Machine Learning Engineer
14 hours ago
Job ID: 2839145 | Amazon.com Services LLC - A57 Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply cutting edge Generative AI, ML and DL algorithms to solve real world problems with significant impact? Amazon is revolutionizing customer service yet again now with cutting edge AI and ML. Device, Digital and Alexa Support (D2AS) is responsible for the Customer Service operations and solutions for all Amazon Devices and Digital products, from Kindle and Echo, to Amazon Music and Prime Video. We’re seeking a Machine Learning Engineer to develop cutting-edge AI solutions leveraging Large Language Models (LLM), Machine Learning (ML) and Natural Language Processing (NLP) techniques to understand and resolve customer issues and provide earth's best customer service. We are looking for individuals with a passion for learning, researching, and deploying production-ready science solutions in a highly collaborative environment. We like to ideate, experiment, iterate, optimize and scale quickly, while thoughtfully balancing speed and quality. Key job responsibilities In this role, you will: Use ML and Generative AI tools, such as Amazon SageMaker and Amazon Bedrock, to provide scalable production solutions to improve the customer experience, to label data, build, train, tune and deploy their models. Collaborate with our Applied and data scientists to create and fine tune scalable ML and Generative AI solutions for business problems. Interact with product stakeholders directly to understand the business problem, help and aid them in implementation of their ML ecosystem. Analyze and extract relevant information from large amounts of historical data to help automate and optimize key processes. Work closely with science and engineering teams to drive model implementations and new algorithms. A day in the life We thrive on solving challenging problems to innovate for our customers. By pushing the boundaries of technology, we create unparalleled experiences that enable us to rapidly adapt in a dynamic environment. Our decisions are guided by data, and we collaborate with engineering, science, and product teams to foster an innovative learning environment. If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply Benefits summary: Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: Medical, Dental, and Vision Coverage Maternity and Parental Leave Options Paid Time Off (PTO) 401(k) Plan About the team We at D2AS strive to make digital experiences effortless for customers. Our goal is to anticipate, evaluate, prevent, and eliminate any effort required from customers. We achieve this by setting the strategy for digital support and accelerating the delivery of seamless support experiences across Amazon's digital products. Our team combines strategic thinking, technology expertise, and customer experience best practices. This ensures customers can easily get the most value from Amazon's digital offerings. We focus on providing the right support at the right time, tailored to each customer's needs. By eliminating friction and making support effortless, we enhance the overall customer experience. BASIC QUALIFICATIONS - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language - Bachelor's degree in computer science or equivalent - 2+ years of relevant experience in developing and deploying large scale machine learning or deep learning models and/or systems into production, including batch and real-time data processing PREFERRED QUALIFICATIONS - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Masters or PhD degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field - Practical experience in solving complex problems in an applied environment - Experiences related to AWS services such as SageMaker, EMR, S3, DynamoDB and EC2 - Experiences related to machine learning, deep learning, NLP, CV, GNN, or distributed training - Strong communication skills, with attention to detail and ability to convey rigorous mathematical concepts and considerations to non-experts - Comfortable working in a fast paced, highly collaborative, dynamic work environment Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. #J-18808-Ljbffr
-
Machine Learning Engineer, Applied Machine Learning
13 hours ago
Seattle, United States Apple Full timeMachine Learning Engineer, Applied Machine Learning Seattle, Washington, United States Corporate Functions Do you want to work on building groundbreaking ML technologies and make real world impact? At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's...
-
Seattle, United States Apple Full timeMachine Learning Engineer, Applied Machine LearningSeattle, Washington, United StatesCorporate FunctionsDo you want to work on building groundbreaking ML technologies and make real world impact? At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no...
-
Seattle, United States Apple Inc. Full timeMachine Learning Engineer, Applied Machine LearningDo you want to work on building groundbreaking ML technologies and make real world impact? At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. The Applied...
-
Machine Learning Engineer
3 weeks ago
Seattle, United States Aquent Full timeOur client's team seeks a Machine Learning Engineer to advance the development and improvement of our software foundation and tools vital for training state-of-the-art AI models. Your role will be centered on creating strong, scalable, and efficient training infrastructures and frameworks facilitating the full spectrum of the machine learning process, from...
-
Machine Learning Engineer
2 weeks ago
Seattle, United States Tubi Tv Full timeTubi is a global entertainment company and the most watched free TV and movie streaming service in the U.S. and Canada. Dedicated to providing all people access to all the world’s stories, Tubi offers the largest collection of on-demand content, including over 250,000 premium movies and TV episodes and over 300 exclusive originals. With a passionate...
-
Machine Learning Engineer
2 weeks ago
Seattle, United States Jupiter Power Full timeTiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including...
-
Machine Learning Engineer
3 weeks ago
Seattle, United States Tiger Analytics Full timeTiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including...
-
Machine Learning Engineer
4 weeks ago
Seattle, United States PitchBook Full timeAt PitchBook, we are always looking forward. We continue to innovate, evolve, and invest in ourselves to bring out the best in everyone. We're deeply collaborative and thrive on the excitement, energy, and fun that reverberates throughout the company. Our extensive learning programs and mentorship opportunities help us create a culture of curiosity that...
-
Machine Learning Engineer
3 weeks ago
Seattle, United States Aquent Full timeOur client’s team seeks a Machine Learning Engineer to advance the development and improvement of our software foundation and tools vital for training state-of-the-art AI models. Your role will be centered on creating strong, scalable, and efficient training infrastructures and frameworks facilitating the full spectrum of the machine learning process, from...
-
Machine Learning Engineers
4 weeks ago
Seattle, United States Expedia , Inc. Full timeExpedia, Inc. has openings for Machine Learning Engineers (all types/levels) in Seattle, WA. Some positions may allow for telecommuting. Job Duties: Build and maintain machine learning pipeline end-to-end in production environments including engineering, model training, model scoring, and model validation. Design and develop state-of-the-art AI platform...
-
Machine Learning Engineer
3 weeks ago
Seattle, United States Rec Room Full timeJob DescriptionJob DescriptionRec Room is the best place to build and play games together. Players can chat, hang out, play in millions of rooms, or build something new to share with the world! We are looking for an exceptional Machine Learning Engineer to support our players & creators are we continue to grow. As a Machine Learning Engineer, you'll be...
-
Machine Learning Engineer
6 days ago
Seattle, United States Amazon Full timeJob ID: 2839145 | Amazon.com Services LLC - A57Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply cutting edge Generative AI, ML and DL algorithms to solve real world problems with significant impact?Amazon is revolutionizing customer service yet again now with cutting edge AI and ML. Device, Digital and Alexa...
-
Machine Learning Engineer
4 weeks ago
Seattle, United States Qualtrics Full timeQualtrics, LLC seeks Machine Learning Engineer in Seattle, WA. Duties: Work with Research Engineers to implement, tune, and productize machine learning models. Develop scalable, fast, robust, and simple web-based software solutions to solve complex business problems. Modify existing software to correct errors, allow it to adapt to new hardware, or to...
-
Machine Learning Engineer
14 hours ago
Seattle, United States Factspan Full timeFactspan is a pure play analytics company. We partner with you to build an analytics center of excellence, generating insights and solutions from your data to solve business challenges, make strategic recommendations and implement new processes that help you succeed. With offices in Seattle, USA and Bangalore, India; we use a global delivery model to service...
-
Machine Learning Engineer Intern
1 month ago
Seattle, Washington, United States Adobe Full timeThe OpportunityAt Adobe, we're looking for a talented Machine Learning intern to join our team and contribute to the development of innovative AI and machine learning solutions. As a Machine Learning intern, you will work on applying AI and machine learning techniques to big-data problems to help Adobe better understand, lead, and optimize the experience of...
-
Machine Learning Engineer Graduate
4 weeks ago
Seattle, Washington, United States Tik Tok Full timeAbout the Role:TikTok is a leading destination for short-form mobile video, inspiring creativity and bringing joy to users worldwide. As a key member of our Ecommerce Alliance Team, you will play a vital role in serving merchants and creators, driving business growth, and providing a personalized shopping experience for our users.We are seeking talented...
-
Machine Learning Engineer
1 day ago
Seattle, United States Newton Colmore Consulting Full timeMachine Learning Engineer - Drug DiscoveryNewton Colmore is working with a discovery research company in Seattle at the forefront of innovation, assisting them with their search for a Machine Learning Engineer.The company is committed to developing solutions that address unmet medical needs and improve patient outcomes, utilizing advanced machine learning...
-
Machine Learning Engineer
3 weeks ago
Seattle, United States Axon Full timeYour Impact Are you eager to contribute to building AI products impacting the world for the greater good?As a ML Engineer for Embedded AI at Axon, you will contribute to developing AI solutions transforming the public safety space and supporting our company’s mission: accelerate justice, protect truth, and save lives. Working closely with other ML...
-
Senior Machine Learning Engineer
4 weeks ago
Seattle, Washington, United States Tik Tok Full timeAbout the RoleWe are seeking a highly skilled Senior Machine Learning Engineer to join our E-Commerce Risk Control (ECRC) team at TikTok. As a key member of our team, you will be responsible for developing and implementing state-of-the-art machine learning algorithms to prevent and detect risks in our e-commerce platforms.Key Responsibilities:Invent,...
-
Machine Learning Engineer – Drug Discovery
3 weeks ago
Seattle, United States Newton Colmore Consulting Ltd Full timeNewton Colmore is working with a discovery research company in Seattle at the forefront of innovation, assisting them with their search for a Machine Learning Engineer.The company are committed to developing solutions that address unmet medical needs and improve patient outcomes, utilising advanced machine learning algorithms.On behalf of our client, we are...
