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Our current backend stack is Python, Rust, TensorRT-LLM, Kubernetes, AWS. You will work on designing and implementing machine learning models that drive our recommendation systems, retrieval algorithms, and classifiers.
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The Data Science team is hiring an experienced Machine Learning Engineer with a background building machine learning and statistical modeling frameworks from scratch.
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TRM leverages big data and machine learning to prevent cryptocurrency fraud and financial crime. Our products are trusted by leading companies including PayPal, Visa, FTX, Uniswap, Anchorage, and federal agencies such as the FBI and IRS. Every day, we tackle challenges in data engineering, data science, and threat intelligence to advance our mission to build a safer financial system for billions of people.
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We are looking for someone who has experience primarily as a machine learning engineer or modeler, as well as a software engineer, as we operate at the intersection of those two roles.
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OSARO is a San Francisco-based startup company building machine learning software for industrial automation, to power robots in logistics and material handling centers. You will collaborate with Operations, Software, and Machine Learning teams to research, design, integrate, test and deploy new robotic hardware including: robot cell designs, end effectors, cameras, lighting, HW control devices (PLCs, I/O couplers, sensors, etc), pneumatics, actuators, custom mechanisms.
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We are looking for a senior Machine Learning Engineer with deep expertise in attribution space (just like you!) Experience in building, deploying, maintaining and sunsetting large-scale machine learning models and systems in production environments using TensorFlow, Keras, PyTorch, Scikit-Learn, AWS, Azure, Google Cloud.
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As a Staff Machine Learning Engineer you will take the lead on building new or updating data driven product features. Hands-on experience with machine learning and NLP tools and libraries including Numpy, Scipy, Scikit-learn, SpaCy, NLTK, Torch, Tensorflow, Keras.
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We are looking for a Machine Learning Engineer in Perception that will invent pragmatic, long-term and stable software solutions to sophisticated problems. PhD in machine learning or computer science.
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Implement real-time cutting edge algorithms in signal processing, computer vision, and machine learning. Propose, prototype, and deliver new methods and machine learning models to multiple production environments including Linux and mobile (iOS, Android.
$175,000 - $220,000 a yearFull-timeExpandApply NowActive JobUpdated 22 days ago - UpvoteDownvoteShare Job
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Must successfully complete competency-based interview with a focus on high performance computing disciplines (such as CFD, FEA, Molecular Dynamics, Weather Forecasting, Computational Chemistry, Reservoir (Seismic) Simulation, Media Rendering, Machine Learning, Financial etc.
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Our tenant is a strong cross-domain team to deliver E2E solutions covering tech areas ranging from machine learning, big data, microservices to data visualization. Our team is seeking a senior software engineer who will be a core team member for our advertising targeting & decisioning engineering group.
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Our founding team is made up of experts in AI, compilers, and ML hardware and has led efforts at companies like Amazon, Google, Microsoft Research, Nvidia, Intel, Qualcomm, and IBM. Our co-founder and CEO, Gennady Pekhimenko, is a world-renowned expert in ML systems who holds multiple academic and industry research awards from Google, Amazon, Facebook, and VMware.
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You have demonstrable experience applying Machine Learning, including both Deep Learning (PyTorch) and Classical ML (Scikit-Learn) This means that we want to continuously improve our method of doing Data Science / Machine Learning, and our knowledge of trends and techniques relevant to our areas.
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The Personalization Machine Learning (PML) team strives to create a personalized experience on Cash App and Afterpay by tailoring recommendations and search ranking results for our customers.
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The goal of a Machine Learning Engineer at Scale is to bring techniques in the fields of computer vision, deep learning and deep reinforcement learning, or natural language processing into a production environment to improve scale.ai’s products and customer experience.
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companies hiring machine learning engineer jobs Company: Crowdai in San Francisco, Bentonville, Kansas
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