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Open to: Machine Learning Engineer, Software Engineer (machine learning), Applied Scientist, Research Scientist. We are seeking an Applied Scientist to lead our forecasting initiatives, developing cutting-edge advertising products and technologies that impact billions in revenue and address complex challenges in infrastructure, algorithms, and machine learning.
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Foundation Model Infrastructure team, within Machine Learning Platform Technologies organization is the back-bone of Apple Intelligence. Familiar with fundamental Deep Learning architectures such as Transformers, Encoder/Decoder models.
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The FBA team is looking for a passionate, curious, and creative Principal Research Scientist with expertise in operations research, machine learning or statistics, along with a proven record of solving business problems through scalable modeling and analytical skills.
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Production-level experience with core quantitative analysis techniques (e.g., predictive modeling, machine learning, artificial intelligence, or natural language processing) in a consulting environment.
$120,000 - $186,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The AI for Science team has been focusing on tackling challenges in natural sciences, including biology, physics, and materials, with computational tools such as Machine Learning, Computational Chemistry, High-throughput Computation.
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Using natural language processing (NLP), machine learning (ML), Generative AI, and other relevant AI technologies and platforms; Building machine learning models and systems, interpret their output, and communicate their results to internal/client teams and how those outcomes realize business value.
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You have a good understanding of machine learning pipelines and machine learning frameworks such as TensorFlow and Pytorch. Machine Learning Engineer III. You will work in a cross-functional team of Machine Learning engineers and Machine Learning Scientists to design and code large scale batch and real-time ML.
$137,500 - $220,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proven experience with enterprise-scale technical delivery experience with AI Services including OpenAI, Schematic Kernel, AWS Bedrock, Machine Learning (or equivalent), Generative AI, LLM customization, NLP, Search, MLOps, Open-source AI frameworks, AI Infrastructure, architecture designAbility to align AI/ML initiatives with broader business goals and outcomes, understanding how AI can drive value and competitive advantage.
$174,000 - $218,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience in supporting Deep Learning, Machine Learning or HPC networking infrastructures; experience with networking technologies as well as understanding deep learning frameworks such as TensorFlow or PyTorch.
$120,000 - $230,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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You will closely collaborate with SDS product and engineering teams to design the conversational AI solutions and drive intelligence and innovation in how we improve Amazon driver and recipient experience, build cutting-edge machine learning and generative AI applications to automate and enable self-service for the Amazon Logistics delivery partners, and continuously improves the delivery experience for Amazon drivers and customers.
$196,900 - $340,300 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Machine Learning Scientist - NLP - Sr. Associate As a Machine Learning Scientist - Natural Language Processing (NLP) - Vice President, you will apply sophisticated machine learning methods to complex tasks including natural language processing, speech analytics, time series, reinforcement learning and recommendation systems, collaborate with various teams, and actively participate in the knowledge sharing community.
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Professional expertise relevant to developing hardware and software IoT and robotic applications for new problem areas, in any of the following areas: hardware architecture, processing platforms and sensing technology, data processing and analysis, Machine Learning, database development, robotics, and data visualization.
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There is an abundance of challenging and sophisticated work here, thus you will be exposed to a diverse array of complex technologies (e.g., robotics; kinematics; structural engineering pertaining to complex dynamic systems; machine design; automated manufacturing machines, equipment, and related control systems; mechatronics; application of state-of-the-art machine learning (ML) and artificial intelligence (AI); optical systems, etc.
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Familiar with commonly used machine learning and deep learning algorithms, understand basic network model structure (DNN/LSTM/CNN, etc.) Experience in one of the following fields: machine learning, NLP, and computer vision.
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Our Intelligent Protein Design Technology™ merges computational protein design, machine learning, and synthetic biology tools to produce proteins, enzymes, and bio-based processes more efficiently than even Mother Nature.
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machine learning jobs Title: assistant in Bellevue, WA
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