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Amazon
Palo Alto, CA, United States
Amazon is seeking a dynamic Entry-Level Applied Scientist to join our Search Experience Science team, which is pioneering the future of AI-driven shopping experiences. This role is ideal for candidates passionate about large language models and their application in enhancing user engagement through advanced AI technologies. You will be part of a hi
Job Source: AmazonAmazon
Palo Alto, CA, United States
Job ID: 2617020 | Amazon.com Services LLC We’re working to improve shopping on Amazon using the conversational capabilities of large language models, and are searching for pioneers who are passionate about technology, innovation, and customer experience, and are ready to make a lasting impact on the industry. You’ll be working with talented scienti
Job Source: AmazonAmazon
Palo Alto, CA, United States
Description The Amazon Search Mission Understanding (SMU) team is at the forefront of revolutionizing the online shopping experience through the Amazon search page. Our ambition extends beyond facilitating a seamless shopping journey; we are committed to creating the next generation of intelligent shopping assistants. Leveraging cutting-edge Large
Job Source: AmazonAmazon
Sunnyvale, CA, United States
Job ID: 2614272 | Amazon.com Services LLC Amazon Devices is an inventive research and development company that designs and engineer high-profile devices like the Kindle family of products, Fire Tablets, Fire TV, Health Wellness, Amazon Echo & Astro products. This is an exciting opportunity to join Amazon in developing state-of-the-art techniques th
Job Source: AmazonAmazon
Palo Alto, CA, United States
Job ID: 2633399 | Amazon.com Services LLC Amazon is hiring a Principal Applied Scientist (PAS) for the Upper Funnel Search, focused on enhancing customer experiences where search intent is not well-defined. This role is part of the Search Experience Science team and serves as the tech lead responsible for the architectural design and technological
Job Source: AmazonAmazon
Sunnyvale, CA, United States
Job ID: 2616105 | Amazon.com Services LLC F2 & XCAT Tech Discovery Science is looking for a L5 Applied Scientist to lead our ML visioning, roadmap planning, as well as building Machine Learning solutions to solve economic problems at scale. Discovery uses Machine Learning, Deep Learning, Reinforcement Learning, Causal Inference, and Econometrics/Ec
Job Source: AmazonAmazon
Palo Alto
Description We are seeking a talented applied researcher to join the Whole Page Planning and Optimization (WPPO) Science team in Search. The latest data from Business Insider shows that almost 50% of online shoppers visit Amazon first. The Search WPPO Science team is responsible for developing reinforcement learning systems for the next generation
Job Source: AmazonAmazon
Palo Alto, CA, United States
Description Amazon is hiring a Principal Applied Scientist (PAS) for the Upper Funnel Search, focused on enhancing customer experiences where search intent is not well-defined. This role is part of the Search Experience Science team and serves as the tech lead responsible for the architectural design and technological innovations of the Search Upp
Job Source: AmazonPalo Alto, CA, United States
- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning
DESCRIPTION We’re working to improve shopping on Amazon using the conversational capabilities of large language models, and are searching for pioneers who are passionate about technology, innovation, and customer experience, and are ready to make a lasting impact on the industry. You'll be working with talented scientists, engineers, and technical program managers (TPM) to innovate on behalf of our customers. If you're fired up about being part of a dynamic, driven team, then this is your moment to join us on this exciting journey!
We are open to hiring candidates to work out of one of the following locations:
Palo Alto, CA, USA
PREFERRED QUALIFICATIONS - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.
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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
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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.
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Sr Applied Scientist , Amazon jobs in Palo Alto, CA, United States
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