ML/AI Engineer
AMD · Austin, TX
- On site
- Full-time
- $130,000 / year
- Austin, TX
Job highlights
- Develop and deploy ML/AI tools using Python, JavaScript, C++.
- Automate data analytics and identify AI/ML application opportunities.
- Develop ML/AI models and monitor production data quality.
- Collaborate with the AMD AI engineering team on integration.
- Make strategic recommendations based on AI analysis.
About the role
ML AI Engineer at AMD
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.
The Role
The candidate is a technical expert in Machine Learning (ML) and Artificial Intelligence (AI) tool development, ML/AI model deployment, and quality control. The candidate works within our AI engineering team to automate data analytics, identifies opportunities for ML and AI applications, develops ML/AI models, monitors the output data quality in production environments.
The Person
The ideal candidate will have a strong understanding of machine learning, principles of statistical analysis and algorithms, as well as experience with developing and deploying ML/AI models in production.
Key Responsibilities
- Develop, deploy, and test ML/AI software tools.
- Use Python, JavaScript, and C++ to create a faster, more capable AI.
- Conduct data analytics and statistical analysis, develop algorithms and automation scripts.
- Work with AMD AI engineering team to ensure seamless AI development and integration.
- Use AI analysis to make strategy recommendations that align with the team’s goals.
- Stay current on AI knowledge, trends, and regulations.
- Collect, organize, and present progress with team leadership and stakeholders.
Preferred Experience And Skills
- In-depth knowledge of computer programming languages, such as Python, JavaScript, and C++.
- Deep understanding of data science, linear algebra, algorithms, and statistics.
- Experience developing and deploying machine learning.
- Practical knowledge of neural networks and data science.
- Experience with PyTorch, Tensorflow and Python packages, such as NumPy (Plus).
- Experience with web development using Javascript and frameworks such Flask, Angular, ASP.Net Core, etc. (Plus).
- Experience using relational (SQL) and noSQL databases.
- Excellent problem-solving skills with the ability to thrive in a demanding, fast-paced work environment.
- Strong interpersonal and communication skills and a willingness to collaborate with different functional teams.
Academic Credentials
Bachelor’s degree or master’s degree in Computer Science, Computer Engineering, Mathematics, or related field.
Key skills/competency
- Machine Learning
- Artificial Intelligence
- Python
- JavaScript
- C++
- Data Science
- Algorithm Development
- Model Deployment
- Statistical Analysis
- Neural Networks
Skills & topics
- ML Engineer
- AI Engineer
- Machine Learning
- Artificial Intelligence
- Python
- JavaScript
- C++
- Data Science
- Algorithm Development
- Model Deployment
- Statistical Analysis
- Neural Networks
- PyTorch
- Tensorflow
- SQL
- NoSQL
- Austin
- Texas
- Computer Science
- Computer Engineering
- Mathematics
How to get hired
- Tailor your resume: Highlight ML/AI experience, programming languages (Python, JavaScript, C++), and database skills.
- Showcase your projects: Detail your experience with ML/AI model development, deployment, and statistical analysis.
- Prepare for technical interviews: Brush up on data science, algorithms, linear algebra, and frameworks like PyTorch/Tensorflow.
- Demonstrate collaboration: Be ready to discuss how you work with cross-functional teams and present progress.
- Research AMD's culture: Understand their focus on innovation, collaboration, and solving important challenges.
Technical preparation
Behavioral questions
Frequently asked questions
- What are the primary programming languages used for the ML AI Engineer role at AMD?
- For the ML AI Engineer position at AMD, the primary programming languages you'll be working with are Python, JavaScript, and C++. Proficiency in these languages is crucial for developing and deploying ML/AI tools and applications.
- What kind of experience is expected for ML/AI model development and deployment at AMD?
- AMD seeks candidates with practical experience in developing and deploying machine learning models. This includes a deep understanding of data science principles, algorithms, and statistical analysis, as well as hands-on experience with frameworks like PyTorch and TensorFlow.
- Does AMD offer opportunities for career growth in AI and Machine Learning?
- Yes, AMD emphasizes career advancement. Joining AMD means you'll be shaping the future of AI and can advance your career within a culture of innovation and collaboration, working on cutting-edge products.
- What academic background is preferred for the ML AI Engineer position at AMD?
- AMD prefers candidates with at least a Bachelor's degree in Computer Science, Computer Engineering, Mathematics, or a related field. A Master's degree in a similar discipline is also highly valued.
- What are the key responsibilities of an ML AI Engineer at AMD regarding data analysis?
- As an ML AI Engineer at AMD, you will conduct data analytics and statistical analysis, develop algorithms and automation scripts, and use AI analysis to make strategy recommendations. You'll also monitor output data quality in production environments.
- Are there any 'plus' skills that would make a candidate stand out for the ML AI Engineer role at AMD?
- Yes, candidates with experience using PyTorch, Tensorflow, and Python packages like NumPy will stand out. Additionally, experience with web development using JavaScript frameworks (e.g., Flask, Angular, ASP.Net Core) and with relational (SQL) and NoSQL databases are considered pluses.
- How does AMD approach AI and Machine Learning development within the company?
- AMD focuses on building great products that accelerate computing experiences. The AI engineering team works collaboratively to automate data analytics, identify ML/AI opportunities, develop models, and ensure seamless AI development and integration.