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They have opportunities to work with AE faculty and NASA engineers to design, build, test, and launch microsatellites like the , participate in the design, building, and testing of our brand new hypersonic facility, learn how to use machine/deep learning for structural health monitoring, optimize spacecraft trajectories or explore the potential of electric and hybrid propulsion systems for general aviation, commuter, and large air transports.
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Deep applied experience or academic expertise with 2+ of the following areas: ML, NLP, LLMs/RAG, deep learning, or statistical learning theory. As An ML Engineer, You’ll Work With Product And Engineering Teammates To Build Core ML Offerings From The Ground Up. Examples Of Projects Include.
$250,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We have an immediate need for a contract-to-hire Cybersecurity Engineer Specialist, Red Team Penetration Tester to join an industry-leading payments technology and solutions organization. Conduct comprehensive White Box, Grey Box, Black Box penetration testing and vulnerability assessments on our payment software applications, infrastructure, and systems.
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The Machine Learning (ML) System sub-team combines system engineering and the art of machine learning to develop and maintain massively distributed ML training and Inference system/services around the world, providing high-performance, highly reliable, scalable systems for LLM/AIGC/AGI.
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This role is for a machine learning engineer in the Distribute Training team for AWS Neuron, responsible for development, enablement and performance tuning of a wide variety of ML model families, including massive-scale Large Language Models (LLM) such as GPT and Llama, as well as Stable Diffusion, Vision Transformers (ViT) and many more.
$223,600 a yearFull-timeExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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Mentor junior software engineers. Test major portions of software (e.g., significant component, set of features, applications or services) for large-scale, critical, and/or highly complex software.
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San Francisco, California (Hybrid On-Site): $174,900 - $199,700 for Senior Machine Learning Engineer. New York City (Hybrid On-Site): $165,100 - $188,500 for Senior Machine Learning Engineer.
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Capgemini Engineering has more than 55,000 engineer and scientist team members in over 30 countries across sectors including Aeronautics, Space, Defense, Naval, Automotive, Rail, Infrastructure & Transportation, Energy, Utilities & Chemicals, Life Sciences, Communications, Semiconductor & Electronics, Industrial & Consumer, Software & Internet.
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Required Skills: Min. 10 Years of experience in IT, Data Science - AI (Artificial Intelligence) & ML (Machine Learning) modelling, DFT, QM/MM, and Cheminformatics / Chemoinformatics, RDKit, chemistry concepts (structure, reactivity, properties), Python Programming etc.
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We are a multidisciplinary algorithmic trading team with expertise in machine learning, numerical optimization, software engineering, distributed systems, electricity markets, and trading.
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The DFT engineer will collaborate with cross-functional teams to implement cutting-edge designs in test access mechanisms, IO BIST, memory BIST, and scan compression. They will contribute to the development and deployment of DFT methodologies for next-generation products.
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Perform thermal and structural analysis using finite element analysis software packages (Ansys). Develop conceptual and detailed designs using 3D modeling software packages (ProE/Creo, etc.
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As a Staff Software Engineer, you will help shape and scale the GPU accelerator control plane to support the next generation of GPU accelerators. As a software engineer, you will work on a specific project critical to Google Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve.
$284,000 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.
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Being the cybersecurity partner of choice, protecting our digital way of life. Solid understanding and usage of Python, SQL, and working knowledge of one or more non-relational databases such as ElasticSearch, Cassandra, BigQuery, etc.
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