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Locum Amazon Personal Shopper Jobs (NOW HIRING)

Loloi Rugs

Sr. Director, eCommerce - Amazon

Dallas, TX · On-site

Rest assured that we never request payment or demand any sensitive personal information, such as ... and shopping experience for all customers. Mine product reviews for insights and maintain high ...

Trivium

Personal Assistant to CEO

Miami Beach, FL · On-site

$70 - $90/hr

Own grocery lists and weekly runs (Whole Foods, Amazon, vendor pickups); unpack, organize, and ... Run time-sensitive errands (pharmacy, shopping, post office) so nothing slips around travel days.

Trivium

Personal Assistant to CEO

Edgewater, FL · On-site

$70K - $90K/yr

Own grocery lists and weekly runs (Whole Foods, Amazon, vendor pickups); unpack, organize, and ... Run time-sensitive errands (pharmacy, shopping, post office) so nothing slips around travel days.

Trivium

Personal Assistant to CEO

Miami, FL

$70K - $90K/yr

Own grocery lists and weekly runs (Whole Foods, Amazon, vendor pickups); unpack, organize, and ... Run time-sensitive errands (pharmacy, shopping, post office) so nothing slips around travel days.

Trivium

Personal Assistant to CEO

Miami Gardens, FL

$70K - $90K/yr

Own grocery lists and weekly runs (Whole Foods, Amazon, vendor pickups); unpack, organize, and ... Run time-sensitive errands (pharmacy, shopping, post office) so nothing slips around travel days.

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How much do locum amazon personal shopper jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for locum amazon personal shopper in the United States is $16.20, according to ZipRecruiter salary data. Most workers in this role earn between $13.46 and $19.47 per hour, depending on experience, location, and employer.

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Manager III, Software Dev, Search Science Data Infra

Amazon

Palo Alto, CA

$203K - $241K/yr

Full-time

Re-posted 11 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,154 frontline employees who took The Breakroom Quiz

5th of 39 rated national retailers

Job description

Amazon Search creates customer-focused product search solutions and technologies. Whenever a customer visits an Amazon site worldwide and types in a query or browses through product categories, our systems go to work. We delight customers when we accurately understand their intent expressed via a natural language query and/or image, and reflect that understanding throughout the search page - from layout to the search results and navigation.

We make shopping effortless by helping customers easily explore our vast selection, narrowing down a myriad of options to a manageable consideration set through a personalized experience while providing key information to make high confidence decisions with low post-purchase regret
Search Science Data Infrastructure (SSDI) team is responsible for delivering high quality and fresh ML model training data, and providing seamless access to all ML artifacts through federated Feature Store infrastructure. This platform provides the ML training data and real-time signals / embeddings for inferencing to Amazon search ranking, matching quality, search economics and also powers live-site features, including search suggestions, query understanding, spelling, search result ranking, and personalization. Furthermore, 450+ teams across Amazon consume our datasets to power analytics and behavioral models.

We are located in downtown Palo Alto, a short walk from numerous shops and restaurants, and right across from the Caltrain station.
Key job responsibilities
Lead development of services and infrastructure at the intersection of machine learning, big data, and distributed systems. Our products and services empower hundreds of science teams across Amazon to deliver machine learning at scale for ML model training, Feature engineering and Data quality monitoring. You will be at the center stage for managing machine learning lifecycle and operations using AWS AI services, DL compute resources, and our core search backend services for query understanding, semantic matching, and relevance ranking

You will drive to provide a world class platform for Amazon Search engineers to comprehensively observe and introspect their applications and services both pre and post deployment to our large scale inference services. You will drive a scalable data-intensive infrastructure that processes huge amounts of logs, catalogs, transactional data, and telemetry signals. By doing so, we enable teams to become more data-driven and build robust and explainable ML services.

You will work with partners on training data experimentation to advance Amazon product search, making it available across all geographic regions with variety of product search and discovery use cases across many categories.
In this role, you will:
* Establish a culture fueled with customer-obsessed innovation and engineering excellence
* Build training data systems to provide high-quality customer engagement signals as a feedback loop to the search ranking and matching models powering the Amazon Search experience
* Engage closely with the team and provide technical leadership, strategic direction, and oversight to ensure timely delivery with high quality
* Mentor the professional development of each direct report through personal and performance management
* Attract, excite, grow, and retain top engineering talent
* Build strong relationships with your customers, peers, and stakeholders

What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate, computer and electronic product manufacturing and software development

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US

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