Senior ML Infrastructure Engineer - VE Algorithms

San Diego, CA, US • Posted 60+ days ago • Updated 9 hours ago
Full Time
On-site
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Modeling
  • Video Engineering
  • Value Engineering
  • Video
  • Cross-functional Team
  • Algorithms
  • Computer Hardware
  • Electrical Engineering
  • Computer Science
  • FOCUS
  • Fluency
  • PyTorch
  • Python
  • C++
  • Training
  • Machine Learning (ML)

Summary

Are you passionate about groundbreaking modeling technologies to enrich billions of people? We are the Video Engineering (VE) team at Apple developing cutting-edge video and machine learning algorithms to build the photo and video features that Apple devices are well known for. We are seeking engineers experienced in building infrastructure for training, adapting and deploying large-scale generative models. In this role, you will be working closely with a cross functional team of algorithm design and infrastructure engineers to benchmark, prototype and steer algorithmic choices to best fit our training and deployment infrastructure.

Description

In this role you will be technically hands on, with deep subject matter expertise in ML infrastructure, focusing on distributed and parallelized training of images and videos, and efficient utilization of training hardware.

Minimum Qualifications

BS in Electrical Engineering/Computer Science or a related field, with a focus on machine learning and minimum 3 years industry experience.

Experience in training and adapting LLMs.

Advanced fluency in PyTorch.

Excellent programming skills in Python or C++ and experience contributing software to large projects.

Experience with distributed training of large models.

Preferred Qualifications

Strong Machine Learning fundamentals.

Experience working with large cross-functional and diverse teams.
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: cfda5bc7bde1fb7331933bb9e02bedc2
  • Posted 30+ days ago
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