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Amd Machine Learning Jobs (NOW HIRING)

Voltai

Machine Learning Engineer

Palo Alto, CA · On-site

About the Team Backed by Silicon Valley's top investors, Stanford University, and CEOs/Presidents of Google, AMD, Broadcom, Marvell, etc. We are a team of previous Stanford professors, SAIL ...

Advanced Micro Devices, Inc

ML/AI Architect

San Jose, CA · On-site

$210K/yr

Master's degree or PhD in Computer Science especially Graphics and/or Machine Learning, Computer Engineering LOCATION: San Jose, California #LI-CS1 Benefits offered are described: AMD benefits at a ...

Advanced Micro Devices, Inc

ML/AI Engineer

Austin, TX · On-site

$156K/yr

The candidate is a technical expert in Machine Learning (ML) and Artificial Intelligence (AI) tool ... Work with AMD AI engineering team to ensure seamless AI development and integration. * Use AI ...

Advanced Micro Devices, Inc

ML/AI Engineer

Austin, TX · Hybrid

The candidate is a technical expert in Machine Learning (ML) and Artificial Intelligence (AI) tool ... Work with AMD AI engineering team to ensure seamless AI development and integration. * Use AI ...

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Amd Machine Learning information

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How much do amd machine learning jobs pay per hour?

As of Jun 25, 2026, the average hourly pay for amd machine learning in the United States is $22.82, according to ZipRecruiter salary data. Most workers in this role earn between $19.71 and $25.48 per hour, depending on experience, location, and employer.

What are some common challenges faced by machine learning engineers at AMD, and how can applicants prepare to address them?

Machine learning engineers at AMD often work on optimizing algorithms for high-performance hardware, which requires balancing model accuracy with computational efficiency. A common challenge is adapting complex models to run efficiently on specialized AMD hardware such as GPUs and accelerators. Applicants can prepare by gaining hands-on experience with parallel computing, understanding low-level hardware optimization, and becoming familiar with AMD’s development tools and frameworks. Collaboration with hardware engineers and software teams is also frequent, so strong communication and teamwork skills are essential.

What are AMD machine learning engineers?

AMD machine learning engineers are professionals who develop, optimize, and deploy machine learning models using AMD hardware and software platforms. They work on designing algorithms and frameworks that leverage AMD GPUs and accelerators for tasks such as data analysis, computer vision, and artificial intelligence. Their responsibilities often include collaborating with software developers, data scientists, and hardware engineers to ensure machine learning solutions run efficiently on AMD architecture.

What is the difference between Amd Machine Learning vs Data Scientist?

AspectAmd Machine LearningData Scientist
Required CredentialsBachelor's or higher in CS, ML, or related fields; certifications like AWS, AzureBachelor's or higher in CS, Statistics, or related fields; certifications like SAS, Python
Work EnvironmentTech companies, R&D labs, AI startupsBusiness analytics, finance, healthcare, tech firms
Industry UsageDeveloping ML models, algorithms, AI solutionsData analysis, insights, predictive modeling
Common Search/ComparisonYesYes

While both roles involve working with data and algorithms, Amd Machine Learning focuses on developing machine learning models and AI solutions, often requiring specialized technical skills. Data Scientists analyze data to generate insights and support decision-making, with a broader scope that includes statistical analysis. Both roles are vital in tech-driven industries but differ in their primary focus and skill sets.

Can AMD be used for machine learning?

AMD provides hardware such as Ryzen CPUs and Radeon GPUs that can be used for machine learning tasks. AMD's ROCm platform supports popular frameworks like TensorFlow and PyTorch, enabling developers to run machine learning workloads on AMD hardware effectively.

What engineers make $500,000?

Senior machine learning engineers and AI specialists with extensive experience, advanced skills in deep learning, and proficiency in tools like TensorFlow or PyTorch can reach salaries of $500,000 or higher, especially in high-cost-of-living areas or top tech companies. Achieving this level often requires a strong educational background, specialized certifications, and a track record of impactful projects.

Is it hard to get hired at AMD?

Getting hired for an AMD Machine Learning role can be competitive due to the company's focus on advanced technology and skilled candidates. Candidates typically need a strong background in machine learning, programming skills in languages like Python or C++, and relevant experience or certifications. The hiring process often involves technical interviews and assessments to evaluate technical proficiency and problem-solving abilities.

Which 3 jobs will survive AI?

Amd Machine Learning professionals are likely to find that roles involving complex problem-solving, creative thinking, and human interaction will persist despite AI advancements. Jobs such as data scientists, AI specialists, and machine learning engineers will continue to be in demand due to their need for specialized skills, domain knowledge, and ongoing innovation. These roles often require advanced programming, understanding of algorithms, and continuous learning to adapt to evolving technologies.

What are the key skills and qualifications needed to thrive as an AMD Machine Learning Engineer, and why are they important?

To thrive as an AMD Machine Learning Engineer, you need strong programming skills in Python or C++, a deep understanding of machine learning algorithms, and typically a degree in computer science or a related field. Familiarity with AMD hardware, GPU acceleration libraries like ROCm, and frameworks such as TensorFlow or PyTorch is essential. Analytical thinking, problem-solving, and effective collaboration are vital soft skills for excelling in this multidisciplinary environment. These skills ensure robust ML model development and optimization that leverage AMD hardware capabilities for high-performance computing applications.
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Amd Machine Learning jobs near you
Infographic showing various Amd Machine Learning job openings in the United States as of June 2026, with employment types broken down into 100% Part Time. Highlights an 65% Physical, 13% Hybrid, and 22% Remote job distribution, with an average salary of $47,468 per year, or $22.8 per hour.
Sr. Fellow Machine Learning Engineer

Sr. Fellow Machine Learning Engineer

Advanced Micro Devices, Inc

San Jose, CA • On-site

$255K/yr

Full-time

Posted 8 days ago

Advanced Micro Devices rating

8.4

Company rating: 8.4 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

22nd of 139 rated electronics manufacturers

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 looking for a Fellow/Sr. Fellow Machine Learning Engineer to join our Training At Scale team. If you are excited by the challenge of distributed training of large models on a large number of GPUs, and if you are passionate about improving training efficiency while innovating and generating new ideas, then this role is for you. You will be part of a world class team focused on addressing the challenge of training generative AI.
THE PERSON:
The ideal candidate should have experience with distributed training pipelines, be knowledgeable in distributed training algorithms (Data Parallel, Tensor Parallel, Pipeline Parallel, Expert Parallel), and be familiar with training large models.
KEY RESPONSIBILITIES:
  • Train large models to convergence on AMD GPUs at scale.
  • Improve the end-to-end training pipeline performance on large scale GPU cluster.
  • Improve the end-to-end debuggability on large scale GPU cluster.
  • Design and optimize the distributed training pipeline and software stack to scale out.
  • Contribute your changes to open source.
  • Stay up-to-date with the latest training algorithms/frameworks.
  • Influence the direction of AMD AI platform.
  • Collaborate across teams with various groups and stakeholders.

PREFERRED EXPERIENCE:
  • Strong background in machine learning, distributed systems, or AI infrastructure.
  • Proven experience building and optimizing distributed training systems for large models.
  • Prefer experience in both model and application-level development and optimization.
  • Strong familiarity with ML frameworks (PyTorch, JAX, TensorFlow) and distributed frameworks (TorchTitan, Megatron-LM).
  • Hands-on expertise with LLMs, recommendation systems, or ranking models.
  • Proficiency in Python and C++, including performance profiling, debugging, and large-scale optimization.
  • Experience collaborating across hardware, compiler, and system software layers.
  • Excellent communication, and problem-solving skills.

ACADEMIC CREDENTIALS
Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
LOCATION
San Jose, CA or Bellevue, WA preferred. Other U.S. locations near AMD offices may be considered.
#LI-MV1
#HYBRID
This role is not eligible for visa sponsorship.
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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