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Amd Machine Learning Jobs in California (NOW HIRING)

AMD

ML/AI Architect

San Jose, CA · On-site

Job Summary : AMD is a company focused on building innovative products that enhance computing ... Responsibilities : • Proficiency in machine learning in (neural networks) and Artificial ...

Voltai, Inc

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 ...

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 ...

AMD

Sr. Fellow, ML Workload Performance

San Jose, CA · On-site

$195K/yr

... in Machine Learning workload performance and optimization, driving strategies for performance enhancement across multiple generations of AMD GPUs. Responsibilities : • Define and drive the ...

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How much do amd machine learning jobs pay per hour?

As of Jul 7, 2026, the average hourly pay for amd machine learning in California is $22.52, according to ZipRecruiter salary data. Most workers in this role earn between $19.47 and $25.14 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.

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.
What are popular job titles related to Amd Machine Learning jobs in California? For Amd Machine Learning jobs in California, the most frequently searched job titles are:
What job categories do people searching Amd Machine Learning jobs in California look for? The top searched job categories for Amd Machine Learning jobs in California are:
What cities in California are hiring for Amd Machine Learning jobs? Cities in California with the most Amd Machine Learning job openings:
Amd Machine Learning jobs near you
Infographic showing various Amd Machine Learning job openings in California as of July 2026, with employment types broken down into 2% Locum Tenens, 34% Internship, 46% Full Time, 4% Part Time, 9% Contract, and 5% Summer. Highlights an 69% Physical, 5% Hybrid, and 26% Remote job distribution, with an average salary of $46,846 per year, or $22.5 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 20 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 141 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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