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This is achieved through our cutting-edge in-house LLM training and inference infrastructure, which allows us to create intelligent LLMs tailored to our customers’ needs and serve the model at scale with low latency.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Publications or active peer reviewer in related journals or conference, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch)Primary Location.
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Borne out of IDI, OmniBridge is a team of innovators using cutting edge AI to develop an innovative communication tool that goes beyond a simple American Sign Language translation app by creating immediate and seamless conversation between the hearing and the deaf.
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The Campaign Measurement & Optimization (CMO) organization is looking for a Applied Science Manager interested in solving one of the most challenging business problems in marketing measurement and developing cutting-edge ML model.
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This is an opportunity to work on interesting data engineering anddata science problems, build large scale distributed machine learningsystems from the ground up, anduse cutting edge Big Data technologies like Spark, Kafka, HBase and Hive. RESPONSIBILITIES: ● Design and implement data pipelines empowering real timeinsights.
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Consider joining the Video Computer Vision (VCV) organization, where we excel in real-time video analysis and cutting-edge reasoning algorithms. Familiarity with commercial and/or open-source storage frameworks and compute platforms such as Apache Spark, Apache Flink, and Ray. Knowledge of analytics databases like Snowflake, Redshift, and BigQuery.
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The team is at the intersection of cutting-edge machine learning research and large-scale end-to-end production systems. 5-7 years+ of hands-on experience in one or more of the areas: recommender systems, machine learning, deep learning, pattern recognition, data mining, computer vision, NLP, content understanding or multimodal machine learning.
$172,000 - $337,280 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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As a Senior Machine Learning Engineer, you will have the opportunity to build and lead a new team focused on developing cutting-edge machine learning solutions for our industry-leading Zero Trust security products.
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Strong understanding of machine learning principles, especially in the context of LLMs.5+ years of proficiency in Python, including machine learning packages like Jax/Tensorflow or PyTorch.
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You must have expert knowledge of the principles, algorithms, and techniques in video and image processing, or machine learning, or computer vision technology. You will research and develop cutting edge technologies that will power the next generations of state-of-the-art video compression and processing.
$180,700 - $220,800Full-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Collaborate closely with ML Researchers and Machine Learning engineers to accelerate the training of the cutting-edge ML models. What you will be impacting:Design and implement reusable and scalable training framework that supports different deep learning models in large-scale and distributed environments.
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We are seeking a highly motivated and skilled intern to join our CTO Office for a summer internship focusing on development tasks related to Machine Learning (ML), Artificial Intelligence (AI), and Large Language Models (LLMs) such as OpenAI's GPT. This position offers the opportunity to work on cutting-edge technologies in a dynamic and innovative environment.
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Proficient in AI and machine learning frameworks (e.g., TensorFlow, PyTorch). Stay informed about the latest trends, tools, and technologies in AI and machine learning. Stay abreast of the latest advancements in generative AI and integrate cutting-edge techniques into our systems.
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AMD is looking for a skilled and experienced engineer to join a core team of incredibly talented industry specialists working on developing a cutting-edge machine learning model compiler targeting AMD Inference Accelerator AIE hardware devices.
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Ligadata is a cutting-edge data analytics company that leverages machine learning to empower businesses with actionable insights. As a Senior Software Hadoop developer, you will be involved in database management, operating system integration, storage solutions, application processing, and monitoring.
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