Amazon

About Amazon

The everything store and cloud computing leader

🏢 Tech👥 1001+ employees📅 Founded 1995📍 South Lake Union, Seattle, WA3.7
B2CB2BMarketplaceCloud ComputingeCommerce

Key Highlights

  • Headquartered in South Lake Union, Seattle, WA
  • Over 1.5 million employees worldwide
  • Leading cloud services through Amazon Web Services (AWS)
  • Acquired Whole Foods, Twitch, and Ring

Amazon, headquartered in South Lake Union, Seattle, WA, is the world's largest online retailer and a leader in cloud computing through Amazon Web Services (AWS). With over 1.5 million employees globally, Amazon operates in various sectors, including AI with its Alexa devices and a vast marketplace k...

🎁 Benefits

Amazon offers competitive salaries, stock options, generous PTO policies, and comprehensive health benefits. Employees also have access to a learning ...

🌟 Culture

Amazon's culture is driven by customer obsession and a focus on innovation. The company encourages employees to think big and move fast, fostering an ...

Amazon

Machine Learning Engineer Senior

AmazonCupertino - On-Site

Posted 3 months ago🏛️ On-SiteSeniorMachine Learning Engineer📍 Cupertino💰 $193,300 - $261,500 / yearly
Apply Now →

Overview

Amazon is hiring a Senior Machine Learning Engineer to develop and optimize software solutions for AWS Neuron. You'll work with AWS services and machine learning frameworks to build scalable applications. This position requires expertise in Python and machine learning technologies.

Job Description

Who you are

You have 5+ years of experience in software engineering with a strong focus on machine learning and AI applications — you've successfully developed and deployed machine learning models that impact real-world applications. Your expertise in AWS services, particularly AWS Neuron, allows you to leverage cloud capabilities to enhance model performance and scalability.

You possess deep knowledge of Python and popular machine learning frameworks such as TensorFlow and PyTorch — your coding skills enable you to write efficient, maintainable code that adheres to best practices. You are comfortable working with large datasets and have experience in performance tuning and optimization of machine learning models.

You thrive in collaborative environments and enjoy working closely with cross-functional teams — your strong communication skills help you articulate complex technical concepts to non-technical stakeholders. You are passionate about innovation and continuously seek to improve processes and technologies.

Desirable

Experience with large language models like GPT-2 and GPT-3 is a plus — you understand the intricacies of training and deploying these models at scale. Familiarity with distributed training techniques and tools will set you apart as a candidate.

What you'll do

In this role, you will be responsible for designing and implementing machine learning solutions that leverage AWS Neuron and other AWS services — your work will directly contribute to the development of scalable applications that serve millions of users. You will collaborate with product managers and other engineers to define requirements and translate them into technical specifications.

You will conduct experiments to evaluate model performance and iterate on designs based on data-driven insights — your analytical mindset will help you identify areas for improvement and implement solutions that enhance model accuracy and efficiency. You will also mentor junior engineers, sharing your knowledge and expertise to foster a culture of learning within the team.

You will participate in code reviews and contribute to architectural discussions, ensuring that the systems you build are robust and maintainable — your attention to detail will help prevent issues before they arise. Additionally, you will stay up-to-date with the latest advancements in machine learning and AI, applying new techniques and technologies to your work.

What we offer

Amazon provides a competitive salary range of $193,300.00 - $261,500.00 USD annually, along with comprehensive benefits including health insurance, retirement plans, and paid time off. You will have the opportunity to work in a dynamic environment that encourages innovation and professional growth. Join us at Amazon and be part of a team that is shaping the future of technology and impacting millions of lives worldwide.

Interested in this role?

Apply now or save it for later. Get alerts for similar jobs at Amazon.

Similar Jobs You Might Like

Based on your interests and this role

Amazon

Machine Learning Engineer

Amazon📍 Cupertino - On-Site

Amazon is hiring a Machine Learning Engineer to develop and optimize large-scale ML model training solutions. You'll work with AWS Trainium and collaborate with cross-functional teams to deliver impactful machine learning products. This position requires experience in machine learning frameworks and AWS technologies.

🏛️ On-SiteMid-Level
1 month ago
Amazon

Machine Learning Engineer

Amazon📍 Cupertino - On-Site

Amazon is hiring a Senior Machine Learning Engineer to develop and optimize distributed training solutions for AWS Neuron. You'll work with technologies like Python, PyTorch, and AWS to enhance performance for large-scale ML models. This position requires experience in training large models and distributed systems.

🏛️ On-SiteSenior
8 months ago
Amazon

Machine Learning Engineer

Amazon📍 Cupertino - On-Site

Amazon is hiring a Senior Machine Learning Engineer for the AWS Neuron Distributed Training team. You'll develop and optimize distributed training solutions for large-scale ML models using Python and various libraries. This role requires expertise in machine learning and cloud technologies.

🏛️ On-SiteSenior
12 months ago
Amazon

Machine Learning Engineer

Amazon📍 Cupertino - On-Site

Amazon is hiring a Senior Machine Learning Engineer to develop and optimize distributed training solutions for large-scale ML models. You'll work with AWS Trainium and frameworks like Hugging Face and TensorFlow. This position requires expertise in machine learning and distributed systems.

🏛️ On-SiteSenior
3w ago
Amazon

Machine Learning Engineer

Amazon📍 Cupertino - On-Site

Amazon is hiring a Machine Learning Engineer for the AWS Neuron team to develop and optimize distributed training solutions for large-scale machine learning models. You'll work with technologies like Python, AWS, and PyTorch. This position requires experience in training large models and performance tuning.

🏛️ On-SiteMid-Level
4 months ago