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Who you areYou will have a BS, MS, or PhD degree in the physical sciences (e.g. Chemistry, Physics, Chemical Engineering) or quantitative field (e.g. Computer Science, Statistics, Applied Mathematics) or equivalent industry research experience.
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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 1 month ago - UpvoteDownvoteShare Job
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As a Lead Engineer on the AI Ops team, you will be responsible for building the next-generation routing engine for the Internet using Data Science, Machine Learning (ML), and Artificial Intelligence (AI.
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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) Use this data streaming system to build identity resolution applications and data pipelines that exposes the data we collect in a reporting system, leveraging BigQuery, Dataflow, Pub/Sub and other related Cloud Technologies.
$110,000 - $166,750 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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As a Data Scientist you should be comfortable discussing statistical and machine learning methodology and have significant experience with Machine Learning systems, working with the details of algorithms, not just the tools' application.
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The incumbent will apply advanced data analysis skills and machine learning in collaboration with a group of computational and biological scientists to perform translational oncology research around multimodal translational data sets for programs in clinical development.
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The Structural and Computational Biology (SCB) group within Prescient Design seeks exceptional researchers who have a demonstrated research background in protein structural biology and design, machine learning, and project management, a passion for research and technical problem-solving, and a proven ability to implement ideas and apply methods.
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Collaborate with domain experts in a variety of fields, from AI and machine learning to massive distributed systems and sophisticated scheduling algorithms. You have a BS or MS in computer science or a related field.
$80,000 - $220,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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.
$183,600 - $270,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Bachelor's or foreign equivalent Degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience.
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Drive advances in the analytics tools and frameworks (e.g. across structured detection algorithms, machine learning, artificial intelligence, behavioral analysis) both for our growing research team and in the Corelight Sensor, to create and execute those models.
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Artificial Intelligence, Augmented Intelligence, Machine Learning, Human Language Technologies, Speech Recognition, AI, Natural Language Processing, NLP, ML, Knowledge Management, Enterprise AI, KM, HLT, ASR, Machine Translation, Computer Vision, OCR, NER, and AI Assistant.
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As a staff engineer, you will partner closely with our data science, product partners, and other ML + data engineers on the team to execute on these opportunities in order to improve the Host and Guest product experience on Airbnb.
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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. We appreciate broad perspectives, a willingness to dive deep, and a readiness to work collaboratively across many disciplines (including product, design, operations, legal, data science, ML.
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machine learning software engineer a plus computer science jobs Title: research software engineer in San Francisco, CA
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