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The Team: The Neuron Compiler team is developing a deep learning compiler stack that takes state of the art LLM and Vision models created in frameworks such as TensorFlow, PyTorch, and JAX, and makes them run performantly on our accelerators.
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As a Principal Scientist/Machine Learning Engineer you will play a pivotal role in shaping the future of our innovative projects. Your work will focus on areas like CTR and conversion modeling, UX optimization, price optimization, and NLP. We encourage continuous learning and experimentation with new deep learning architectures, allowing you to prototype, test, and deploy your groundbreaking solutions in a dynamic and impactful environment.
$260,000 - $300,000 a yearFull-timeExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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Extensive exp in Computer Vision, Machine Learning, Deep Learning, or other relevant areas of Artificial Intelligence (e.g., as evidenced by industry experience, publication record.
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Familiar with commonly used machine learning and deep learning algorithms, understand basic network model structure (DNN/LSTM/CNN, etc.) Proficient in using at least one mainstream deep learning frameworks such as TensorFlow/PyTorch, understanding distributed training, distillation acceleration, and other implementation methods.
$194,000 - $355,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Have expertise in modern deep learning techniques via packages such as PyTorch, Keras/Tensorflow. As a Sr Machine Learning Engineer on the team, you will build algorithms and data applications that leverage the power of data (real and synthetic) to improve model training efficiency and performance.
$161,700 - $284,900 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We are seeking a highly motivated, experienced, and talented Machine Learning Engineer to join our AI research team and contribute to our innovative projects in the field of Large Language Modeling (LLM) and clinical data analysis.
$152,000 - $205,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Machine Learning Engineer, Applied Science and Technology, Environmental AI. You are a machine learning engineer passionate about AI for Earth. Expertise in both NLP (including LLMs) and CV. If you are not comfortable working with state of the art deep learning (both NLP and CV), this is not a good fit.
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The group presents lot of opportunity for optimization and scaling large deep learning models on Trainium architecture. This role is for a software engineer in the Machine Learning Applications (ML Apps) team for AWS Neuron.
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Strong understanding of machine learning approaches and algorithms: Deep Learning, LLM, Generative Models, NLP. PhD in a relevant field (computer science, machine learning, AI, statistics, physics.
$254,600 - $538,400Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience in machine learning, deep learning, information retrieval, natural language processing or data mining. This involves developing sophisticated machine learning models, using word embeddings and deep learning to understand the quality of matches, online learning to react quickly to change, natural language processing to understand queries, taking advantage of petabytes of data and signals from millions of users and combining information from multiple sources to provide the user with results that best satisfies their intent and information seeking needs.
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5 years of experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning, or natural language processing. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve.
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5+ years of experience in AI/ML and is familiar with the latest deep learning techniques. Ability to dive deep into the algorithms / systems and generate ideas of improvements. Preferred Skills: Knowledge in e-commerce or eagerness of learning it.
Starting at $159,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The ideal candidate has at least two years experience working in audio machine learning, experience deploying deep learning models to production, and a love for programming and music.
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Lead the effort for Merchant machine learning: Applying supervised, semi-supervised, LLM, Deep Learning, Multi-modality AI to improve or Merchant experience and build new merchant’s productsLead the team to build AI powered products for restaurants onboarding, build logistic ETA that provides the most accurate and robust time prediction for non-restaurants DoorDash logistics service, improve tax categorization prediction.
$201,900 - $302,900 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Strong skills in NLP, LLMs and deep learning. AWS or GCP) and developing machine learning models in a cloud environment. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
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deep learning jobs Title: machine learning engineer in Seattle, Dothan, Alabama
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