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Independent Contractor Aws Machine Learning Jobs in California

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 ...

Own small to medium components of machine learning systems from technical designthrough ... Experience working with cloud environments, preferably AWS * Familiarity with technologies such as ...

Own small to medium components of machine learning systems from technical designthrough ... Experience working with cloud environments, preferably AWS * Familiarity with technologies such as ...

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 ...

Showing results 41-60

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?

To thrive as an Independent Contractor AWS Machine Learning Specialist, you need expertise in machine learning algorithms, data analysis, and proficiency with Python, as well as a strong understanding of AWS services like SageMaker and Lambda. Familiarity with cloud-based ML tools, experience with data pipelines, and AWS certifications such as AWS Certified Machine Learning – Specialty are highly valued. Exceptional problem-solving, communication, and project management skills help you collaborate with clients and deliver solutions efficiently. These skills ensure you can design, implement, and optimize machine learning models in scalable cloud environments, meeting diverse client needs.

What does an Independent Contractor specializing in AWS Machine Learning do?

An Independent Contractor specializing in AWS Machine Learning works on a freelance or contract basis to design, develop, and deploy machine learning solutions using Amazon Web Services. They may help clients with data preparation, model training, and integration of machine learning models into existing systems using AWS tools like SageMaker, Lambda, and S3. Their responsibilities often include consulting on best practices, optimizing workflows, and ensuring scalable, secure machine learning infrastructures in the cloud.

What is the difference between Independent Contractor Aws Machine Learning vs Data Scientist?

AspectIndependent Contractor Aws Machine LearningData Scientist
CredentialsCertifications in AWS, Machine Learning, and cloud computingDegree in Data Science, Statistics, or related field; often certifications like SAS or Python
Work EnvironmentFreelance, project-based, remote or on-site in cloud environmentsFull-time, corporate or research settings, often in office or remote
Employer & IndustryClients across various industries using AWS cloud servicesOrganizations 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?

Independent contractors in AWS Machine Learning often face challenges such as staying updated with rapidly evolving AWS services, managing project scope with limited resources, and ensuring data security and compliance. To address these, it's important to regularly participate in AWS training, maintain clear communication with clients about project expectations, and follow best practices for security and data handling. Proactively setting up efficient workflows and leveraging AWS documentation and community forums can also help manage technical and logistical hurdles.
What are the most commonly searched types of Aws Machine Learning jobs in California? The most popular types of Aws Machine Learning jobs in California are:
What job categories do people searching Independent Contractor Aws Machine Learning jobs in California look for? The top searched job categories for Independent Contractor Aws Machine Learning jobs in California are:
What cities in California are hiring for Independent Contractor Aws Machine Learning jobs? Cities in California with the most Independent Contractor Aws Machine Learning job openings:
Infographic showing various Independent Contractor Aws Machine Learning job openings in California as of July 2026, with employment types broken down into 1% Locum Tenens, 90% Full Time, 4% Part Time, and 5% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Principal Developer Advocate - AWS Trainium, Trainium

Amazon

Cupertino, CA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 10 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,025 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

Do you love getting hands-on with ML hardware acceleration and sharing your passion for open-
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

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Hours and flexibility

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About Amazon

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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