Finding the best job has never been easier
Apple Mixed-Signal IP Machine Learning Engineer United States, California, San Diego 115074618
04.05.2024
Share
Key Qualifications
- Proven track record of successfully delivering machine learning projects or applications.
- Strong understanding of a wide range of machine learning algorithms, including logistic regression, deep neural networks, and reinforcement learning.
- Solid math background with knowledge of algorithms and data structures.
- Excellent programming skills in Python; familiarity with C is a plus.
- Understanding of VLSI fundamentals is a plus.
- Knowledge of signal processing is a plus.
- Strong communication and collaboration skills, with the ability to work efficiently in cross-functional teams
Description
As a member of the mixed-signal design team, you will be part of a dynamic team that is building the most efficient silicons on the planet, powering the next generation of Apple products. Your responsibilities will include:• Develop machine learning models and systems to optimize the Power, Performance, Area, and Robustness (PPAR) of mixed-signal IPs.• Explore and evaluate various machine learning algorithms to identify the most suitable approaches for specific problems.• Collaborate closely with firmware, system architecture, and validation teams in a highly engaging and rewarding environment.• Stay up-to-date with the latest advancements in machine learning and related fields to continually improve our methodologies.
Education & Experience
BS in Electrical Engineering and 3+ years experience preferred
Pay & Benefits
- At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $131,500.00 and $243,300.00, and your base pay will depend on your skills, qualifications, experience, and location.Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
These jobs might be a good fit
