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Amd Machine Learning Jobs (NOW HIRING)

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 ...

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 ...

AMD

Software Development Engineer - GPU

Required : • Strong technical background in GPU/APU programming, C++, and machine learning • Ability to communicate effectively and work optimally with different teams across AMD • Leadership ...

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 ...

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How much do amd machine learning jobs pay per hour?

As of Jun 4, 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 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 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.

Which 3 jobs will survive AI?

For Amd Machine Learning professionals, roles such as data scientists, machine learning engineers, and AI researchers are likely to persist as they require complex problem-solving, domain expertise, and ongoing innovation that AI tools currently cannot fully replicate. These jobs involve designing, developing, and maintaining AI systems, often requiring advanced programming skills, knowledge of algorithms, and critical thinking. Continuous learning and staying updated with new AI techniques are essential for long-term career resilience in this field.

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.

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Amd Machine Learning jobs near you
Infographic showing various Amd Machine Learning job openings in the United States as of May 2026, with employment types broken down into 93% Part Time, 5% Contract, and 2% Nights. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $47,468 per year, or $22.8 per hour.
Machine Learning(AI)

Machine Learning(AI)

Syntricate Technologies

San Jose, CA • On-site

Other

This job post has expired today. Applications are no longer accepted.

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
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