ZipRecruiter

Log In

1

Amd Machine Learning Jobs in California (NOW HIRING)

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 ...

Supermicro

Sr. System Engineer - Network

San Jose, CA · On-site

$121K - $167K/yr

... Machine Learning • 8+ years of Linux/networking debugging/testing or relevant experience ... AMD/NVIDIA development tool kits such as CUDA, oneAPI, ROCm is a plus • Experience with server ...

previous page

Showing results 41-60

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 Aug 8, 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 is an AMD machine learning engineer?

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?

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 August 2026, with employment types broken down into 92% Full Time, and 8% Temporary. Highlights an 90% In-person, 5% Hybrid, and 5% Remote job distribution, with an average salary of $46,846 per year, or $22.5 per hour.

Director, AI Research

Advanced Micro Devices, Inc

Santa Clara, CA • On-site

$215K/yr

Full-time

Posted 4 days ago

Advanced Micro Devices rating

8.6

Company rating: 8.6 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

27th of 156 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 :
AMD is looking for a Director of AI Research to set and lead a research agenda at the intersection of frontier AI and AMD silicon. This is a senior leadership role for a researcher who can see across the full picture-reinforcement learning and model training, AI-for-systems, and the hardware and software that make large models fast-and turn that breadth into a focused, high-impact program.
THE PERSON:
You will build and lead a team of AI researchers and research engineers, set technical direction across multiple workstreams, and partner across AMD and with external collaborators to ensure research translates into real advantage-for AMD's products, its hardware roadmap, and the models that run on AMD platforms. The ideal candidate is a recognized technical leader with deep research credibility who can still go hands-on when it counts, and who knows how to turn open-ended research into measurable outcomes. We are open to candidates who want to remain hands-on as player-coaches as well as those who lead primarily through their teams.
KEY RESPONSIBILITIES:
  • Define and own a coherent AI research agenda spanning reinforcement learning, model training and optimization, and AI-for-systems, aligned to AMD's strategic priorities
  • Build, lead, and mentor a high-caliber team of AI researchers and research engineers; set research direction, hiring bar, and standards for technical excellence
  • Prioritize across competing research opportunities and focus the team on the work with the highest leverage for AMD
  • Ensure research translates into impact-influencing the hardware and software roadmap, improving model performance on AMD platforms, and strengthening external partnerships
  • Partner deeply across silicon, architecture, compiler, and software teams, and with external labs and collaborators, to ground research in real problems and real deployment
  • Build the evaluation, infrastructure, and verification practices that make research results trustworthy and reproducible
  • Set and track measurable goals for the research program-verifiable technical milestones, model and workload performance, and roadmap influence
  • Represent AMD's research agenda to executive leadership and to external partners; communicate results, trade-offs, and direction to both technical and business audiences
  • Attract, hire, and develop top AI research talent, and help build AMD's reputation as a destination for serious AI research
  • Stay at the frontier of AI research and translate emerging techniques into opportunity for AMD

PREFERRED EXPERIENCE:
  • Demonstrated technical leadership in AI/ML research, with a strong track record of impactful published work and/or research shipped into production or frontier models
  • Deep, current expertise in one or more core areas-reinforcement learning, large-scale model training, AI-for-systems, or AI performance optimization-with the breadth to lead across several
  • Experience leading research teams and setting technical direction across multiple concurrent programs
  • Strong understanding of the hardware-software stack underpinning large-model training and inference
  • Ability to remain hands-on with training pipelines, research prototyping, or systems work while leading a team
  • Excellent communication skills, with the ability to influence executives, partners, and engineers across organizational boundaries
  • Track record of attracting, hiring, and developing top AI research talent

ACADEMIC CREDENTIALS:
  • PhD in Computer Science, Electrical Engineering, Machine Learning, or a related field, or equivalent research experience and demonstrated impact

#LI-BW1
#LI-hybrid
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