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Amd Machine Learning Jobs (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 ...

Advanced Micro Devices, Inc

Manufacturing Engineer

Austin, TX · Hybrid

$72K - $93K/yr

The role is critical to advancing AMD's assembly capabilities, particularly for our expanding portfolio of Machine Learning and Artificial Intelligence products. Success in this position requires ...

Advanced Micro Devices, Inc

Manufacturing Engineer

Austin, TX · Hybrid

$72K - $93K/yr

The role is critical to advancing AMD's assembly capabilities, particularly for our expanding portfolio of Machine Learning and Artificial Intelligence products. Success in this position requires ...

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 ...

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All JobsAmd Machine Learning Jobs

AMD Machine Learning information

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$13

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How much do amd machine learning jobs pay per hour?

As of Jun 26, 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 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.
More about AMD Machine Learning jobs
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What states have the most Amd Machine Learning jobs? States with the most job openings for Amd Machine Learning jobs include:
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AMD Machine Learning jobs near you
Infographic showing various Amd Machine Learning job openings in the United States as of June 2026, with employment types broken down into 100% Part Time. Highlights an 65% Physical, 13% Hybrid, and 22% Remote job distribution, with an average salary of $47,468 per year, or $22.8 per hour.
Senior Data Scientist - Business Analytics - AI

Senior Data Scientist - Business Analytics - AI

Advanced Micro Devices, Inc

San Jose, CA • On-site

Full-time

Posted 18 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 139 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.  



Job Summary

The Senior Data Scientist – Business Analytics & AI is a senior individual contributor role responsible for driving data-driven decision making through advanced analytics, machine learning, and intelligent automation. This role partners closely with cross-functional teams to deliver scalable analytics solutions, predictive insights, and AI-enabled capabilities across business and financial domains.

Key ResponsibilitiesData Science & Advanced Analytics
  • Perform advanced business and financial analysis, including trend analysis, variance analysis, and scenario modeling.
  • Support forecasting, revenue analysis, and performance tracking across multiple business dimensions.
  • Build, test, and refine machine learning models to improve forecasting accuracy and predictive insights.
  • Apply statistical, predictive, and ML techniques to large, complex datasets.
  • Evaluate model performance, interpret results, and communicate insights to non-technical stakeholders.
  • Continuously evolve analytics from descriptive to predictive and prescriptive use cases.
Automation & AI Enablement
  • Identify opportunities to automate recurring analytical processes using AI, ML, and scripting tools.
  • Develop intelligent solutions that reduce manual effort and improve speed, scalability, and reliability.
  • Contribute to AI-driven insights, alerts, and decision-support capabilities embedded in analytics workflows.
Dashboarding & Reporting
  • Design, build, and maintain interactive dashboards and reporting solutions using Power BI.
  • Develop and optimize SQL-based data models to support reporting, analytics, and self-service insights.
  • Ensure data accuracy, consistency, and performance across dashboards and reporting assets.
  • Translate complex datasets into clear, actionable insights for business and finance stakeholders.
Cross-Functional Collaboration
  • Partner with stakeholders across business, finance, data engineering, and IT to deliver end-to-end analytics solutions.
  • Own analytics problems from definition through implementation with minimal supervision.
  • Communicate findings, recommendations, and technical concepts clearly to diverse audiences.
  • Act as a trusted data science and analytics partner across the organization.
Required Qualifications
  • Bachelor’s degree in Business, Finance, Economics, Engineering, Computer Science, Data Science, or a related field, or equivalent experience.
  • 5+ years of experience in data science, analytics, business intelligence, or related roles.
  • Strong proficiency in SQL and experience working with large, complex datasets.
  • Hands-on experience with Power BI or similar data visualization tools.
  • Solid understanding of forecasting, revenue, and financial concepts.
  • Experience applying machine learning techniques to business or financial problems.
  • Strong problem-solving and communication skills.
Preferred Qualifications
  • Experience building and deploying ML models for forecasting or predictive analytics.
  • Proficiency in Python, R, or similar languages for data science and automation.
  • Experience applying AI-based automation to analytics or reporting workflows.
  • Experience working in a global, matrixed organization.
  • Technology or data-intensive industry experience.

 This role is not eligible for visa sponsorship. 

#LI-RL1



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.

Qualifications:

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.

Education:UNAVAILABLEEmployment Type: FULL_TIME

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