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About the roleWe are looking for an infrastructure engineer with expertise in machine learning for autonomous systems. 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 2 days ago - UpvoteDownvoteShare Job
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Senior Software Engineer, Machine Learning, Reliability Infrastructure. Understanding of machine learning fundamentals and experience with popular ML frameworks such as JAX, PyTorch, or Tensorflow.
$192,000 - $243,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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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. Challenges you will own Technical leadership of at least one company wide programDeveloping and implementing machine learning models and robotics systems to enhance the capabilities of our Autonomous Vehicle stack.
$250Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Developing and implementing machine learning models and robotics systems to enhance the capabilities of our Autonomous Vehicle stack. You’ll be working across our embodied AI org team to build, integrate, test and scale algorithms, tools, and machine learning solutions for autonomous driving.
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To be successful, you'll be partnering with machine learning, search, product, data, and full stack teams to identify, define and build elegant solutions. Experience with containers/Docker, and with cloud infrastructure like AWS/GCP/AzureExperience working with and operating open source technologies like Kafka, Elasticsearch or Opensearch, Istio, etc.
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Design and develop highly scalable, real-time machine learning infrastructure with extremely high throughput and low latency conditions, to support the entire advertising business in Samsung.
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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.
$150ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Strong experience with machine learning, particularly in the context of behavior prediction for autonomous driving. Train advanced behavior prediction models, including LSTM, Transformer, and other relevant machine learning models.
$150ExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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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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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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Self-driving, Engineering, self-driving cars, Automotive, Machine Learning, and Autonomous Vehicles. Aurora is working with industry leaders across the transportation ecosystem, including Toyota, FedEx, Volvo Trucks, PACCAR, Uber, Uber Freight, U.S. Xpress, Werner, Covenant, Schneider, and Ryder.
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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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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.
$271,000 - $460,000 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Familiarity with Machine Learning platforms offered by Google Cloud and how to implement them on a large scale (e.g. BigQuery, GCS, Dataproc, AI Notebooks). Advanced degree (Master or PhD) in Machine Learning, Computer Science, Engineering, Statistics, or a related quantitative field.
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This team invents and applies machine learning, data mining, and informational retrieval algorithms to understand, identify, and improve web content discovery. RoleWe are looking for a hands on Engineering Leader to spearhead the Data Science and Machine learning charter.
Full-timeExpandApply NowActive JobUpdated Today
infrastructure machine learning jobs Title: director in Mountain View, Troy, New York
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