Job description

You will be responsible for developing advanced sensing algorithms for future Apple products. This will involve algorithm prototyping, algorithm performance bounding and validation, and assessing sensor hardware and performance requirements. You will be designing new sensing algorithm architectures using a variety of techniques such as analytical modeling, ML methods, statistical signals processing, and classical algorithms/optimization methods to characterize and validate system performance. Development and negotiation of cross-functional requirements to ensure subsystem performance will be a key part of the role, and as such you will collaborate closely with Electrical Engineering and Firmware teams to create state-of-the-art sensor solutions. BS and a minimum of 10 years relevant industry experience Strong background in image/signal processing, estimation/inference, or machine learning Strong engineering math background (e.g. applied linear algebra, probability) Strong programming skills in high level languages like Python/Matlab MS or PhD in Electrical Engineering, Applied Math or Physics Multi-disciplinary understanding of EE and Physics principles Experience with analyzing large datasets and developing data processing pipelines Experience with training/validation for statistical inference or ML/DL algs Experience with algorithm optimization for HW constraints (e.g. compute, memory, power) Experience with establishing quantitative algorithm performance benchmarks Experience with ML frameworks and data processing packages (eg PyTorch, SciPy, pandas, jax) Experience in modeling complex cross-disciplinary systems Experience in system-level design of imaging or sensing systems Excellent written and verbal communication skills

Requirements

Must-haves

BS and a minimum of 10 years relevant industry experience
Strong background in image/signal processing, estimation/inference, or machine learning
Strong engineering math background (e.g. applied linear algebra, probability)
Strong programming skills in high level languages like Python/Matlab
MS or PhD in Electrical Engineering, Applied Math or Physics
Multi-disciplinary understanding of EE and Physics principles
Experience with analyzing large datasets and developing data processing pipelines
Experience with training/validation for statistical inference or ML/DL algs
Experience with algorithm optimization for HW constraints (e.g. compute, memory, power)
Experience with establishing quantitative algorithm performance benchmarks
Experience with ML frameworks and data processing packages (eg PyTorch, SciPy, pandas, jax)
Experience in modeling complex cross-disciplinary systems
Experience in system-level design of imaging or sensing systems
Excellent written and verbal communication skills

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

mlmachine learningpython

Platform: apple
Effort: medium