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In-depth understanding of modern machine learning (e.g. deep learning methods), models, and their mathematical underpinnings. 7+ years of relevant experience developing machine learning models, performing large-scale data analysis, and/or data engineering experience.
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The Behaviors Teams at Cruise are responsible for developing machine learning models to enable our AV to drive smoothly and safely around an urban environment. PhD in machine learning or computer science.
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Machine learning background in Python; experience with PyTorch, TensorFlow, or similar frameworks and familiarity with Natural Language Processing (LLM, Entity Recognition, Entity Resolution, Classification), Graph-based Models, and Computer Vision.
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Algorithm Development and Maintenance: Utilize cutting edge machine learning methods to deploy and develop algorithms for personalization, recommendation, and other predictive systems; maintain algorithms deployed to production and be the point person in explaining methodologies to technical and non-technical teams.
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Support the Data Science team in deploying novel algorithms along with optimizing existing machine learning systems to maximize their value and increase consumer satisfaction at every brand touchpoint.
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You have a strong background in data science, machine learning, graph mining, and graphical modeling algorithms. Altana provides the world's only dynamic, intelligent map of the global supply chain - the Altana Atlas - using AI and machine learning models to connect with and learn from massive sets of public and private data.
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Coactive was founded by experts who shaped the fields of high-performance deep learning and data-centric AI. We have the scars from building and working with the first generation of modern machine learning systems at Google, Meta, Pinterest, eBay, Lyft, and other leading organizations.
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San Francisco and San Jose, California (Hybrid On-Site): $291,100 - $332,300 for Distinguished Machine Learning Engineer. Sales Territory or Remote (Regardless of Location): $232,900 - $265,800 for Distinguished Machine Learning Engineer.
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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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We have a unique mix of in-house cutting-edge machine learning research (led by our co-founder Piotr, who was previously a researcher at Google) and strong product-led traction (led by our co-founder Mati, who was at Palantir before and after the IPO.
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You will sell and support our Cardiopulmonary portfolio of industry-leading, life-saving devices such as the Essenz Perfusion System Heart Lung bypass machine, Xtra Autotransfusion System, Inspire Oxygenators, and various other disposable products.
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Backend systems and scale such as distributed systems / event-driven, low latency or multi-threading or machine learning. Go, Python, Linux, Kafka, AWS, Redis, Docker, Kubernetes, Cassandra, Terraform, Envoy, Node. JS.
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We're looking to hear from entrepreneurial candidates who have 8+ years exp in machine learning / deep learning and are interested in co-founding opportunities. LLM Fine-Tuning and Transfer Learning: Proven experience in fine-tuning LLMs for specific tasks or industries, including the use of transfer learning techniques to adapt pre-trained models to new domains or requirements.
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If you are a driven, detail-oriented data scientist with experience in model risk management (OCC standards), who thrives on building and deploying complex machine learning models at scale, we'd love to hear from you.
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Our team is made up of problem solvers, innovators and top AI researchers with over 20+ years of experience in Machine Learning, NLP, and Speech Recognition from companies like DeepMind, Google Brain, Meta, Apple and Amazon.
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machine learning jobs Title: machine learning researcher in San Francisco, MO, Wyoming
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