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We are hiring a Machine Learning Engineer to be involved in designing and building large-scale applications and systems to acquire, process, and store multi-terabytes of YouTube, TikTok, Facebook and other social media data.
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We are a pioneering Machine Learning team at TikTok, committed to spearheading innovation in leveraging cutting-edge technologies in foundation models to enhance TikTok's experience, an avenue that our organization sees as a very promising future direction.
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Requires a Master's degree (or foreign equivalent) in Machine Learning, Computer Science, Robotics or a directly related field plus one (1) year of experience as a Research Engineer or related occupation.
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4+ years experience as an Machine Learning Engineer, Applied Scientist, or similar role. As a Senior Machine Learning Engineer, you will be responsible for developing ML solutions to increase the safety, efficiency and sustainability of the physical operations.
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Experience with one or more of the following: Machine Learning, Deep Learning, NLP, ranking systems, recommendation systems, backend, large-scale systems, data science, full-stack.
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Terray is currently seeking a motivated, creative, and experienced machine learning engineer. As an integral member of our Computational and Data Sciences (CDS) team, the candidate will be responsible for developing and deploying state-of-the-art machine learning models trained on up to billions of small molecule affinity/activity data points in order to accelerate drug discovery efforts internally and for our partners.
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Established expertise and genuine passion for natural language processing (NLP), machine learning, deep learning, and large language models. Experience crafting machine learning models in cloud environments like AWS or GCP, with specific knowledge of Sagemaker being a plus.
$180,000 - $306,000Full-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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CUDA, Triton, GPU Kernels, AI, LLM, AGI, scalability, hardware efficiency, computational engineering, multi-GPU coordination, memory enhancement, software architecture, analytical skills, code optimization, machine learning application.
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As a Staff Data Engineer at Prime, you will be solving problems around data modeling, scale, integrity, denormalization, availability, warehousing, analytics, machine learning infrastructure, and the list goes on.
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A track record of commitment to prior employers 5+ years of professional development experience as Machine Learning Engineer, Data Scientist or related role 5+ years of programming experience with modern languages such as Python, C#, Java, or Scala.
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Machine Learning Engineer/AI Engineer. Machine Learning Engineer/AI Engineer. Data Science / Machine Learning => 5/10 experience.
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Our robotic systems combine sensor information, cutting edge classical/machine learning (ML) algorithms and a robotics real-time system platform for control, decision making and execution.
$120,000 - $150,000 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Senior Machine Learning Engineer / Senior Data Scientist. We do this by developing genuinely new machine learning systems and applying it in exciting and novel ways, please see our publications in the About the Data Science Team section below.
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Experience with streaming data ingestion, machine-learning, Apache Spark a plus. We are looking for a Senior Data Engineer with hands-on experience working on structured/semi-structured/Complex data processing and streaming frameworks.
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Extensive experience with Python for data science and machine learning software development e.g. Flask, FastAPI, Docker. Partner closely across the machine learning, platform, and product engineering teams to train models to solve product problems and productionize data science and machine learning artifacts.
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machine learning engineer jobs in Pasadena, CA
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