Machine Learning Engineer, Apple Services Engineering

Washington, WA, US • Posted 21 hours ago • Updated 8 hours ago
Full Time
On-site
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Generative Artificial Intelligence (AI)
  • Spectrum
  • Modeling
  • Data Compression
  • Algorithms
  • Innovation
  • Art
  • Machine Learning (ML)
  • Python
  • JAX
  • TensorFlow
  • PyTorch
  • Training
  • Deep Learning
  • Large Language Models (LLMs)
  • Computer Science
  • Statistics
  • Physics

Summary

Are you passionate about building extraordinary products and embracing state of art techniques? It's central to all that we do! The goal of the Apple Services GenAI & ML Frameworks team is to take personalization, search, and more to the next level of intelligence and accuracy using advanced ML and statistical techniques.

We work on a wide spectrum of approaches, including foundation modeling, deep learning, model compression, transfer learning, federated learning and more. We work on core machine learning algorithms and models to power personalization in an efficient and scalable manner. We also work on algorithmic approaches to conserve resources when delivering these models to our customers' devices. This position involves a wide variety of skills and innovation. This is a rare opportunity that sits at the state of the art of machine learning and software!

BS/MS in a quantitative field, including Computer Science, Maths, Statistics, Physics, etc.\n2+ years of relevant work experience\nProficient programming skills in Python\nHands-on experience working with deep learning toolkits such as Jax, Tensorflow or PyTorch\nProven track record in training or deployment of large models or building large-scale distributed systems\nDeep understanding of Deep Learning and Large Language Models (LLMs)\nNatural Language Processing

PhD in a quantitative field, including Computer Science, Maths, Statistics, Physics, etc.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90733111
  • Position Id: d3f6e58c7369f7089f46acabf049a20a
  • Posted 21 hours ago
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