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Programming Skills: Proficiency in programming languages like Python, R, or similar, along with experience in using machine learning libraries such as TensorFlow, PyTorch, or scikit-learn.
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Our current backend stack is Python, Rust, TensorRT-LLM, Kubernetes, AWS. You will work on designing and implementing machine learning models that drive our recommendation systems, retrieval algorithms, and classifiers.
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The Staff Machine Learning Engineer is a versatile role in Behaviors that drives a wide spectrum of applied ML research and development to overcome challenges on urban roads. This Includes Working On a Variety Of Really Exciting Problems Such As The Behaviors Teams at Cruise are responsible for developing machine learning models to enable our AV to drive smoothly and safely around an urban environment.
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Our work combines genomics, proteomics and state-of-the-art imaging technologies with software engineering, machine learning and data science. Pioneer novel methods for multi-modal data analysis (e.g. network analysis, machine learning) and develop new data visualization solutions.
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Advocacy/Activism/Civic Engagement - I engage actively in the learning community by contributing my time and skills to support school-wide initiatives that support program innovation, community wellbeing, and learning.
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5+ years experience with applied Machine Learning or Deep Learning. Machine Learning is at the heart of our automation approach, and we are looking for a senior modeler to lead our automation efforts across new Support surfaces.
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Selling to many types of personas (most common HR, Learning and Development, or Tech/IT) Our Learning & Development team is second to none, helping ensure your journey is one of continuous progression.
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As our Tech Lead in AI/ML, you will play a crucial role in the hands-on development of mentoring peers and delivery of AI products powered by our internal AI models and machine learning pipelines.
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Be an expert in matching algorithm and recommender systems machine learning models and own the implementation of dating recommendations in Grindr. Use machine learning, natural language processing, and graph analysis to solve modeling and ranking problems across dating, personalization, growth, discovery, ads and search.
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The team acts as a “startup within a startup” and consists of 2 dedicated engineers, 1 business generalist, and is led by our CTO John Wang. We’re looking to add a machine learning engineer who’s been an early hire before and thrives in ambiguity.
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Work on cutting edge Trust & Safety Machine Learning solutions for detecting fraud, mitigating fake accounts and account takeovers, detecting image and text policy violations, reducing data scraping, and others.
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This role requires a strong understanding of machine learning algorithms, data analysis, and fraud detection techniques. Develop, implement, and maintain machine learning models for fraud detection.
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4-8 years of experience as machine learning engineer/data scientist. Experience using machine learning libraries or platforms, including Tensorflow, Caffe, Theanos, Scikit-Learn,or ML Lib for production or commercial products.
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Excellent storytelling and narrative skills; model-making skills and knowledge of machine and wood shop tools a plus. The ideal candidate will also have a knack for getting his/her hands dirty, enjoy constant learning, and be able to offer a unique perspective across many areas of exhibition design, from science museums to art museums, healthcare, and outdoor installations in public spaces.
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Experience with popular machine learning and deep learning frameworks such as GPT , TensorFlow, Keras, PyTorch, and Scikit-learn. The ideal candidate should have a strong background in machine learning, deep learning, LLMs, and data analysis, as well as experience in developing and deploying AI models on hardware/wearables.
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machine learning jobs Title: expert Company: Apple Inc in San Francisco, CA
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