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Amd Machine Learning Jobs (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 ...

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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.

More about Amd Machine Learning jobs
What cities are hiring for Amd Machine Learning jobs? Cities with the most Amd Machine Learning job openings:
What states have the most Amd Machine Learning jobs? States with the most job openings for Amd Machine Learning jobs include:
What job categories do people searching Amd Machine Learning jobs look for? The top searched job categories for Amd Machine Learning jobs are:
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.
AMD Public-New York-Vice President-Software Engineering

AMD Public-New York-Vice President-Software Engineering

Goldman Sachs

New York, NY

Other

Posted 23 days ago

Goldman Sachs rating

8.3

Company rating: 8.3 out of 10

Based on 25 frontline employees who took The Breakroom Quiz

29th of 141 rated banks

Job description

What We Do

At Goldman Sachs, our Engineers don't just make things - we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets.

Engineering, which is comprised of our Technology Division and global strategist groups, is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions. Want to push the limit of digital possibilities? Start here.

Who We Look For

As a Global Lead VP in Product Control team, you will be an integral part of the AMD Engineering Ecosystem. You will design and implement complex, scalable systems for AMD back- office space. You will also participate in various projects and initiatives within Product Control technology while ensuring the scalability and integrity of the platform.

SKILLS AND EXPERIENCE WE ARE LOOKING FOR

  • Bachelor's degree in Computer Science, Mathematics, Electrical Engineering or related technical discipline
  • Expertise in Java Spring & Relational Databases
  • 5+ years of experience in software development, including a strong understanding of data structures, algorithms, software design and application architecture
  • 5+ years of experience in at least one object-oriented programming language (e.g. C++, C#, Java)
  • 5+ Years AWS Cloud experience (e.g. Lamba, Queue, fargate, etc)
  • Comfortable multi-tasking, managing multiple stakeholders and working as part of a team
  • Good Leadership skills and strong communication skills.
  • Excellent communication skills including experience speaking to technical and business audiences and working globally

Preferred Qualifications

  • In-depth knowledge of relational and columnar SQL databases, including database
  • Design 
  • Experience with continuous delivery and deployment
  • Proficient at working with large and complex code bases
  • Comfortable working in highly dynamic and rapid development environment (Agile
  • development experience)
  • Working knowledge/experience in the financial or banking industry
  • Technologies & Tools: Java, Web/RESTful service development: HTML 5, JavaScript/AngularJS, JSON, SQL, testing and build tools, Scala, Spark, QlikView (Internal languages/systems: EP Workflow, Slang, DataStream)

ABOUT GOLDMAN SACHS

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. 

We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.

We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html

The Goldman Sachs Group, Inc., 2023. All rights reserved.
Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.

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About Goldman Sachs

Sourced by ZipRecruiter

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1869

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