Senior Signal/Image Processing & Machine Learning Engineer - Sensing Technologies & Real-Time Models
Apple14 hours ago
Haifa, IsraelSenior
Responsibilities
- Design, implement, optimize, and deploy real-time signal processing and machine learning models for sensing, imaging, and video restoration.
- Develop and validate models using real sensor data, simulated data, and public datasets.
- Prepare, filter, process, and analyze large-scale datasets for model training and evaluation.
- Benchmark algorithms against leading methods and theoretical bounds, and perform experimental and failure analysis.
- Optimize models for low-latency, resource-efficient, on-device inference.
- Develop algorithms combining classical signal processing with learned models for robust sensor-data extraction.
- Investigate lightweight backbones, attention mechanisms, and recurrent designs for real-time inference.
- Define evaluation methodologies and metrics for sensing and imaging algorithms.
- Drive trade-offs among accuracy, latency, power, and memory across algorithm, hardware, and system constraints.
- Collaborate with ML researchers and software, hardware, sensor, and architecture engineers to deliver practical shipping systems.
- Provide technical guidance and mentorship to junior engineers and help shape technical direction.
Requirements
- Strong foundation in signal processing, image processing, computer vision, machine learning, and deep learning.
- Hands-on experience with sensing technologies such as camera/image sensors, depth, radar, LiDAR, IMU, or other sensor modalities, including sensor noise models and characteristics.
- Demonstrated experience designing and deploying real-time deep learning and signal processing solutions using large-scale datasets.
- Proficiency in Python and deep learning frameworks such as PyTorch; C++ or another performance-oriented language is a plus.
- Experience with model evaluation, debugging, experimental analysis, and failure analysis.
- PhD or master's degree in Electrical Engineering, Computer Science, or a related research field.
- At least 8 years of relevant experience.
- Experience deploying models on GPUs, dedicated hardware, or neural engines, including quantization, pruning, and other model-compression techniques is preferred.
- Experience with multi-sensor fusion, sensor calibration, or temporal/streaming signal processing is preferred.
- Experience with generative priors such as diffusion or flow matching is preferred.
- Background in signal processing, physics, optics, or lasers is a plus.
- Strong written and verbal communication skills and the ability to work autonomously and collaboratively.
Categories
About Apple
Apple designs and sells consumer electronics, software, and services for consumers and professionals worldwide, including iPhone, Mac, iPad, Apple Watch, and AirPods, plus platforms like iOS/macOS and services such as the App Store, iCloud, Music, and TV+. Its business combines device sales with services and subscriptions and in-house silicon design. Founded in 1976, Apple is headquartered in Cupertino, California, and trades on NASDAQ as AAPL.