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Helper Caltrain Jobs (NOW HIRING)

Founding Talent Partner

Palo Alto, CA · On-site

$160K - $200K/yr

We've raised $20M from OpenAI, General Catalyst and Google Ventures to help millions of Business ... Downtown Palo Alto, in person, 4-5 days per week * 1 block from the Palo Alto Caltrain Express stop

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Helper Caltrain information

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$10

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How much do helper caltrain jobs pay per hour?

As of Jun 6, 2026, the average hourly pay for helper caltrain in the United States is $18.20, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $18.27 per hour, depending on experience, location, and employer.

What is the difference between Helper Caltrain vs Conductor Caltrain?

AspectHelper CaltrainConductor Caltrain
CredentialsHigh school diploma or equivalent, safety trainingHigh school diploma or equivalent, safety training, certification
Work EnvironmentAssisting train operators, performing safety checksManaging passenger safety, ticketing, and onboard service
Employer & IndustryCaltrain, transportation industryCaltrain, transportation industry

Helper Caltrain and Conductor Caltrain roles both operate within the same industry and often require similar credentials. However, conductors typically have additional responsibilities like passenger management and ticketing, making their role more customer-facing. Helper Caltrain positions often serve as entry-level roles supporting train operations. Understanding these differences can help job seekers find the right fit within the transit industry.

What cities are hiring for Helper Caltrain jobs? Cities with the most Helper Caltrain job openings:
What are the most commonly searched types of Caltrain jobs? The most popular types of Caltrain jobs are:
Software Engineer II, Search Science Data Infra

Software Engineer II, Search Science Data Infra

Amazon

Palo Alto, CA

$114K - $156K/yr

Full-time

Posted 11 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,817 frontline employees who took The Breakroom Quiz

7th 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
As an ML Engineer you will:
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 build 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 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.


What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Amazon logo

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 and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US