ZipRecruiter

Log In

1

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 ...

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, or equivalent LOCATION: San Jose, California #LI-CS1 Benefits offered are described: AMD ...

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 Jun 16, 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.

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.
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
Machine Learning(AI)

Machine Learning(AI)

Syntricate Technologies

San Jose, CA

Other

Posted 9 days ago

Job description

Position- Machine Learning(AI)
Duration-Contract
Location-San Jose, CA
JD
WHAT YOU'LL BE DOING Support users deploying AI models on Ryzen AI and other AI-enabled AMD CPUs Collaborate with R&D to improve the quality and the usability of AMD's development tools Develop and validate debug, optimization and deployment techniques Explore and document how to port cutting-edge AI models to AMD's devices Act as liaison for AI/Client Application Consultants located in Hyderabad, India KEY QUALIFICATIONS Bachelor/master's in computer science, computer engineering, data science/analytics, or a related field Strong Python programming skills Good C/C++ programming skills Excellent written/verbal communication skills Experience in a field associated with the deployment of AI/Client models Experience with AI framework like ONNX, Pytorch or TensorFlow Strong analytical skills WHAT WILL SET YOU APART Hands-on experience in optimizing and integrating an AI model in a SW application Prior experience in leading a small team of engineers
Regards,
Pallavi Verma
Sr. Technical Recruiter | Syntricate Technologies Inc.
Direct : 781-552-4333 |
Email : pallavi@syntricatetechnologies.com | Web: www.syntricatetechnologies.com
We're hiring! connect with us on LinkedIn nd visit our Jobs Portal
Minority Business Enterprise (MBE) Certified | E-Verified Corporation | Equal Employment Opportunity (EEO) Employer
This e-mail message may contain confidential or legally privileged information and is intended only for the use of the intended recipient(s). Any unauthorized disclosure, dissemination, distribution, copying or the taking of any action in reliance on the information herein is prohibited. Please notify the sender immediately by email if you have received this email by mistake and delete this e-mail from your system. You have received this email as we have your email address shared by you or from one of our data sources or from our member(s) or subscriber(s) list. If you do not want to receive any further emails or updates, please reply and request to unsubscribe .

Apply