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In this role you are passionate, talented, and inventive Machine Learning Engineer with a strong background in ML and AI to help develop solutions by pushing the envelope in Generative AI, Time Series, Automatic Speech Recognition (ASR), Natural Language Understanding (NLU), Machine Learning (ML) and Computer Vision (CV.
$223,600 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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At least one significant work experience as a machine learning engineer at Meta, Amazon, Apple, Netflix, Alphabet or a similar tech giant (e.g., Microsoft, Nvidia, Adobe, Tesla, Intel, Stripe, Uber, Salesforce.
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A graduate degree (Masters/PhD) in computer science, computer engineering, electrical engineering, mechanical engineering, aerospace engineering, or similar technical discipline with an emphasis on artificial intelligence and machine learning.
ExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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As a machine learning engineer, you will help build and fine-tune the foundation models which power Udio. We are hiring both senior and junior machine learning engineers. Familiarity with a deep learning library: Pytorch, Jax, or Tensorflow.
$300,000 a yearFull-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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Experiences related to machine learning, deep learning, NLP, CV, GNN, or distributed training. 2+ years of relevant experience in developing and deploying large scale machine learning or deep learning models and/or systems into production, including batch and real-time data processing, model containerization, CI/CD pipelines, API development, model training and productionizing ML models.
$223,600 a yearFull-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Demonstrated expertise in machine learning, deep learning, and NLP, with a strong portfolio in large language models like GPT-3, BERT, and RAG.Advanced proficiency in Python, with hands-on experience in ML libraries and frameworks such as TensorFlow and PyTorch.
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Machine Learning Research: PyTorch, ONNX, TensorRT, TFjs, YOLO, Transformers, COCO. Roboflow is hiring our first research engineer on the machine learning team to drive research initiatives that improve the growing suite of machine learning tools that underpin the Roboflow application.
$120,000 a yearFull-timeExpandApply NowActive JobUpdated 23 days ago - UpvoteDownvoteShare Job
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The Vertex AI Machine Learning Engineer will be responsible for developing, deploying, and managing machine learning models using Google Cloud's Vertex AI platform. Synechron is looking for a Vertex AI Machine Learning Engineer.
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Machine Learning | Physics | Embedded Systems | Signal Processing | Data Analysis | Nvidia | Electrical Engineering | Cloud Computing | Cuda | TensorRT | Radio Frequency | Transmission Processing | Linux OS | Pytorch | Python | Causal Inference.
$200,000 a yearFull-timeExpandApply NowActive JobUpdated 23 days ago - UpvoteDownvoteShare Job
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3+ years of experience with developing Machine Learning/Deep Learning methods to solve scientific problems, with a particular interest towards applications to protein modeling as well as adjacent fields such as genomics, chemistry, immunology, or physics.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Machine Learning and Deep Learning: Good understanding of: ML algorithms like linear regression, logistic regression, etc., supervised, unsupervised, and reinforcement learning, AI Frameworks like TensorFlow, PyTorch, scikit-learn etc., Neural network, NLP, computer vision, and predictive analytics.
$163,200 a yearFull-timeExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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Design, develop, and implement machine learning algorithms and artificial intelligence systems to solve complex problems. Have expertise in both machine learning and DevOps practices, ensuring seamless integration of ML solutions into the software development lifecycle.
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We are seeking a talented and motivated machine learning engineer to join the team leveraging extensive clinical data resources to develop, validate, and deploy cutting-edge ML technology.
$145,000 a yearFull-timeExpandApply NowActive JobUpdated 24 days ago - UpvoteDownvoteShare Job
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Familiarity with cloud platforms and services (e.g., AWS, Google Cloud, Azure) for deploying machine learning models. Ph. D. or Master’s degree in Computer Science, Electrical Engineering, Statistics, or a related field with a focus on machine learning or artificial intelligence.
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Leveraging state of the art machine learning/econometrics techniques together with PayPal’s huge proprietary database you will predict and quantify account-level credit risk which will drive PayPal’s credit-related loss reserves.
$204,600 a yearFull-timeExpandApply NowActive JobUpdated 20 days ago
machine job Title: machine learning in Newark, NJ
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