Sr. Machine Learning Research Engineer, Siri Speech

Cupertino, CA, US • Posted 60+ days ago • Updated 1 hour ago
Full Time
On-site
Fitment

Dice Job Match Score™

🔢 Crunching numbers...

Job Details

Skills

  • Research
  • Management
  • IOS Development
  • OS X
  • Artificial Intelligence
  • Shipping
  • Natural Language
  • ACL
  • Python
  • Deep Learning
  • JAX
  • PyTorch
  • TensorFlow
  • Mathematics
  • Computer Science
  • Data Compression
  • Algorithms
  • Optimization
  • Software Design
  • Parallel Computing
  • Machine Learning (ML)
  • Training
  • Evaluation
  • Privacy

Summary

Join the team redefining what a deeply personal and integrated assistant can be.

As part of the Siri organization, you will help shape one of the world's most widely used AI assistants, powered by our next-generation of Apple Intelligence, with capabilities like personal context understanding and on-screen awareness, built with privacy from the ground up. Your work will have direct, meaningful impact for users across iOS, iPadOS, macOS, watchOS, and visionOS.

This is a rare opportunity to build at the intersection of cutting-edge AI and human-centered design, shipping technology that is centered around users and their needs.

Description

On the Siri team, you will work alongside a fast-growing team of world-class engineers and scientists to tackle core problems in efficient machine learning for effective

dialog systems and foundation models-ranging from natural language understanding and multi-turn context tracking, to the integration of speech, text, and other modalities.

Minimum Qualifications

Demonstrated expertise in efficient deep learning with publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, KDD, ACL, ICASSP, InterSpeech) or a track record in applying efficient deep learning techniques to products

Proficient programming skills in Python and one of the deep learning toolkits such as JAX, PyTorch, or Tensorflow

PhD in Mathematics or Computer Science, or other technical field, or equivalent industry experience

Preferred Qualifications

Strong expertise in efficient machine learning, model compression and algorithm optimization techniques

A track record in software design, coding and parallel computing

Experience with large scale machine learning training/evaluation

On-device intelligence and learning with strong privacy protections

Ability to work in a collaborative environment
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: 6cdf5a50e6bbe4110c4d5d8c1194e87f
  • Posted 30+ days ago
Create job alert
Set job alertNever miss an opportunity! Create an alert based on the job you applied for.

Similar Jobs

Santa Clara, California

Today

Full-time

San Jose, California

Today

Full-time

USD 45.00 - 45.00 per hour

San Jose, California

Today

Full-time

USD 128,000.00 - 316,800.00 per year

Cupertino, California

Today

Full-time

Search all similar jobs