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The Amazon Private Brands’ Discovery team develops innovative machine learning solutions to enhance customer awareness of Amazon's private brands and help customers discover products they love. Principal Applied Scientist, Amazon Private Brands. Our solutions are not only critical to the success ...

The People eXperience and Technology (PXT) Central Science Team uses economics, behavioral science, statistics, and machine learning to proactively identify mechanisms, process improvements and products, which simultaneously improve Amazon and the lives, wellbeing, and the value of work of Amazon...

Amazon revolutionized customer service, now we are changing what customers expect from technical support. Were seeking an Applied Scientist to develop cutting-edge AI solutions leveraging Large Language Models (LLM), Machine Learning (ML) and Natural Language Processing (NLP) techniques to unders...

The Apple Knowledge Quality Team is building the next-generation of machine learning solutions for Knowledge Q&A at Apple and help power features including Siri and Spotlight. Experience with continuous integration and continuous development solutions.

Machine Learning and deep understanding of mathematics; specifically, experience using Python, Matlab, and virtual machines. VP Machine Learning for Medical Device. Familiarity and experience using machine learning techniques and tools to predict discrete diagnostic outputs from a set of inputs p...

The role further offers a learning platform to dig into the latest research about on-device machine learning, an exciting ML front-tier ! Possible example areas include model visualization, efficient inference, model compression, ML compilers, and/or federated learning. AIML - Software Developmen...

Assist in the development and training of machine learning models using supervised, unsupervised, and semi-supervised learning techniques. We are seeking a passionate and motivated Machine Learning Engineer Intern to join our team. Participate in the deployment of machine learning models into pro...

Experience with production machine learning pipelines: dataset creation, training frameworks, metrics pipelines. Experience with LLMs, reinforcement learning, imitation learning. Conference or journal publications in machine learning or robotics.

As a Machine Learning Scientist - Natural Language Processing (NLP) - Senior Associate in the Chief Data & Analytics Office (CDAO) at JPMorgan Chase, you will have the unique opportunity to apply sophisticated machine learning methods to complex tasks. Published research in areas of Machine Lear

As a Machine Learning Engineer, you’ll be responsible for designing, developing, and implementing machine learning models to power our in-game store recommendations and serve users content that they’d find valuable. Design, develop, implement, and ship high-impact machine learning models that de

You will work with a variety of machine learning algorithms, from traditional models to cutting-edge LLM technologies, to address relevant problems. You need a strong background in machine learning, hands-on development skills to tackle some of the challenges in a fast-paced dynamic environment, ...

Machine Learning ASIC Engineer, Architecture Responsibilities:. Work on developing Data Center Machine Learning ASIC architecture, algorithms, models, or tools. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employm...

Senior Data Scientist - System Intelligence and Machine Learning, ISE.If you want to know about the requirements for this role, read on for all the relevant information.Seattle, Washington, United States.Do you believe generative models can improve how we interact with our devices on a daily basi...

Application Deadline Extended:.Candidates should take the time to read all the elements of this job advert carefully Please make your application promptly.Cisco ThousandEyes is a Digital Experience Assurance platform that empowers organizations to deliver flawless digital experiences across every...

Collaborate closely with product managers and other engineers to understand business priorities, frame machine learning problems, and architect machine learning solutions. Build and productionize machine learning models including data preparation/processing pipelines, machine learning orchestrati...

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in ...

AIML - Machine Learning Engineer, Machine Learning Platform & Infrastructure. Do you want to make Siri and Apple products smarter for our users? The Information Intelligence teams are building groundbreaking technology for algorithmic search, machine learning, natural language processing, and ar

Experience in machine learning and deep learning, with a focus on natural language processing and information retrieval. Excellent practical skills with and state of the art knowledge of major machine learning algorithms. Experience with large scale search and machine learning systems.

The Knowledge Quality team is looking for extraordinary Machine Learning engineers to join a team of world-experts on Large-Scale Data Management and Machine Learning Systems. AIML - Machine Learning Engineer (Knowledge Extraction), Siri and Information Intelligence. The Apple Knowledge Quality T...

Our team includes a diversity of backgrounds from applied machine learning engineers with a focus on ML and LLM to experienced distributed systems engineers. As such, we are looking for candidates with applied machine learning experience and strong software engineering skills. You will be using a...

Machine learning is at the center of fraud prevention at Remitly. You will work with engineers on the scoring and machine learning platform teams to ensure your models meet latency and uptime requirements. You will report to the Manager of Machine Learning Engineering.

AWS Neuron is the complete software stack for the AWS Inferentia and Trainium cloud-scale machine learning accelerators and the Trn1 and Inf1 servers that use them. This role is for a software engineer in the Machine Learning Applications (ML Apps) team for AWS Neuron.

Our Infrastructure powers a wide gamut of services at Apple including Apple Search, Apple Music, AppleTV, AppStore, iMessages, Photos & Camera, Spotlight, Safari, Siri and upcoming ever exciting Apple products serving millions of queries every day with incredible low latencies, drawing every oun

Hands-on expertise in Machine Learning models using R/Python, SQL, well-versed in statistical methodology including deep expertise and experience with statistical data analysis. Understanding of topic modeling, supervised & unsupervised machine learning.