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Data science, machine learning, optimization models, PhD 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.
$143,000 - $286,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Data science, machine learning, optimization models, PhD 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, Supervisory experience, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Practical hands on experience with: Building large-scale event driven systems and relevant services (Kafka, Confluent, RabbitMQ) and streaming based data pipelines. Our software combines AI, machine learning, and behavioral science to power best-practice solutions for settings across the hospital and system.
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In-depth comprehension of data science concepts and tools, encompassing machine learning algorithms, statistical analysis, and proficiency in data visualization libraries. We are in search of an accomplished and strategic Senior Programmatic Advertising Data Scientist to elevate our team’s capabilities.
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Your work will help researchers make breakthroughs in the field of machine learning as well as bring new innovations to Bosch business units at scale. 3+ years’ experience as a software engineer, Machine Learning engineer, or DevOps engineer (Python preferred.
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Experience with training machine learning models through Cloud Services including Google Cloud Platform and Microsoft Azure. Have a MS/PhD in relevant technical degree (preferably Computer Science, Machine Learning, Applied Mathematics, Statistics, Engineering etc.
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The Mercedes-Benz Data and AI team is seeking a hands-on machine learning expert for research, design, and development of cutting-edge technology applied in projects that will shape the future of Mercedes-Benz vehicles with the goal of enhancing our customer's experience.
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Team members are engaged in the design and optimization of low level computational support for all aspects of machine learning and computational primitives in service of models such as Text to Speech, Voice Isolation, Apple Music Sing to mention a few.
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AWS Machine Learning accelerators are at the forefront of AWS innovation and one of several AWS tools used for building Generative AI on AWS. The Inferentia chip delivers best-in-class ML inference performance at the lowest cost in cloud.
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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.
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You will identify an applied machine learning problem in the enterprise search and question answering ecosystem. You will learn practical modeling skills, as well as software skills to be a successful machine learning engineer.
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The Principal Data Scientist / Applied Machine Learning Scientist – Computational Advertising is a critical data science/applied machine learning role that uses cutting-edge machine learning, deep learning, big data mining and optimization techniques to solve the challenging problems from ads relevance, ranking to campaign optimization.
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Solid understanding of HIPAA compliance and its implications for data processing and machine learning in healthcare is a plus. Foster a culture of innovation, continuous learning, and adherence to best practices in machine learning and data security.
$180,000 - $225,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Familiarity with scientific data analysis tools, such as: MATLAB, PLS, PCR, IGOR Pro, Horizon, Origin, LabVIEW, Python, etc. Extensive experience in experimental laboratory work using lasers, detectors, analog/digital signal processing and data acquisitions (DAQ.
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In this role you will work closely with our machine learning team, data infrastructure team and every core skill. Collaborate with cross functional teams of engineers, data analytics, machine learning experts, and product to build new features.
$180,000 - $221,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago
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