Machine Learning Engineer

A leading technology company that creates innovative products, services, and customer experiences.
$175,800 - $264,200
Machine Learning
Senior Software Engineer
In-Person
5,000+ Employees
5+ years of experience
AI · Enterprise SaaS

Description For Machine Learning Engineer

Join Apple's Global Sourcing & Supply Management (GSSM) Solutions team as a Machine Learning Engineer, where you'll be at the forefront of revolutionizing supply chain operations through AI and ML innovations. As part of the core AIML team, you'll design and develop cutting-edge models and GenAI applications, working directly with business stakeholders to drive strategic decisions. The role offers an opportunity to work with state-of-the-art technology while solving complex business problems in a collaborative environment.

You'll be responsible for developing innovative AIML solutions, from conception to deployment, while maintaining close partnerships with business teams and infrastructure partners. The position requires expertise in AIML modeling, Python, and MLOps, with a focus on GenAI applications and techniques like RAG and Prompt Engineering.

Apple offers a competitive compensation package, including a base salary range of $175,800-$264,200, plus opportunities for stock awards, bonuses, and comprehensive benefits. The company's commitment to innovation, coupled with its influential position in the tech industry, makes this an exceptional opportunity for experienced ML engineers looking to make a significant impact.

The ideal candidate will bring 5+ years of industry experience, advanced education in a relevant field, and a proven track record in machine learning engineering. You'll join a dynamic team that values technical excellence, collaborative problem-solving, and continuous learning in an environment where great ideas quickly transform into impactful solutions.

Last updated a day ago

Responsibilities For Machine Learning Engineer

  • Engage with business teams to identify opportunities and translate needs into AIML solutions
  • Design, build, and deploy state of the art AIML models
  • Monitor key performance metrics and drive improvements
  • Collaborate with engineers and infrastructure partners
  • Communicate results and insights to partners and senior leaders
  • Stay updated with latest trends in AIML, GenAI and data engineering

Requirements For Machine Learning Engineer

Python
  • 5+ years of industry experience
  • MS/PhD in Computer Science, Statistics, Applied Math, or related field
  • Expert in AIML modeling, Python, AIML Infrastructure, model deployment and MLOps
  • Experience in Supply Chain, Operations preferred
  • End to end GenAI application experience
  • Knowledge in RAG, Prompt Engineering, LoRA and GenAI techniques
  • Strong communication and interpersonal skills

Benefits For Machine Learning Engineer

Medical Insurance
Dental Insurance
401k
Equity
Education Budget
Relocation Benefits
  • Comprehensive medical and dental coverage
  • Retirement benefits
  • Employee stock programs
  • Education reimbursement
  • Discretionary bonuses
  • Relocation assistance
  • Employee discount on products
  • Free services

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