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Research and apply cutting edge ML techniques, like LLM, multi-modal modeling, distillation, human-in-the-loop systems, etc. MS or Ph. D degree in Computer Science, Machine learning, Statistics, or related field.
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We use state-of-the-art large-scale machine learning technology, the cutting-edge NLP, CV and multi-modal technology to build the industry's top-class search engine to provide the best e-commerce search experience, for more than 1 billion monthly active TikTok users around the world.
$199,500 - $340,100 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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About the RoleYou will be leading a team of world-class engineers in Machine Learning science, redefining Merchant experience through cutting edge approaches, and providing a consistent, personalized experience to our merchants, no matter where they sit on their journey with us.
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10 years of experience in building data science, machine learning solutions using Python, Scala, Spark DataBricks, SQL or similar. Develop and implement machine learning models for predictive analytics, classification, clustering, and optimization.
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We leverage cutting-edge technologies such as big data, machine learning, AI, real-time analytics, and high-volume, low-latency, high-availability services to achieve these goals.
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They will play a crucial role for designing, implementing, and optimizing cutting-edge machine learning systems and help lead our team to success. Strong knowledge of cloud computing platforms (e.g., AWS, Azure, GCP) and experience building cloud-based machine learning systems.
$162,500 - $243,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As a Senior/Principal Product Manager for ML Platform at Snowflake, you will be at the forefront of building and integrating cutting-edge ML technologies into our cloud data platform. Conduct research and competitive analysis to identify new opportunities in the field of Machine Learning and Data Science.
$214,000 - $327,700Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The opportunities include developing a cutting edge run-time system, pushing the envelope on machine learning based natural language processing in TTS and deploying AI/ML models to benefit millions of users.
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Conduct and oversee cutting-edge research in AI subfields relevant to financial services, including machine learning, deep learning, natural language processing (NLP), computer vision, and reinforcement learning.
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Must have 8+ years of experience in building data science, machine learning solutions using Python, Scala, Spark DataBricks, SQL or similar. Research and experiment with cutting-edge techniques in data science and artificial intelligence, including advancements in GenAI.
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Investigate and harness cutting-edge machine learning methodologies, including deep learning, large language models (LLMs), and graph neural networks, to address diverse challenges throughout the company.
$180,625 - $212,500 a yearFull-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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Establish scalable, efficient, automated processes for data analysis, machine-learning model development, model validation and serving. We leverage cloud computing, big data & streaming technologies, analytics and machine learning to enable customer centric data-driven decisions.
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Applied scientists are specialists with deep expertise in areas such as machine learning, speech recognition, natural language processing, computer vision, knowledge acquisition, etc. Working on cutting-edge suitability climate change AI. They will be using state-of-the-art technologies including generative AI, large language modules, and access to clients' internal tools to experiment with these technologies.
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Your role involves working with cutting-edge technologies like Azure Databricks, Azure Synapse, and Azure Data Lake to construct robust data pipelines and infrastructure components. Minimum years experience with machine learning Apache Spark.
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In your role you will be instrumental in developing and deploying cutting-edge software applications and underlying tooling to deliver machine learning models. Proficiency in programming languages such as Python, R, or Java, C# and experience with machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn.
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cutting edge machine learning jobs in Bellevue, WA
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