Software Engineer - Generative Ai & Ml, Customer Systems

Apple

United States Of America, United States
Hybrid
4+ years ml backend engineering experience
1+ year llm training and fine-tuning
Proficiency in transformers and datasets libraries
Apple is seeking a Software Engineer to enhance its Customer Systems through the development of generative AI and machine learning features. The role involves collaborating with a team to improve AI applications that support Apple customers, focusing on innovation and high-quality solutions

Job Summary

  • The team is responsible for building multi-turn, conversational, agentic applications to support Apple customers across numerous lines of business.
  • You will contribute hands-on to enhancing a multi-modal, multi-agent platform with a key focus on incorporating research to improve latency, cost, and customer experience.
  • This role offers an incredible opportunity to contribute innovation and research to a well-established generative AI platform within Apple.

Matching Summary

Match Score: 85

Apple is seeking a Software Engineer to enhance its Customer Systems through the development of generative AI and machine learning features. The role involves collaborating with a team to improve AI applications that support Apple customers, focusing on innovation and high-quality solutions.

Skills & Requirements

Must-have

  • 4+ years ML backend engineering experience
  • 1+ year LLM training and fine-tuning
  • Proficiency in transformers and datasets libraries
  • Cloud environment deployment (AWS, GCP)
  • Bachelor's or Master's degree in CS or related field

Nice-to-have

  • Foundational understanding of RAG architectures
  • Experience with Multi-modal LLMs
  • Prior work with STT and TTS systems
  • Strong problem-solving and collaboration skills
  • Ability to adapt to production-grade systems

Key Requirements

  • 4+ years hands-on experience in ML or data engineering
  • 1+ year experience training or evaluating LLMs
  • Degree in Computer Science, Machine Learning, or equivalent
  • Required experience deploying to cloud environments

Work Rights

Not specified

Tailored Resume

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