Graduate Machine Learning Engineer

$112,722 - $152,507/Yr

ARM - Austin, TX

Full-time - Intern

Hybrid - Austin, TX

About the position

The Machine Learning Engineer Graduate position at Central Technology - Machine Learning (CT-ML) focuses on developing innovative machine learning technologies that enhance performance, power, and area (PPA) on ARM platforms. The role involves collaborating across hardware, software, and algorithms to support ARM IP development and drive algorithm development and optimization techniques.

Responsibilities

• Develop an in-depth understanding of ML workloads and algorithms to optimize PPA on ARM platforms.
• Conduct ML workload analysis and serve as the ML workload expert to support ARM IP development phases.
• Devise algorithms and prototypes on current platforms to support future architecture exploration.
• Develop internal tooling capabilities to support algorithmic and architecture exploration.

Requirements

• Pursuing a Master or PhD degree in Computer Engineering, Electrical Engineering, Computer Science, or related technical fields.
• Proficient in computer architecture with basic knowledge of hardware and software design.
• Experience in developing and working with large software systems in programming languages like Python.
• Knowledge of state-of-the-art deep learning libraries such as TensorFlow and PyTorch.

Nice-to-haves

• Experience with ML model optimization techniques targeted for ARM compute platforms.
• Adaptability to the fast-moving ML industry and willingness to learn new technologies in a dynamic environment.

Benefits

• Competitive salary and comprehensive rewards package.
• Support and autonomy to excel in your career.
• Opportunities for professional growth through mid-year and year-end reviews.
• Participation in 'Grad-teach-Grads' workshops and guest speaker series.
• Invitation to the exclusive Global Graduate Conference (GGC).