Apple18.04.26
AI SCORE 8.5

Mid-Senior GenAI & ML Frameworks Engineer - Remote Opportunity

$172K–$258K/year

About the Role

We are seeking a passionate Mid-Senior GenAI & ML Frameworks Engineer to join our team remotely. In this role, you will be at the forefront of developing advanced machine learning solutions that enhance personalization and search capabilities. As a key member of the Apple Services GenAI & ML Frameworks team, you will work on cutting-edge technologies and methodologies to push the boundaries of what is possible in AI.

What You'll Do

  • Develop and implement machine learning algorithms and models to improve personalization and search accuracy.
  • Utilize advanced techniques such as foundation modeling, deep learning, and federated learning.
  • Collaborate with cross-functional teams to design scalable and efficient ML systems.
  • Optimize algorithms for resource conservation when delivering models to customer devices.
  • Engage in the training and deployment of large-scale distributed systems.

Requirements

  • BS/MS in a quantitative field such as Computer Science, Mathematics, or Statistics.
  • Proficient programming skills in Python.
  • Hands-on experience with deep learning frameworks like Jax, TensorFlow, or PyTorch.
  • Demonstrated experience in training or deploying large models.
  • Strong understanding of Deep Learning and Large Language Models (LLMs).

Nice to Have

  • Experience with Natural Language Processing (NLP).
  • Familiarity with model compression and transfer learning techniques.
  • Knowledge of algorithmic approaches to resource conservation.

What We Offer

  • Competitive base salary ranging from $171,600 to $258,100.
  • Comprehensive medical and dental coverage.
  • Retirement benefits and employee stock purchase plans.
  • Reimbursement for educational expenses related to career advancement.
  • Relocation support for eligible candidates.
Why This Job8.5 of 10

This role offers a unique opportunity to work at the cutting edge of AI and machine learning at Apple. With competitive compensation and a focus on innovation, it's an attractive position for professionals in the field.

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