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Director Software Development, AI Models and Research

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• JOB_DESCRIPTION.SHARE.HTML
• San Jose, California
• Engineering
• 72645
• USD $232,000.00/Yr.
• USD $348,000.00/Yr.

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Job Description

WHAT YOU DO AT AMD CHANGES EVERYTHING:

At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career.

THE ROLE:

We are seeking a Director of AI (Generative AI) to lead our Modeling team, with a focus on Large Language Models (LLMs).

THE PERSON:

The ideal candidate will have a proven track record of building and leading a world-class research and engineering team focused on LLMs and foundation models, with a strong publication record in top-tier research venues.

Experience with the latest state-of-the-art foundation models—especially in the areas of LLMs and vision—is essential. Deep knowledge in model alignment, fine-tuning, and current research trends is also required.

We are looking for a leader with hands-on expertise in training large language models at scale.

KEY RESPONSIBILITIES:

• Set the vision and strategy for developing large foundation models across various domains, such as natural language, computer vision, and multimodal data.

• Lead a team of researchers and engineers working on cutting-edge techniques for training, fine-tuning, evaluating, and deploying large foundation models at scale.

• Collaborate with cross-functional teams and stakeholders to identify opportunities and enhance the platforms and infrastructure supporting large-scale model development.

• Communicate the results, capabilities, and impact of foundation models and AI to both internal and external audiences.

• Establish best practices and standards to ensure the quality, reliability, fairness, and ethical use of AI and large foundation models.

PREFERRED EXPERIENCE:

• Proven experience leading a research team in machine learning or a related field.
• Deep technical expertise in natural language processing and generative AI.
• A strong publication record in top-tier conferences and journals related to machine learning.
• Exceptional leadership skills and the ability to work collaboratively with cross-functional teams and customers.
• Excellent communication skills—written, verbal, and presentation.
• A demonstrated ability to mentor, coach, and inspire a diverse and talented team of researchers and engineers.

ACADEMIC CREDENTIALS:

• A PhD (or a master’s degree with equivalent experience) in artificial intelligence, machine learning, computer science, or a related field.

LOCATION:

San Jose, CA or Bellevue, WA

Benefits offered are described: AMD benefits at a glance.

AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.

AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.

This posting is for an existing vacancy.
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