ZipRecruiter

Log In

1

Amd Machine Learning Jobs in Texas (NOW HIRING)

Advanced Micro Devices, Inc

ML/AI Engineer

Austin, TX · On-site

$156K/yr

The candidate is a technical expert in Machine Learning (ML) and Artificial Intelligence (AI) tool ... Work with AMD AI engineering team to ensure seamless AI development and integration. * Use AI ...

Advanced Micro Devices, Inc

ML/AI Engineer

Austin, TX · Hybrid

The candidate is a technical expert in Machine Learning (ML) and Artificial Intelligence (AI) tool ... Work with AMD AI engineering team to ensure seamless AI development and integration. * Use AI ...

next page

Showing results 1-20

All JobsAmd Machine Learning JobsAmd Machine Learning Jobs in Texas

Amd Machine Learning information

See Texas salary details

$12

$21

$28

How much do amd machine learning jobs pay per hour?

As of Jul 11, 2026, the average hourly pay for amd machine learning in Texas is $21.26, according to ZipRecruiter salary data. Most workers in this role earn between $18.37 and $23.75 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 Texas? For Amd Machine Learning jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Amd Machine Learning jobs in Texas look for? The top searched job categories for Amd Machine Learning jobs in Texas are:
Amd Machine Learning jobs near you
Infographic showing various Amd Machine Learning job openings in Texas as of July 2026, with employment types broken down into 2% Locum Tenens, 34% Internship, 47% Full Time, 4% Part Time, 8% Contract, and 5% Summer. Highlights an 69% Physical, 5% Hybrid, and 26% Remote job distribution, with an average salary of $44,224 per year, or $21.3 per hour.
Senior Data Scientist - People Analytics

Senior Data Scientist - People Analytics

AMD

Austin, TX • On-site

Full-time

Posted 2 days ago

New

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

Job Summary:
AMD is a company dedicated to building innovative products that enhance computing experiences across various domains. They are looking for a Senior Data Scientist in People Analytics to drive advanced analytics and AI-driven insights to support talent and organizational decisions, collaborating closely with HR and business leaders.
Responsibilities:
• Design and deliver analysis to influence decisions on talent strategy, workforce planning, engagement, and organizational design
• Build and scale repeatable analytics solutions and data products
• Partner with HR and business leaders to define key business questions and deliver data-driven recommendations
• Design and deliver AI agents to streamline data delivery and analysis for talent processes
• Collaborate with HR data engineering team to ensure data quality, governance, and accessibility
• Build proficiency in AMD AI tools and models
• Help shape the long-term People Analytics strategy at AMD
Qualifications:
Required:
• Business-first mindset – Focuses on solving business problems, not just building models; connects analytics to talent and organizational outcomes.
• Strong storyteller – Translates complex data into clear, compelling insights that resonate with senior leaders and drive decisions
• Technically versatile – Deep hands-on experience with data science tools (e.g., Dataiku, Python/R) and Power BI expertise, with a bias toward scalable, production-ready solutions
• AI-forward thinker – Comfortable leveraging AI/ML to enhance analytics, with curiosity to explore new tools and approaches. You will grow to become the “go-to” expert on how best to leverage AMD’s robust suite of AI tools and models to deliver efficient talent processes and analysis.
• Consultative partner – Builds strong relationships with HR and business leaders; asks the right questions and constructively challenges thinking
• Comfortable with ambiguity – Thrives in a fast-paced environment where problems are not always clearly defined
• High ownership and accountability – Takes initiative, drives work end-to-end, and follows through on commitments
• Collaborative and low ego – Works effectively across teams sharing knowledge and enabling others
• Continuous learner – Stays current on trends in people analytics, AI, and data visualization; actively improves skills and approaches
Preferred:
• Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Economics, Industrial & Organizational Psychology, or related field
• Experience in People Analytics
• Experience in data science and advanced analytics
• Hands-on experience building models using tools such as Dataiku, Python, R, or similar platforms
• Intermediate expertise in Power BI (data modeling, DAX, dashboard design, performance optimization)
• Basic understanding of statistical methods, machine learning, and experimental design
• Proven ability to translate data into business insights and influence decision-making
• Experience working with large, complex datasets across multiple sources
• Experience in People Analytics or HR data domains (e.g., talent management, engagement, workforce planning)
• Familiarity with HR systems (e.g., SAP SuccessFactors, Workday)
• Experience deploying ML models into production environments
• Knowledge of data storytelling for executive audiences
Company:
Advanced Micro Devices is a semiconductor company that designs and develops graphics units, processors, and media solutions. Founded in 1969, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Advanced Micro Devices employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply