Machine Learning Engineer

Summary

Are you excited about using AI/ML models to drive innovation across disciplines? Are you passionate about developing intelligent agents that transform how engineering decisions are made? If so, please come and join us!

We are a Hardware tech team focused on cellular modem verification that enhance the cellular modem verification,Triage and release processes behind millions of Apple products. This is a unique opportunity to apply your AI/ML expertise and software development skills to have a real impact at scale.

Description

We are seeking a creative and motivated Machine learning engineer with a strong background in machine learning and automation software development. This role requires integrating different software and hardware solutions to build world-class intelligent automation system to deliver world class Apple products.

Responsibilities

• Serve as a founding engineer to shape the project’s technical foundation.
• Stay up to date with the evolving AI/ML landscape and help improve our tools, infrastructure, and practices based on new developments
• Collaborate with senior engineers and cross-functional partners to understand requirements and translate them into concrete technical tasks.
• Partner with systems, firmware, verification and Automation teams to define workflow applying AI/ML.
• Benchmark, adapt, and integrate AI/ML models into existing verification methodology and workflow.
• Architect and implement the end-to-end automation solution using AI/ML.
• Deploy and support AI tools for engineering teams.
  
  

Minimum Qualifications

• 5 years relevant industry experience
• Strong understanding of generative AI models, particularly large language models (LLMs).
• Hands-on experience developing AI-powered applications
• Proficiency in Python
• Experience with ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn)
  
  

Preferred Qualifications

• Demonstrated ability to bring innovative AI research into production systems
• Excellent software engineering skills, versed in modular and object-oriented design methodology and general SW standard processes
• - Bachelor's or Master’s in Computer Science Engineering is preferred