Apple · Seattle

Machine Learning Engineer, Applied Machine Learning

(w/m/d) · 7.1.2025

Description

The ML Engineer will work on solving real world business problems through machine learning and computer vision. You will work to devise models and ml approaches to solve these problems and achieve business KPIs, you will work with large-scale data sets with intensive hand-on code development. In addition, the role requires close partnering with business teams in articulating the research methodologies and results. The role also requires collaboration with engineering teams in integrating and deploying ML models to deliver amazing user experiences. Are you deeply accountable for your work? Your passion for product ownership and track record of product development will prove critical to your success on our team. We are in need of a creative thinker with deep expertise in machine learning, algorithms, and optimization. You will work with amazing colleagues, brainstorm new ideas, and develop models and algorithms to solve ambitious problems that have a substantial impact.

Qualifications

  • Bachelors Science, Computer Science, engineering or similar quantitative field with a focus on machine learning.
  • 3+ years of industry experience implementing end-to-end data science and machine learning projects. Familiarity with SW development and release cycles.
  • 2+ years of experience in one or more of the following ML areas: Computer Vision, NLP, gen AI, AR/VR, Document Intelligence
  • 2+ years of experience in algorithm design, modeling, or quantitative analysis
  • Experience with deep learning framework such as Pytorch, TensorFlow and Keras
  • Experience with optimization, approximation algorithms, distributed algorithm design, and hands-on implementation of these techniques.

Preferred Qualifications

  • MS or Ph.D., Computer Science, engineering or similar quantitative field with a focus on machine learning is strongly preferred.

Benefits

Application

View listing at origin and apply!