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Minimum of 5-8+ years of relevant experience in machine learning research or ML engineering in an academic (e.g., PhD) or industry research lab. This role will contribute to the development and application of Arc’s frontier DNA foundation model (Evo), Arc’s Virtual Cell Initiative focusing on developing cell biological models capable of predicting the impact of perturbations and stimuli, and other projects in the context of Institute-wide machine learning efforts.
$234,550 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Program, set up, and machine quality precision parts per specification, using CNC Swiss machines while working under minimal supervision. Set up and operated Swiss CNC machines and produced parts: generally, worked on more complex parts that required a higher skill level and knowledge of all machining operations.
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5+ years of professional work experience in data science and machine learning. With your expertise in data analysis, statistical modeling, and machine learning and your passion for solving complex problems and generating actionable insights you will be able to contribute to the success of our projects.
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PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field, or Master's degree. 4+ years experience in building machine learning and deep learning models for large scale customer facing product of features.
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Publications or patents in relevant fields of machine learning and autonomous driving. 5+ years of industry experience in machine learning, with a focus on perception and prediction systems for autonomous vehicles.
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Preferred Qualifications: 2+ years of experience as a developer, data scientist or machine learning engineer in addition to 2+ years of experience in a TPM role Prior development or management experience on a Machine Learning Platform in a large tech company Hands-on experience with cloud technologies and service oriented architectures Track record of using data analytics for improving SW operations and organizational efficiency Advanced degree in an analytical field.
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Apply software engineering, machine learning, and compound AI system engineering to create lasting value for all our customers. Use your knowledge of machine learning fundamentals and LLMs to design new algorithms and architectures, evaluate them with small scale experiments and productionize your solutions at scale.
$257,000 a yearFull-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
$200,000 a yearFull-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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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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They are looking to add an Azure Architect with a focus on Machine Learning. Experience configuring Microservices using Docker, and Kubernetes on Azure Databricks. Expert level in designing and architecting solutions in Azure Data Factory, Azure Databricks, Azure Data Lake, Delta, Lake, and Azure Synapse analytics implementation.
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We are building an impactful full stack team of talented engineers to design, train and integrate machine learning capabilities that can be deployed across multiple platforms. The ideal candidate will be responsible for researching, designing, training, and implementing machine learning capabilities across various platforms to address real-world problems faced by millions of HP customers everyday.
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MBRDNA is headquartered in Silicon Valley, California, with key areas of Autonomous Driving, Advanced Interaction Design, Digital User Experience, Machine Learning, Customer Research, and Open Innovation.
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The post-doctoral fellow will apply machine learning and/or other data science techniques to conduct scientific research, improve remote sensing data products and analysis, integrate machine learning with physics-based models, and/or improve processing of remotely-sensed Earth Science data.
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Research focuses on testing and evaluating emerging quantum hardware, investigations of quantum mechanisms that may be used to provide a quantum advantage, development of new algorithms and software for quantum computing, and application of quantum computing to a range of real-world problems involving planning and scheduling, machine learning, and fault diagnostics.
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8+ years of work experience as a machine learning engineer, data scientist, and software developer, preferably at least two years at a seed, Series A, or Series B company. Own the design and implementation of our Machine Learning infrastructure.
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machine job Title: director of engineering in Mountain View, CA
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