Remote Ai Model Training Jobs in California (NOW HIRING)

Do you want to help define the future of Go to Market (GTM) at AWS for generative AI (GenAI). You will be part of the core worldwide GenAI Foundation Models GTM team focused on GenAI infrastructure for model training. You will be responsible for defining, building, and deploying targeted strategies to accelerate adoption of our services and solutions with lighthouse Frontier AI model builders across segments and industry verticals.

You will be working directly with the most important customers in the GenAI model training and inference space helping them adopt and scale large-scale workloads (e.g., foundation models) on AWS, developing GTM plans, external/internal evangelism, and developing demos and proof-of-concepts.
Key job responsibilities
In this role, you will work closely with customers to understand the AI infrastructure requirements, complexities involved in scaling GenAI model training across modalities and use-cases that take advantage of the power of AWS' storage, compute, networking, and GenAI technologies.
You will have the opportunity to define GTM strategies and lead cross-functional initiatives to expand existing markets, develop scalable programs to drive adoption, and identify new opportunities. This involves activities such as market sizing, building an opportunity pipeline, working with customers to understand technical requirements for proof-of-concepts, creating content to train the field teams, driving industry thought-leadership, working with product teams to define new features, and identifying partners and potential acquisitions.
As the ideal candidate, you possess a business and technology background that enables you to lead and drive engagements with startups and large enterprises

You have domain expertise in key GenAI use cases, understand the challenges involved in training and deploying GenAI models, orchestrating workloads using containers/HPC services, and are able to work backwards from customer requirements to suggest scalable solutions and architectures. You have the technical depth to articulate the benefits of ML Frameworks and AWS services to data scientists, data engineers, and C-Level executives. In addition, you have a good understanding of the GenAI market trends, ecosystem, opportunities, and are passionate about market development.

You will need to be adept at interacting, communicating, and partnering with teams within AWS (product, solutions architecture, sales, marketing, and professional services) and externally with customers, partners, and importantly, the developer community of ML Frameworks and key open-source offerings.
You will be responsible for creating compelling content, and building scalable programs and mechanisms to increase awareness and adoption of ML Frameworks and AWS solutions. Additionally, you will work with Amazon SageMaker and Amazon EC2 product teams to shape product vision and prioritize features for GenAI infra.

A keen sense of ownership, drive, and being scrappy is a must.
About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply.

If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS?
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Inclusive Team Culture
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Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.
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That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
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When we feel supported in the workplace and at home, there's nothing we can't achieve.