Machine Learning Engineer (Search)

Cupertino, CA, US • Posted 2 days ago • Updated 2 hours ago
Full Time
On-site
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Generative Artificial Intelligence (AI)
  • Java
  • C++
  • Python
  • TensorFlow
  • PyTorch
  • JAX
  • Communication
  • Attention To Detail
  • Computer Science
  • Facets
  • Natural Language Processing
  • Extraction
  • Clustering
  • Semi-supervised Learning
  • Modeling
  • Mathematics
  • Machine Learning (ML)
  • Linear Algebra
  • Statistics
  • Big Data
  • Apache Hadoop
  • Apache Spark
  • Apache Hive

Summary

Apple Maps and the thousands of applications it empowers are being used by millions every single day! As a fundamental tool for human activity, Maps technology is evolving and new techniques are emerging. We are looking for a Machine Learning Engineer to join and play a big part in the next revolution of Maps; to enable users to find more things in innovative ways. On our team, you will have plenty of opportunities to build groundbreaking technologies using Machine Learning and Generative AI at scale to improve the search quality for Apple Maps.

Description

Apple Maps and the thousands of applications it empowers are being used by millions every single day! As a fundamental tool for human activity, Maps technology is evolving and new techniques are emerging. We are looking for a Machine Learning Engineer to join and play a big part in the next revolution of Maps; to enable users to find more things in innovative ways. On our team, you will have plenty of opportunities to build groundbreaking technologies using Machine Learning and Generative AI at scale to improve the search quality for Apple Maps.

Minimum Qualifications

MS in computer science or equivalent field with 2+ years of industry experience

Proven record in delivering end-user facing Machine Learning driven products

Strong programming experience in one or more of the following: Java, C++, Python

Knowledge and experience with one of Tensorflow/Pytorch/Jax frameworks.

Excellent interpersonal and communication skills - working independently and/or in small teams

Attention to detail, data accuracy and quality of output.

Preferred Qualifications

Ph.D in computer science or equivalent field with 2+ years of industry experience.

Expertise and experience in various facets of machine learning and natural language processing, such as classification, feature engineering, information extraction, clustering, semi-supervised learning, topic modeling and ranking

Practical understanding of the mathematics behind modern machine learning, linear algebra and statistics.

Good knowledge of big data processing, prior experience with Hadoop, Spark, Hive is highly desired.
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: 11ec91cbc5ce9839b1d1aa9dcd863418
  • Posted 2 days ago
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