Machine Learning Engineer, Apple Services GenAI & ML Frameworks
Apple
Full-time
On-site
New York City, New York, United States
Machine Learning
Are you passionate about building extraordinary products and embracing state of art techniques? It's central to all that we do! The goal of the Apple Services GenAI & ML Frameworks team is to take personalization, search, and more to the next level of intelligence and accuracy using advanced ML and statistical techniques.
Description
We work on a wide spectrum of approaches, including foundation modeling, deep learning, model compression, transfer learning, federated learning and more. We work on core machine learning algorithms and models to power personalization in an efficient and scalable manner. We also work on algorithmic approaches to conserve resources when delivering these models to our customers' devices. This position involves a wide variety of skills and innovation. This is a rare opportunity that sits at the state of the art of machine learning and software!
Minimum Qualifications
- BS/MS in a quantitative field, including Computer Science, Electrical Engineering, Maths, Statistics, Physics, etc.
- Proficient programming skills in Python, C++ or Go
- Hands-on experience working with deep learning toolkits such as Jax, Tensorflow or PyTorch
- Hands-on experience on MLOps and familiar with systems such as kubeflow and airflow
- Background in generative models, natural language processing, LLMs, or diffusion models
- Understanding product requirements then translating them into modeling tasks and engineering tasks
Key Qualifications
Preferred Qualifications
- Proven track record of contributing to diverse teams in a collaborative environment
Education & Experience
Additional Requirements
Pay & Benefits
Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.