Sensing ML Algorithm Engineer - HID at Apple

Cupertino, California, United States -

Full Time

Start Date

Immediate

Expiry Date

25 May, 26

Salary

0.0

Posted On

24 Feb, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Signal Processing, Machine Learning, C++, C, Estimation Algorithms, Human Factors, User Interface Design, Graphics Programming, Python, Matlab, Linear Algebra, Statistics, Adaptive Filters, Data Analysis, Cloud Processing

Industry

Computers and Electronics Manufacturing

Description

Join the engineering team creating next-generation touch interfaces for iPad, Pencil, iPhone, Watch and more. We are an eclectic group with backgrounds in signal processing, machine learning, computer science, estimation algorithms, human factors, and more, dedicated to inventing new ways of interacting with Apple products and shipping amazing products every year. We are looking for a signal processing and machine learning engineer with C/C++ implementation skill. Your good communication skills, and ability to drive discussions with cross-functional teams would come in very handy. Have you gained any experience with user interface design or graphics programming skills as well? That’s great! It will further help broaden your role and effectiveness in this position. To summarize, you will be working on innovative projects and will be responsible for productizing algorithmic solutions, and you will be part of the team shipping products to millions of users every year. DESCRIPTION This is a key position at a focal point for HW/SW/UI integration. Starting from early in the product lifecycle, this engineer will analyze HW issues for user impact and potential mitigations, modify and tune current algorithms for new form factors, design and implement new user facing features, as well as provide critical support during production phase. MINIMUM QUALIFICATIONS BS and a minimum of 10 years relevant industry experience. Mathematical, scripting and modeling languages such as Python/Matlab. Solid understanding of topics like signal processing, linear algebra, statistics, adaptive filters etc. Machine learning models and frameworks Strong C/C++ coding skill User studies and data analysis PREFERRED QUALIFICATIONS MS in CS/CE/EECS/Math; PhD is preferred. Investigating new technologies, prototyping concepts, evaluating user impact, and delivering products. Data collection and analysis. Handle large data processing on cloud.

Responsibilities

This engineer will be responsible for productizing algorithmic solutions, analyzing hardware issues for user impact, modifying algorithms for new form factors, and designing new user-facing features from the early product lifecycle through production support.