Address
Form of workWHAT YOU DO AT AMD CHANGES EVERYTHING
We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences - the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world's most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives.
AMD together we advance_
As a Co-op student, you can make an immediate contribution to AMD's next generation of technology innovations. We have a dynamic, high-energy work environment, filled with expert employees, and unique opportunities for developing your career. You will have the opportunity to connect with AMD leaders, receive one-on-one mentorship, attend amazing networking events and much more. With AMD, you can get hands-on experience that will give you a competitive edge in the workforce.
Get a jumpstart on an exciting career - apply today!
SUMMER 2024 RESEARCH INTERN
LOCATION:
Bellevue, WA or San Jose, CA
ONSITE: This role requires the student to work onsite from the Bellevue or San Jose office throughout the duration of the Co-op/Intern term.
PROGRAM TERM:
Summer: Start Date May 20, 2024
WHAT YOU'LL BE DOING:
You will work with world renowned scientists and engineers to advance the state of the art on large language models (LLMs), large multimodality models (LMMs), and other generative models. You will develop novel large scale distributed training algorithms and model architectures to improve the quality of models and accelerate the model training and inference speed of LLMs/LMMs. You are expected to work on the algorithm and model design, implementation, and evaluation. You will write paper submissions based on the internship work and release the code to the public.
KEY QUALIFICATIONS:
WHAT WOULD SET YOU APART:
WHO WE'RE LOOKING FOR:
We are looking for students who are passionate about generative AI and enjoying the design and implementation of novel research ideas to improve the quality of LLMs/LMMs and other generative models, accelerate the training and inference speed, and influence future hardware and software directions.The ideal candidate will have expertise and hands-on experience on training LLMs/LMMs, familiar with hyper-parameter tuning, data processing, and latest training techniques for LLMs/LMMs. A PhD or MS degree in ML, NLP, Vision, or related fields is preferred.
BENEFITS:
At AMD, your base pay is one part of your total rewards package. Your base pay will depend on where your skills, qualifications, experience, and location fit into the hiring range for the position. You may be eligible for incentives based upon your role such as either an annual bonus or sales incentive. Many AMD employees have the opportunity to own shares of AMD stock, as well as a discount when purchasing AMD stock if voluntarily participating in AMD's Employee Stock Purchase Plan. You'll also be eligible for competitive benefits described in more detail here.
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.
We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences - the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world's most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives.
AMD together we advance_
As a Co-op student, you can make an immediate contribution to AMD's next generation of technology innovations. We have a dynamic, high-energy work environment, filled with expert employees, and unique opportunities for developing your career. You will have the opportunity to connect with AMD leaders, receive one-on-one mentorship, attend amazing networking events and much more. With AMD, you can get hands-on experience that will give you a competitive edge in the workforce.
Get a jumpstart on an exciting career - apply today!
SUMMER 2024 RESEARCH INTERN
LOCATION:
Bellevue, WA or San Jose, CA
ONSITE: This role requires the student to work onsite from the Bellevue or San Jose office throughout the duration of the Co-op/Intern term.
PROGRAM TERM:
Summer: Start Date May 20, 2024
WHAT YOU'LL BE DOING:
You will work with world renowned scientists and engineers to advance the state of the art on large language models (LLMs), large multimodality models (LMMs), and other generative models. You will develop novel large scale distributed training algorithms and model architectures to improve the quality of models and accelerate the model training and inference speed of LLMs/LMMs. You are expected to work on the algorithm and model design, implementation, and evaluation. You will write paper submissions based on the internship work and release the code to the public.
KEY QUALIFICATIONS:
- Experience developing and debugging in Python
- Experience in ML frameworks such as PyTorch, JAX, TensorFlow
- Experience with distributed training
- Solid understanding of transformer architecture
- Experience on LLMs/LMMs finetuning, distillation, and/or RLHF
- Research experience and publications in ML, NLP, Vision and Language, or related fields
WHAT WOULD SET YOU APART:
- Expertise on LLM/LMM pretraining
- Expertise on distributed training frameworks
- Strong publication record
WHO WE'RE LOOKING FOR:
We are looking for students who are passionate about generative AI and enjoying the design and implementation of novel research ideas to improve the quality of LLMs/LMMs and other generative models, accelerate the training and inference speed, and influence future hardware and software directions.The ideal candidate will have expertise and hands-on experience on training LLMs/LMMs, familiar with hyper-parameter tuning, data processing, and latest training techniques for LLMs/LMMs. A PhD or MS degree in ML, NLP, Vision, or related fields is preferred.
BENEFITS:
- Healthcare coverage, dental, and vision
- Paid holidays
- Relocation stipend
- Education assistance for required Co-op/Intern course
At AMD, your base pay is one part of your total rewards package. Your base pay will depend on where your skills, qualifications, experience, and location fit into the hiring range for the position. You may be eligible for incentives based upon your role such as either an annual bonus or sales incentive. Many AMD employees have the opportunity to own shares of AMD stock, as well as a discount when purchasing AMD stock if voluntarily participating in AMD's Employee Stock Purchase Plan. You'll also be eligible for competitive benefits described in more detail here.
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.
