ZipRecruiter

Log In

1

Machine Learning Engineer Amazon Jobs in Vancouver, BC

BDO Canada

Senior Machine Learning Engineer

Vancouver, BC · On-site

CA$84K - CA$128K/yr

Advanced programming skills in Python, with practical experience using popular machine learning libraries such as scikit-learn, TensorFlow, and/or PyTorch. Capable of building, tuning, and deploying ...

Ubc

Machine Learning Engineer/Scientist

Vancouver, BC

CA$6.2K - CA$8.9K/mo

Staff - Non Union Job Category M&P - AAPS Job Profile AAPS Salaried - Scientific Eng., Level A Job Title Machine Learning Engineer/Scientist Department Human Resources Support | Department of ...

Workday

Senior Machine Learning Engineer

Vancouver, BC · On-site

Experience: 7+ years of industry experience in software engineering with a strong focus on applied machine learning, deep learning, or NLP. * Programming Mastery: Expert-level proficiency in Python ...

next page

Showing results 1-20

All JobsMachine Learning Engineer Amazon JobsMachine Learning Engineer Amazon Jobs in Vancouver, BC

Machine Learning Engineer Amazon information

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer at Amazon, and why are they important?

To thrive as a Machine Learning Engineer at Amazon, you need a strong background in computer science, mathematics, and statistics, often with an advanced degree and experience in machine learning algorithms. Proficiency with Python, TensorFlow or PyTorch, AWS cloud services, and familiarity with data modeling and big data tools is typically required. Strong problem-solving abilities, effective communication, and collaboration skills help drive innovative solutions in cross-functional teams. These capabilities are crucial for developing scalable, impactful ML systems that align with Amazon’s business goals and customer needs.

What does a Machine Learning Engineer do at Amazon?

A Machine Learning Engineer at Amazon designs, builds, and deploys machine learning models to solve complex business problems across various domains such as retail, Alexa, AWS, and logistics. They collaborate with data scientists, software engineers, and product teams to implement scalable solutions that leverage large datasets. Responsibilities often include developing algorithms, optimizing model performance, and integrating models into production systems to enhance customer experiences or improve operational efficiency.

How do Machine Learning Engineers at Amazon typically collaborate with product and engineering teams to deploy models into production?

Machine Learning Engineers at Amazon work closely with product managers, data scientists, and software engineers throughout the model development lifecycle. After designing and training models, they partner with engineering teams to integrate these models into scalable production systems, ensuring performance and reliability. Regular cross-functional meetings and code reviews are common, as is the use of Amazon's internal tools and cloud infrastructure for deployment. This collaborative environment enables rapid iteration and continuous improvement of customer-facing products powered by machine learning.
Sr. Machine Learning Engineer, Amazon Traffic Engineering

Sr. Machine Learning Engineer, Amazon Traffic Engineering

Amazon

Vancouver, BC • On-site

Full-time

Posted 14 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,874 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Job description

Our team builds and operates critical infrastructure services that power Amazon's retail platform, ensuring optimal performance and reliability for millions of customer interactions every day. Are you interested in working at the largest possible scale. Are you interested in making an impact across all of Amazon's retail traffic.

Are you interested in contributing to how the company delivers exceptional customer experiences. Then come be a part of that revolution!
On our team, you will have the opportunity to work on most advanced machine learning systems and distributed infrastructure that operates at unprecedented scale. Our services are core to Amazon's retail architecture, processing and analyzing massive volumes of traffic in real-time to maintain service quality and protect the customer experience.
You will use your technical prowess to deliver on challenging problems with simple, maintainable and extensible solutions

You will take risks and experiment, define and deliver solutions, build on success from the past and learn from failures. You will work alongside a team that collaborates and takes on shared goals to deliver solutions that are larger than each individual. You learn from others, and in turn make others around you better.

You will have the opportunity to impact the technical choices we make at Amazon and how Amazon developers develop. This is a place where you can apply and further your strong technical skills while delivering impactful business results. Amazon is a place where builders build, and we enable Amazon builders.

It's still Day One. Help us build the future.
Key job responsibilities
* Collaborate within a team and across other teams to launch best in class solutions.
* Improve operational excellence by driving performance and monitoring features


* Troubleshoot problems, and in turn recommend and implement industry-leading solutions.
* Learn and be curious, and in turn teach, mentor and grow other engineers.

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

View All Amazon Jobs

Apply