Urgent! Machine Learning Engineer, AWS Neuron Apps, AWS Neuron Job Opening In Seattle – Now Hiring Amazon
Description
AWS Neuron is the complete software stack for the AWS Inferentia and Trainium cloud-scale machine
learning accelerators and the Trn1 and Inf1 servers that use them.
This role is for a software engineer in the Machine Learning Applications (ML Apps) team for AWS Neuron.
This role is responsible for development, enablement and performance tuning of a wide variety of ML model families, including massive scale large language models like Llama2, GPT2, GPT3 and beyond, as well as stable diffusion, Vision Transformers and many more.
The ML Apps team works side by side with compiler engineers and runtime engineers to create, build and tune distributed inference solutions with Trn1.
Experience optimizing inference performance for both latency and throughput on these large models using Python, Pytorch or JAX is a must.
Deepspeed and other distributed inference libraries are central to this and extending all of this for the Neuron based system is key.
Key job responsibilities
This role will help lead the efforts building distributed inference support into Pytorch, Tensorflow using XLA and the Neuron compiler and runtime stacks.
This role will help tune these models to ensure highest performance and maximize the efficiency of them running on the customer AWS Trainium and Inferentia silicon and the TRn1 , Trn2 servers.
Strong software development using Python/C++ and ML knowledge are both critical to this role.
A day in the life
As you design and code solutions to help our team drive efficiencies in software architecture, you’ll create metrics, implement automation and other improvements, and resolve the root cause of software defects.
You’ll also:
Build high-impact solutions to deliver to our large customer base.
Participate in design discussions, code review, and communicate with internal and external stakeholders.
Work cross-functionally to help drive business decisions with your technical input.
Work in a startup-like development environment, where you’re always working on the most important stuff.
About the team
Our team is dedicated to supporting new members.
We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge-sharing and mentorship.
Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews.
We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future.
Basic Qualifications
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
Preferred Qualifications
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers.
If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information.
If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets.
The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/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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Unlock Your Machine Learning Potential: Insight & Career Growth Guide
Real-time Machine Learning Jobs Trends in Seattle, United States (Graphical Representation)
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Great news! Amazon is currently hiring and seeking a Machine Learning Engineer, AWS Neuron Apps, AWS Neuron to join their team. Feel free to download the job details.
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An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Amazon adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Machine Learning Engineer, AWS Neuron Apps, AWS Neuron Jobs United States varies, but the pay scale is rated "Standard" in Seattle. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
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