ZipRecruiter

Log In

1

Amd Machine Learning Jobs in California (NOW HIRING)

Sciforium

Model Implementation Engineer

San Francisco, CA · On-site

$165K - $220K/yr

Backed by multi-million-dollar funding and direct sponsorship from AMD with hands-on support from ... Maintain and evolve a large-scale library of modern machine learning models, including but not ...

Sciforium

Senior Research Scientist

San Francisco, CA · On-site

$190K - $250K/yr

Backed by multi-million-dollar funding and direct sponsorship from AMD with hands-on support from ... What you'll do * Lead research in advanced machine learning areas such as LLMs, generative AI ...

next page

Showing results 1-20

All JobsAmd Machine Learning JobsAmd Machine Learning Jobs in California

Amd Machine Learning information

See California salary details

$13

$22

$30

How much do amd machine learning jobs pay per hour?

As of Jul 13, 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.
Director Software Development, AI Models and Research

Director Software Development, AI Models and Research

Advanced Micro Devices, Inc

San Jose, CA • On-site

$215K/yr

Full-time

Posted 4 hours ago

Advanced Micro Devices rating

8.4

Company rating: 8.4 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

25th of 142 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 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
#LI-MV1
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.

What Advanced Micro Devices employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply