Machine Learning Engineer, (Applied Machine Learning), AI & Data Platforms (AiDP)

Sunnyvale, CA, US • Posted 1 hour ago • Updated 1 hour ago
Full Time
On-site
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Privacy
  • Innovation
  • Pivotal
  • Optimization
  • High Availability
  • Scalability
  • Artificial Intelligence
  • Research and Development
  • Conflict Resolution
  • Problem Solving
  • Science
  • Computer Science
  • Natural Language Processing
  • Computer Vision
  • Training
  • Machine Learning (ML)
  • Generative Artificial Intelligence (AI)
  • Cloud Computing
  • Amazon Web Services
  • Google Cloud Platform
  • Google Cloud
  • Microsoft Azure

Summary

Imagine what you could do here. At Apple, revolutionary ideas have a way of becoming extraordinary products, services, and customer experiences. Join the Ai Data Platform Applied Machine Learning team to pioneer enterprise solutions where generative AI meets Apple's unique commitment to privacy-first innovation. Together, we'll create tools that redefine industries while safeguarding what matters most - our users' trust.

Description

As a pivotal member of Apple's enterprise generative AI efforts, you will help design, build,

and evolve models, tools and applications that power high-impact AI experiences across

the company. You will contribute to the architecture and optimization of AI/gen AI systems

built for high availability, scalability, and reliability, working across backend services and

application layers.

Minimum Qualifications

2+ years of hands-on experience in applied AI/machine learning work in industry or 4+

years of hands on AI research and development experience in academia

Demonstrated expertise in generative AI, computer vision, natural language processing, or

general machine learning with a passion for problem solving

Bachelor of Science in Computer Science, Machine Learning or equivalent experience work experience

Preferred Qualifications

MS or Phd in Machine Learning, Natural Language Processing, Computer Vision or

related areas strongly preferred

Experience in ML frameworks for training, fine-tuning, and deploying ML/generative

models at scale

Proven track record of building large scale, enterprise-grade ML/Gen-AI products in cloud

environments (AWS, Google Cloud Platform , Azure) or on-prem infrastructure
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: 98f2f61f21026d8b0d7218025b6645b5
  • Posted 1 hour ago
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