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The Data Science team is hiring an experienced Machine Learning Engineer with a background building machine learning and statistical modeling frameworks from scratch.
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Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.
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Our next-generation platform, which combines threat intelligence with machine learning, enables financial institutions and governments to detect cryptocurrency fraud and financial crime on an unprecedented scale.
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You will deploy and deliver technical solutions at the intersection of computational chemistry and machine learning, supporting research directions in molecular design across broader gRED and Roche.
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The Williams-Sonoma, Inc. Technology organization seeks a talented Software Engineer - Machine Learning toassist with developing strategies, roadmaps, frameworks and solutions as a key member of our AI & Machine Learning team.
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Rhizome is seeking a Software Engineer who can scale our Data Engineering capacity and contribute to Machine Learning development at the enterprise scale. Our thesis as technologists is that, in order to fulfill our mission to protect society from the impacts of climate change through intentional, intelligent infrastructure planning, we need to embark on a journey of respectfully listening, learning, and then problem-solving.
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As a Machine Learning Engineer you will work on developing, deploying, monitoring, optimizing and debugging our Machine Learning models, infrastructure and systems that are core to our industrial robotic solutions.
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5+ years of work experience as data scientist/software engineer/computational linguist, with experience in machine learning and knowledge graph integrations with lexicons or ontologies.
$124,000 - $182,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - 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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You're a Senior Front End, Full Stack software engineer who's interested in being part of the customer-facing team that builds experiences for our users (Developers & Product Builders.
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8+ years of backend software development experience in building and maintaining applications in any mainstream language such as: Java, JavaScript, Python, Kotlin, Ruby, Go, Swift, C. We build our services over Cash App's ever-evolving infrastructure, and as a senior engineer on the team, you will embrace these changes and scale our tech stack to promote future evolvability.
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As a senior machine learning engineer, your expertise will be pivotal in developing Conversational AI solutions and other cutting-edge Machine learning techniques to define and shape the future of the Airbnb Community Support experience.
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Software Engineer - Backend. Plus Milk Stork, backup child and elder care, and discount on pet insurance, mental health support (via Talkspace) A groundbreaking leader in consumer privacy, data ethics, and foundational identity, LiveRamp is setting the new standard for building a connected customer view with unmatched clarity and context while protecting precious brand and consumer trust.
$110,000 - $166,750 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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In Disputes we build highly available and scalable, Machine Learning driven products that integrate with the broader Cash App ecosystem to help customers solve their problems. Your team will be responsible for one of three major work streams within the Disputes Team. You will work closely with the other work stream engineering teams, including Mobile Engineers, Product Managers, Designers and Machine Learning Engineers.
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5+ years shipping machine learning products (leveling to senior software engineer or Principal Software Engineer will be based on experience) As a Senior / Principal Machine Learning Engineer with the Creator Services Natural Language Processing Team, you will build NLP, speech and generative AI models and products and bring the latest machine learning technology to our creators and help them create experiences at scale.
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machine learning software engineer next insurance customer jobs in South San Francisco, CA
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