AWS Machine Learning accelerators are at the forefront of AWS innovation. The Inferentia chip ... independence across multiple technical communities Key job responsibilities Creating and ...
AWS Machine Learning accelerators are at the forefront of AWS innovation. The Inferentia chip ... independence across multiple technical communities Key job responsibilities Creating and ...
Sr Solutions Architect, Annapurna ML
Cupertino, CA · On-site
$80 - $104.75/hr
AWS Machine Learning accelerators are at the forefront of AWS innovation. The Inferentia chip delivers best-in-class ML inference performance at the lowest cost in cloud. Trainium will deliver the ...
Sr Solutions Architect, Annapurna ML
Cupertino, CA · On-site
$80 - $104.75/hr
AWS Machine Learning accelerators are at the forefront of AWS innovation. The Inferentia chip delivers best-in-class ML inference performance at the lowest cost in cloud. Trainium will deliver the ...
Sr. ASIC Design Engineer, Cloud-Scale Machine Learning Acceleration team - Annapurna Labs
Cupertino, CA · On-site
Custom SoCs (System on Chip) live at the heart of AWS Machine Learning servers As a member of the Cloud-Scale Machine Learning Acceleration team you'll be responsible for the design and optimization ...
Sr. ASIC Design Engineer, Cloud-Scale Machine Learning Acceleration team - Annapurna Labs
Cupertino, CA · On-site
Custom SoCs (System on Chip) live at the heart of AWS Machine Learning servers As a member of the Cloud-Scale Machine Learning Acceleration team you'll be responsible for the design and optimization ...
AWS Neuron is the software stack for Trainium and Inferentia, the AWS Machine Learning chips ... independently develop and optimize ML workloads on AWS Neuron through deep understanding of ...
AWS Neuron is the software stack for Trainium and Inferentia, the AWS Machine Learning chips ... independently develop and optimize ML workloads on AWS Neuron through deep understanding of ...
Custom SoCs (System on Chip) live at the heart of AWS Machine Learning servers. As a member of the Cloud-Scale Machine Learning Acceleration team you'll be responsible for the design and optimization ...
Custom SoCs (System on Chip) live at the heart of AWS Machine Learning servers. As a member of the Cloud-Scale Machine Learning Acceleration team you'll be responsible for the design and optimization ...
Custom SoCs (System on Chip) live at the heart of AWS Machine Learning servers As a member of the Cloud-Scale Machine Learning Acceleration team you'll be responsible for the design and optimization ...
Custom SoCs (System on Chip) live at the heart of AWS Machine Learning servers As a member of the Cloud-Scale Machine Learning Acceleration team you'll be responsible for the design and optimization ...
Machine Learning Engineer
San Diego, CA · On-site +1
$109K/yr
Own small to medium components of machine learning systems from technical designthrough ... Experience working with cloud environments, preferably AWS * Familiarity with technologies such as ...
Machine Learning Engineer
San Diego, CA · On-site +1
$109K/yr
Own small to medium components of machine learning systems from technical designthrough ... Experience working with cloud environments, preferably AWS * Familiarity with technologies such as ...
Machine Learning Engineer
San Diego, CA · On-site +1
Own small to medium components of machine learning systems from technical designthrough ... Experience working with cloud environments, preferably AWS * Familiarity with technologies such as ...
Machine Learning Engineer
San Diego, CA · On-site +1
Own small to medium components of machine learning systems from technical designthrough ... Experience working with cloud environments, preferably AWS * Familiarity with technologies such as ...
AWS Neuron is the software stack for Trainium and Inferentia, the AWS Machine Learning chips ... independently develop and optimize ML workloads on AWS Neuron through deep understanding of ...
AWS Neuron is the software stack for Trainium and Inferentia, the AWS Machine Learning chips ... independently develop and optimize ML workloads on AWS Neuron through deep understanding of ...
AWS Neuron is the software stack for Trainium and Inferentia, the AWS Machine Learning chips ... independently develop and optimize ML workloads on AWS Neuron through deep understanding of ...
AWS Neuron is the software stack for Trainium and Inferentia, the AWS Machine Learning chips ... independently develop and optimize ML workloads on AWS Neuron through deep understanding of ...
Role - Machine Learning Expert (This role is open to US Citizens, Green Card holders, GC-EAD only ... Strong background in cloud computing and big data platforms (AWS, Azure, GCP), with hands-on ...
Role - Machine Learning Expert (This role is open to US Citizens, Green Card holders, GC-EAD only ... Strong background in cloud computing and big data platforms (AWS, Azure, GCP), with hands-on ...
Machine Learning Expert
Palo Alto, CA · On-site
Role - Machine Learning Expert (This role is open to US Citizens, Green Card holders, GC-EAD only ... Strong background in cloud computing and big data platforms (AWS, Azure, GCP), with hands-on ...
Machine Learning Expert
Palo Alto, CA · On-site
Role - Machine Learning Expert (This role is open to US Citizens, Green Card holders, GC-EAD only ... Strong background in cloud computing and big data platforms (AWS, Azure, GCP), with hands-on ...
They are seeking a Machine Learning Engineer to design and develop scalable training pipelines for ... AWS, GCP, Azure). • Excellent communication and collaboration skills, capable of working ...
They are seeking a Machine Learning Engineer to design and develop scalable training pipelines for ... AWS, GCP, Azure). • Excellent communication and collaboration skills, capable of working ...
The Machine Learning Engineer will design and develop scalable training pipelines for multimodal AI ... AWS, GCP, Azure). • Excellent communication and collaboration skills, capable of working ...
The Machine Learning Engineer will design and develop scalable training pipelines for multimodal AI ... AWS, GCP, Azure). • Excellent communication and collaboration skills, capable of working ...
Machine Learning Engineer
San Francisco, CA · On-site
$118K - $129K/yr
Machine Learning Engineer Role Overview We are seeking an experienced and driven Machine Learning ... Working knowledge of cloud platforms (AWS, Azure, or GCP) and practical implementation of DevOps ...
Machine Learning Engineer
San Francisco, CA · On-site
$118K - $129K/yr
Machine Learning Engineer Role Overview We are seeking an experienced and driven Machine Learning ... Working knowledge of cloud platforms (AWS, Azure, or GCP) and practical implementation of DevOps ...
Contractor position; conversion to full-time may be possible based on project success and business ... • Familiarity with AWS, Azure, GCP, or cloud-based AI/ML environments • Semiconductor ...
Quick apply
Contractor position; conversion to full-time may be possible based on project success and business ... • Familiarity with AWS, Azure, GCP, or cloud-based AI/ML environments • Semiconductor ...
Custom SoCs (System on Chip) live at the heart of AWS Machine Learning servers As a member of the Cloud-Scale Machine Learning Acceleration team you'll be responsible for the design and optimization ...
Custom SoCs (System on Chip) live at the heart of AWS Machine Learning servers As a member of the Cloud-Scale Machine Learning Acceleration team you'll be responsible for the design and optimization ...
Custom SoCs (System on Chip) live at the heart of AWS Machine Learning servers As a member of the Cloud-Scale Machine Learning Acceleration team you'll be responsible for the design and optimization ...
Custom SoCs (System on Chip) live at the heart of AWS Machine Learning servers As a member of the Cloud-Scale Machine Learning Acceleration team you'll be responsible for the design and optimization ...
The AWS Neuron Science Team is looking for talented scientists to enhance our software stack ... Machine Learning Compiler: Creating advanced compiler techniques for ML workloads - System ...
The AWS Neuron Science Team is looking for talented scientists to enhance our software stack ... Machine Learning Compiler: Creating advanced compiler techniques for ML workloads - System ...
About the team AWS Neuron is the software of Trainium and Inferentia, the AWS Machine Learning ... chips. Inferentia delivers best-in-class ML inference performance at the lowest cost in the cloud ...
About the team AWS Neuron is the software of Trainium and Inferentia, the AWS Machine Learning ... chips. Inferentia delivers best-in-class ML inference performance at the lowest cost in the cloud ...
Independent Contractor Aws Machine Learning information
What are the key skills and qualifications needed to thrive as an Independent Contractor AWS Machine Learning Specialist, and why are they important?
What does an Independent Contractor specializing in AWS Machine Learning do?
What is the difference between Independent Contractor Aws Machine Learning vs Data Scientist?
| Aspect | Independent Contractor Aws Machine Learning | Data Scientist |
|---|---|---|
| Credentials | Certifications in AWS, Machine Learning, and cloud computing | Degree in Data Science, Statistics, or related field; often certifications like SAS or Python |
| Work Environment | Freelance, project-based, remote or on-site in cloud environments | Full-time, corporate or research settings, often in office or remote |
| Employer & Industry | Clients across various industries using AWS cloud services | Organizations in tech, finance, healthcare, and research sectors |
While both roles involve data analysis and machine learning, an Independent Contractor Aws Machine Learning specializes in deploying models on AWS cloud platforms as a freelancer, whereas a Data Scientist typically works within organizations analyzing data and building models in a more permanent role.
What are some common challenges faced by independent contractors working on AWS Machine Learning projects, and how can they be managed?
- Remote Flexo Printing Machine Operator
- Commission Bobst Die Cutter Operator
- Industrial Sewing Machine Operator
- Overnight Laser Cutting Machine Operator
- Senior Specialist Metal Bending Machine Operator
- From Home Curb Machine Operator
- Weekday Extrusion Machine Operator
- Weekend Concrete Block Machine Operator
- Door Machine Operator
- Volunteer Junior Machine Learning Engineer
- Internship Machine Learning Visa Sponsorship
- Wave Soldering Machine Operator
- Fly In Fly Out Operator
- Traveling Machine Operator
- Day Shift Remote Python Machine Learning
- Senior Machine Learning Visa Sponsorship
- Entry Level Machine Learning Robotics
- Flex Schedule Foam Machine Operator
- Bender Operator
- From Home Screw Machine

Full-time
Medical, Dental, Vision, Life, Retirement, PTO
Re-posted 10 days ago
Amazon rating
7.4
Based on 7,025 frontline employees who took The Breakroom Quiz
6th of 39 rated national retailers
Job description
source AI with the broader developer community?
Amazon Web Services (AWS) is looking for a Principal Developer Advocate to join the
Annapurna Labs team. AWS Machine Learning accelerators are at the forefront of AWS
innovation. The Inferentia chip delivers best-in-class ML inference performance at the lowest
cost in cloud. Trainium will deliver the best-in-class ML training performance with the most
teraflops (TFLOPS) of compute power for ML in the cloud. This is all enabled by our software
stack, the AWS Neuron Software Development Kit (SDK), which includes an ML compiler,
runtime and natively integrates into popular ML frameworks including PyTorch. In this role, you
will be the external face of AWS in ML hardware acceleration, combining deep technical
expertise, strategic vision, and authentic community engagement to drive awareness, trust, and
adoption of Trainium and the Neuron SDK across the global ML developer ecosystem.
Ideally, you come from a software engineering, ML research, or systems performance
background - but you love being on stage, on screen, or in the open-source community guiding
developers toward technologies you believe in. You have immediate credibility with ML
practitioners, researchers, and performance engineers. You are excited about open-source AI,
hardware-software co-design, and the future of ML infrastructure. You exhibit strong judgment
in selecting strategic opportunities and can operate with full independence across multiple
technical communities
Key job responsibilities
Creating and maintaining relevant content (demos, videos, blogs, podcasts, livestreams, etc),
covering AWS Trainium and the Neuron SDK along with emerging technologies and industry
developments.
Gaining industry recognition and credibility as a regular attendee and speaker at third party
technology conferences, shows and press events.
Curating, developing and delivering compelling presentations to help drive awareness and
adoption of AWS Trainium.
Maintaining a credible presence in social media
Ability to travel (including internationally when needed) and ability to work autonomously
A day in the life
As a technical champion, you'll create and deliver content that makes Trainium and the Neuron
SDK accessible, credible, and compelling to ML developers worldwide - from getting-started
tutorials to deep-dive kernel optimization guides. As a community builder, you'll engage with
ML practitioners, researchers, and performance engineers to understand their challenges,
represent their voice internally, and translate community insights into product roadmap impact.
As an ecosystem strategist, you'll build long-term partnerships with key open-source projects and
communities, co-develop integrations, and ensure Trainium is a visible and credible option
wherever ML developers make hardware decisions.
About the team
The Amazon Annapurna Labs team is a responsible for building innovation in silicon and
software for AWS customers. We are at the forefront of innovation by combining cloud scale
with the world's most talented engineers. Our team covers multiple disciplines including silicon
engineering, hardware design and verification, software and operations. Because of our teams
breadth of talent, we have been able to improve AWS cloud infrastructure in networking and
security with products such as AWS Nitro, Enhanced Network Adapter (ENA), and Elastic
Fabric Adapter (EFA), in compute with AWS Graviton and the EC2 F1 FPGA instances, in
storage with scalable NVMe, and now in AI and Machine Learning with AWS Neuron SDK,
Inferentia and Trainium ML accelerators.
BASIC QUALIFICATIONS
- Experience conveying complex technical concepts to both technical and business audiences
- Experience developing technology solutions and evangelising end-to-end technology roadmaps that guide IT transformations toward cloud computing
- Experience communicating complex ideas to technical and non-technical audiences
- 10+ years of Experience in software engineering, ML research, systems performance, or a related technical field
- Experience with machine learning frameworks, tools, or infrastructure
- Ability to work autonomously and manage multiple initiatives across different technical communities
- Experience creating and delivering presentations, workshops, or demonstrations to technical and non-technical audiences
- Proficiency with at least one major programming language or technology platform
PREFERRED QUALIFICATIONS
- Experience speaking at industry conferences, user groups, or other public forums
- Background in software development, cloud architecture, or enterprise technology solutions
- Familiarity with content creation tools and platforms, including video production and social media
- Experience working with open-source communities or contributing to open-source projects
- Knowledge of emerging technology trends and their potential business applications
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, CA, Cupertino - 188,900.00 - 330,500.00 USD annually
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