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Minimum of 5 years experience as a Technical Program Manager, Product Manager, or Engineering Manager, or Engineer in an autonomous systems, robotics, data science, machine learning, computer vision, or software development environment.
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Advanced Degree: Master's or PhD in Computer Science, AI, Linguistics, or related fields, with a focus on machine learning and natural language processing. In this role, you'll play a key part in Robinhood's forward trajectory, collaborating closely with our adept Data Science and Engineering teams.
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Perform data preprocessing, feature engineering, and model training/validation using state-of-the-art machine learning frameworks and libraries. LLM Lead with Deployment experience and NLP experience related to Data Science- Deep Learning.
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Ph. D. in a technical or health area (e.g. Computer Science, Biomedical Engineering, Electrical Engineering, Biophysics, biological science, or other related areas.
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BS in Robotics, Computer Science, Mechatronics, Electrical Engineering, Mechanical Engineering, or related field. The team is responsible for taking products like Ghost, Anvil, and our Sentry Tower from paper sketches to operational systems.
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Provide expertise in one or several areas of machine learning and data science, such as natural language processing, supervised/unsupervised learning, deep learning, reinforcement learning, etc.
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Conduct advanced research and engineering in 3D perception and machine learning to address challenges in autonomous systems. Hands-on experience on developing computer vision and machine learning algorithms with focus on at least two of the following areas: autonomous driving, object detection/segmentation, 3D scene understanding, path predication & planning, localization, and sensor fusion.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT.
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BS in Electrical Engineering, Computer Science, Math, or equivalent (M.S. preferred) 5+ years Systems Engineering and related commercial GNSS work experience Knowledge of PNT signal structures and receiver design Understanding of fundamental estimation theory and the application of this theory to GNSS applications Skilled in C, C.
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3+ years of relevant experience in at least a few of the following relevant areas is required in your work history: Machine learning (with focus on Deep Neural Networks), including a solid understanding of DL fundamentals; Experience adapting and training DNNs for various tasks; Experience developing code for one or more of the DNN training frameworks (such as Caffe, TensorFlow or Torch): Numerical analysis, Performance analysis and optimization & Computer architecture.
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As a Machine Learning engineer in the Autolabeling team you will be responsible for designing and developing new Machine Learning models for our offboard automatic labeling systems, and deploying the models to label at scale the data necessary for the development of our next-generation autonomous vehicle platform and ultimately contribute to millions of Toyota production vehicles.
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We combine microfluidics, imaging, deep learning, and genomics to identify, isolate and analyze live, single cells. We are a small team of passionate innovators in biomedical engineering, artificial intelligence, molecular biology, and genomics.
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This is an exciting opportunity to work at the leading edge of machine learning and systems biology, supported by experts in a highly collaborative and well-funded scientific environment.
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Excellent debugging, analytical and problem-solving skillsA deep understanding of machine learning foundations and can develop technical solutions for new problemsNice to have:Experience working with cloud data processing technologies (Apache Spark, ElasticSearch, Presto, SQL, etc.
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Our mission is to provide a delightful experience to Amazon’s customers by pushing the envelope in Natural Language Processing (NLP), Generative AI, Large Language Model (LLM), Natural Language Understanding (NLU), Machine Learning (ML), Retrieval-Augmented Generation, Responsible AI, Agent, Evaluation, and Model Adaptation.
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machine learning computer science systems engineering equity and inclusion jobs Title: engineering in Mountain View, CA
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