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As a Machine Learning Engineer at TRM Labs, you will collaborate with an experienced team of engineers, data scientists, and research scientists to build scalable systems to detect, prevent, and mitigate cryptocurrency fraud and financial crime.
$50,000 - $130,000 a yearInternExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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10+ years of professional experience as a data scientist or machine learning engineer with proven track record of delivering functional product oriented ML solutions. Boston, MA, Brooklyn, NY, San Francisco, CA, Washington, D.C., Remote, London, England 11-10-2023 HealthTech Azure Elasticsearch Docker AWS Python Machine Learning.
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Requirements: BS in engineering, computer science, math, physics, or related field and 2 years of experience as an Application Engineer, Pre-sales engineer, Post-sales engineer, Customer Success manager, or Customer Success engineer.
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The Staff Machine Learning Engineer is a versatile role in Behaviors that drives a wide spectrum of applied ML research and development to overcome challenges on urban roads. This Includes Working On a Variety Of Really Exciting Problems Such As The Behaviors Teams at Cruise are responsible for developing machine learning models to enable our AV to drive smoothly and safely around an urban environment.
$183,600 - $270,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Overview of the Software Engineer - Machine Learning roleThe Williams-Sonoma, Inc. Technology organization seeks a talented Software Engineer - Machine Learning to assist with developing strategies, roadmaps, frameworks and solutions as a key member of our AI & Machine Learning team.
$100,000 - $130,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We achieve this vision by providing unified, configuration-driven, and fully orchestrated machine learning APIs, customer-facing declarative interfaces and various microservices for the entire machine learning lifecycle including Data, Training, Predictions/scoring, Orchestration, Model Management, Model Storage, Experimentation etc.
$151,800 - $323,400 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Work cross-functionally with product, platform, security, and data engineering teams to unlock new machine learning applications. This team builds and integrates ML solutions for evaluating customer cash flow risk including risk of default on credit obligations, risk of fraud & abuse of loans and other situations where Cash App advances funds or provides liquidity to customers.
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Coactive was founded by experts who shaped the fields of high-performance deep learning and data-centric AI. We have the scars from building and working with the first generation of modern machine learning systems at Google, Meta, Pinterest, eBay, Lyft, and other leading organizations.
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Lead Machine Learning Engineer. 3+ years experience developing ETL workflows as a data analytics engineer, data engineer, or data analyst. Working with our business operations, finance, sales, marketing, product, and insurance teams to design and build data sets to drive Vouch’s business.
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As a data scientist, you will be tackling time-series based machine learning problems to help build the next generation of algorithms that will provide early prediction for these patients and their doctors.
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We are looking for a highly motivated and experienced Machine Learning Engineer to join our team and help us shape the future of machine learning at Grindr. Use machine learning, natural language processing, and graph analysis to solve modeling and ranking problems across dating, personalization, growth, discovery, ads and search.
$250ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We're seeking a talented Front-End Engineer to join our team and help us build the next generation of anime and video game tools. Join us at Spellbrush and help us create the next generation of anime and video game tools.
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We're looking for a self-motivated, highly driven Senior Software Engineer to join our Machine Learning Operations (MLOps) team. As a team, we enable Attentive's Machine Learning (ML) practice to directly impact Attentive's AI product suite through the tools to train, inference, and deploy ML models with higher velocity and performance, while maintaining reliability.
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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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We’re looking for an innovative, strategic Customer Success Manager to manage a book of business of Mid-Market & Enterprise customers (organizations with 2,000+ employees) accounts in North America who have purchased Udemy Business for small-to-medium-sized teams and departments.
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