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MS, or above in Machine Learning, Computer Science, Engineering, or a related technical discipline or equivalent experience What we offer you The chance to be part of a truly mission driven organisation and an opportunity to shape the future of autonomous driving.
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7+ years of software and machine learning engineering experience in an industrial or applied research environment. Developing and implementing machine learning models and robotics systems to enhance the capabilities of our Autonomous Vehicle stack.
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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.
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MSc/PhD in Economics, Statistics, Machine learning, or equivalent industry/academic experience. Experience in causal inference and machine learning. Remote friendly, hybrid compatible - we are hiring in our science hubs (Seattle, Bay Area, Silicon Slopes area of Utah), but we are remote friendly with optional weekly in-person days at a hub's local Wework.
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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.
$65,000 - $400,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Understanding of machine learning fundamentals and experience with popular ML frameworks such as JAX, PyTorch, or Tensorflow. Previous experience deploying and supporting machine learning models for computer vision, natural language processing, or recommendation systems.
$192,000 - $243,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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3+ working experience in one of the following fields: machine learning, NLP(Natural Language Processing), multimodal, and computer vision. Familiar with commonly used machine learning and deep learning algorithms, understand basic network model structure (DNN/LSTM/CNN, etc.
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Familiarity with the applications of Artificial Intelligence or Autonomous Systems technologies (e.g., Reinforcement Learning, Deep Learning, Machine Learning) to sensing, perception, multi-unit planning, or command and control of autonomous systems.
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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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Experience designing and implementing real-time Machine Learning (ML) based voice processing algorithms for embedded systems or mobile platforms. Design and develop cutting-edge speech algorithms and systems using Digital Signal Processing, deep learning and big data.
$150Full-timeExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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Self-driving, Engineering, self-driving cars, Automotive, Machine Learning, and Autonomous Vehicles. Strong background and knowledge working with a wide range of UI Design, Visual Design, UX Research in a highly technical environment or complex product suite, demonstrated through a comprehensive portfolio of successful consumer products.
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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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As a Principal System Architect, you will be responsible for defining system solutions for the data center using Lightmatter’s innovative technology to create state of the art machine learning/artificial intelligence or massive scale-out interconnect platforms.
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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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Experience with popular MLOps tooling from cloud vendors like GCP (Vertex AI), AWS (SageMaker), or Azure Machine Learning, MLFlow, Kubeflow, etc. Work on advanced tools developed for the world’s leading cloud-native machine learning engine that uses graph deep learning technology.
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machine learning jobs Title: director of engineering in Mountain View, Troy, New York
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