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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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All of that data that we process goes through Machine Learning and Deep Learning algorithms and models, all built and trained in-house, to ensure peak relevancy for consumers, and are constantly being improved upon, which results in one of the most advanced and mature Machine Learning practices in the world.
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Passion for Artificial Intelligence, Predictive Analytics, and Machine Learning technologies is a core requirement. Experience with AI, predictive analytics and the machine learning landscape is a huge plus.
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Experience with cloud-based machine learning platforms such as Amazon SageMaker or Apache Spark-based solutions like Databricks is advantageous. Cytokinetics is dedicated to advancing the frontiers of technology through the strategic application of artificial intelligence, machine learning, image analysis, and computational biology and chemistry.
$176,000 - $215,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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You will deploy and deliver technical solutions at the intersection of computational chemistry and machine learning, supporting research directions in molecular design across broader gRED and Roche.
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As a Staff Machine Learning Engineer you will take the lead on building new or updating data driven product features. Hands-on experience with machine learning and NLP tools and libraries including Numpy, Scipy, Scikit-learn, SpaCy, NLTK, Torch, Tensorflow, Keras.
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4-8 years of experience as machine learning engineer/data scientist. Design and implement end-to-end solutions using Machine Learning, Optimization, and other advanced computer science technologies, and own live deployments to drive advertising conversion.
$121,500 - $224,880 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Including two-thirds of high school students and half of all college students in the US. Combining cognitive science and machine learning, Quizlet guides students through adaptive study activities to confidently reach their learning goals.
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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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Work cross-functionally with product, platform, security, and data engineering teams to unlock new machine learning applications. We build our services over Cash App's ever-evolving infrastructure, and as a senior engineer on the team, you will embrace these changes and scale our tech stack to promote future evolvability.
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Passion about continuously learning new technologies, frameworks, and services. Learning and Development resources. Enthusiasm about solving business problems with technology and proven experience successfully taking ownership of an end-to-end solution.
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Excellent knowledge of both front-end and back-end programming languages (JavaScript, HTML, Java, Python, Angular JS, Node JS, REST APIs, Spring Boot, REACT) Knowledge of database systems and SQL Strong knowledge of Cloud technology and able to help with migration to cloud.
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We are looking for someone who has experience primarily as a machine learning engineer or modeler, as well as a software engineer, as we operate at the intersection of those two roles.
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Experience building component-based web apps with modern JavaScript front-end frameworks (e.g. React, Vue, Angular, or Ember) Proven track record of results as a Principal Engineer level or above in a large engineering organization at a top-tier tech company.
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Knowledge of data science, machine learning, and artificial intelligence is required. Knowledge of data science, artificial intelligence, and/or machine learning is required.
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machine learning engineer front end jobs Company: Amazon Web Services Aws in San Francisco, CA
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