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You will identify and address an applied machine learning problem in the enterprise co-pilot system, working with ML Engineers across the organization to adopt and productionize LLM usage. Passionate about natural language understanding, information retrieval, or machine learning.
InternExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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These efforts have resulted in making machine learning more accessible to teams at Waymo, including Perception, Behavior Prediction, Planner, 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.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Collaborate with leadership, product managers, customer success staff, and other teams to align machine learning initiatives with business goals. This involves harnessing cutting-edge generative AI alongside traditional machine learning methodologies.
$187,000 - $299,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Introduce and enforce best engineering practices and streamline the machine learning development and deployment processes. Minimum Experience Required : Five (5) years of experience as an Engineer II, Machine Learning or related occupation in machine learning algorithm engineering, user behavior modeling, and data analysis.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Use machine learning, natural language processing, and graph analysis to solve modeling and ranking problems across dating, personalization, growth, discovery, ads and search. Be an expert in matching algorithm and recommender systems machine learning models and own the implementation of dating recommendations in Grindr.
$160,000 - $220,000 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Hands-on experience with machine learning-related frameworks (e.g., TensorFlow, PyTorch, model registry, OpenMetadata, ML feature store). Solid theoretical background in machine learning or data mining and strong conceptual, problem-solving, and analytical skills.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Design and develop the next-generation machine learning platform to support thousands of model training pipelines concurrently and trillions of daily batch predictions. You will work closely with and be supported by a talented engineering team and top-notch researchers to work on exciting machine learning projects and state-of-the-art technologies.
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Deep knowledge of machine learning frameworks such as PyTorch, TensorFlow, or JAX. ResponsibilitiesExplore and experiment with cutting edge ML techniques for applied NLP. Develop and test production-grade scalable generative machine learning models.
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Coordinated Measuring Machine(CMM) Inspector/Programmer (1 of 3) Coordinated Measuring Machine (CMM) Inspector/ Programmer! Proven experience as a CMM Inspector/Programmer in a manufacturing environment.
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Experience building tools that are core to a machine learning engineer’s daily work. Build automation that surfaces insights on how machine learning engineers can improve workflow efficiency.
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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. Developing and implementing machine learning models and robotics systems to enhance the capabilities of our Autonomous Vehicle stack.
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If you have industry experience developing production software for machine learning, especially in areas like recommendation engines, natural language processing, and deep learning for text data, we'd love to talk to you.
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MACHINE LEARNING SOFTWARE DEVELOPMENT ENGINEER THE ROLE: As a Machine Learning Engineer specializing in low-level performance optimization, you will play a critical role in helping our customers to advance AMD-based machine learning infrastructure and ensuring the efficient deployment of state-of-the-art large models.
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The Senior Machine Learning Engineer will collaborate closely with hardware engineers, data scientists, product managers, and notably, core developers of Electronic Design Automation (EDA) tools.
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You will play a critical role in driving innovation in Machine Learning enablement of Growth / Marketing platforms. Establish scalable, efficient, automated processes for data analysis, machine-learning model development, model validation and serving.
Full-timeExpandApply NowActive JobUpdated 12 days ago
Title: machine Company: Metro Staffing Service in Mountain View, CA
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