Senior Machine Learning Engineer - SIML, ISE
Apple
Summary
Description
Minimum Qualifications
Key Qualifications
- Proven track record in a Machine Learning Engineering or Applied Scientist role, preferably in a technology company.
- Familiarity with a broad range of Machine Learning techniques and relevant statistical packages to engineer ML solutions end-to-end.
- Experience in contributing to production codes; ability to rapidly prototype algorithmic ideas in notebook environments and translate them into production code.
- Proficient in state-of-the-art ML techniques, particularly in the field of Generative AI and Large Language Models (Transformer architecture, diffusion models, CLIP and various visual and text embedding models, GPT and BERT style language models).
- Strong proficiency with Python (Scikit learn, Jupyter), PyTorch, SQL-based languages. Working proficiency with Git.
- Proven experience in data science and analytics, including statistical data analysis. Experience crafting, conducting, analyzing, and interpreting experiments and deep-dive investigations.
- Outstanding communication and presentation skills with the ability to explain difficult technical topics to everyone from data scientists, engineers, and business partners.
Preferred Qualifications
Education & Experience
Additional Requirements
- - Strong analytical product intuition: able to understand the user experience and use data to guide the development of products.
- - Experience in synthetic data generation for videos, images, text and audio is desired.
- - Ability to understand a technically complex product, and work with engineering leads and data engineers.
- - Ability to build relationships across multiple functions and establish strong partnerships.
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.