Machine Learning Scientist/Engineer, Applied Machine Learning
Seattle, Washington, United States
Corporate Functions
Do you want to work on building groundbreaking ML technologies and make real world impact? At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. The Applied Machine Learning Data Science team in is a group of innovative ML scientists from diverse disciplines with extensive track records in both academia and industry. ML Scientists of the team work on many high-impact projects, building state of the art machine learning models that serve various Apple lines of business and enrich end user experiences. We have the opportunity to do groundbreaking applied machine learning work that will shape the industry. As ML Scientists, we develop cutting-edge machine learning algorithms to enable current and future products and services in various enterprise scenarios!
Key Qualifications
- Hands on experience in one or more of the following ML areas: Computer Vision, NLP, GenAi, AR/VR, Document Intelligence
- Hands on experience in algorithm design, modeling, or quantitative analysis
- Hands on experience in industry experience implementing end-to-end machine learning projects.
- Python is preferred
- Experience with deep learning framework such as Pytorch, TensorFlow and Keras
- Experience with optimization, approximation algorithms, deep learning, and hands-on implementation of these techniques.
Description
The ML Scientist 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.
Education & Experience
An Advance Degree in computer science, engineering or similar quantitative field with a focus on machine learning. Ph.D. with 1+ year of experience or Masters with 3+ years or Bachelors with 7+ years.