such as GPT and Llama, as well as Stable Diffusion, Vision Transformers (ViT) and many more.
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This role requires strong experience in leading research and development in digital health, especially applying AI, Machine Learning, and Generative AI / LLM to develop novel health products that leverage wearables, smartphones, apps, and health data.
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Manage and lead hardware development teams focusing on high speed serial data communication products. Ability to manage/lead technical team focusing on developing high speed data communication products.
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The Analytical Development Lead (Director/Sr. Director level) is responsible for the AD activities for testing methods for in-process and final release product characterization of early and late-stage cell therapy programs.
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Bachelor's or Master's degree in Mechanical Engineering or similar field7+ years as a professional mechanical design engineer, delivering products as a technical lead through 2+ full design lifecycles from concept to manufacturing support, preferably in industrial equipment, power generation, or electromechanical machines.
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The Data Scientist will conduct artificial intelligence and machine learning (AI/ML) research and development for a portfolio of NASA applications with focus on aeronautics projects such as Air Traffic Management, Aviation Safety, Sustainable Aviation, and/or Advanced Air Mobility.
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We're looking for an experienced software test engineer to lead Validation & Verification (V&V) efforts at Plus by conducting hands-on testing of our autonomous driving stack. Lead planning and execution of closed-course autonomous vehicle system testing.
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Understanding of machine learning fundamentals and experience with popular ML frameworks such as JAX, PyTorch, or TensorFlow. These efforts have resulted in making machine learning more accessible to teams at Waymo, including Perception, Behavior Prediction, Planner, Routing, Maps and Research, ensuring greater degrees of consistency and repeatability, and addressing the "last mile" of getting models into production and managing them once they are in place.
$192,000 - $243,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Our digital ecosystem combines the power of technology to create beautiful smiles through the integration of AI and machine learning, digital imaging and visualization, biomechanics and material science to develop the Invisalign system, the most advanced clear aligner system in the world; iTero Intraoral Scanners andOrthoCADdigital services.
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machine lead jobs Title: data engineer Company: Amazon in Sunnyvale, CA
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