Machine Learning Systems Engineer — Sensor Algorithms

Machine Learning Systems Engineer — Sensor Algorithms Machine Learning Systems Engineer — Sensor Algorithms

Location: Santa Clara, CA
Focus: Multi-modal sensor fusion, signal processing, ML algorithms

Talent Lab is working with a leading semiconductor and edge-computing technology company on an opportunity for a Machine Learning Systems Engineer focused on advanced sensor algorithms.

This is an R&D-oriented role developing algorithms for single and multi-sensor systems used in smartphones, wearables, IoT and other consumer devices. The work sits at the intersection of sensor fusion, signal processing, estimation and machine learning
, with responsibility spanning algorithm design, evaluation and eventual deployment onto embedded platforms.

This is not a traditional ML software engineering or model deployment position. We're particularly interested in engineers with strong research foundations in sensor algorithms, signal processing and statistical methods.

What you'll work on

• Develop algorithms for single and multi-sensor fusion using ML/AI and statistical techniques.
• Prototype and evaluate algorithms using Python and MATLAB.
• Work with inertial sensors and IMU data, including accelerometers and gyroscopes.
• Design strategies for data collection, analysis, validation and benchmarking.
• Evaluate trade-offs between algorithm performance, computational complexity and power consumption.
• Translate algorithm designs toward embedded implementation in C/C++.
• Collaborate with systems, software, integration and test engineers throughout the product lifecycle.

What we're looking for

• PhD or Master's degree in Electrical Engineering, Computer Engineering or a closely related discipline.
• Strong background in signal processing, probability, statistics and estimation.
• Experience with sensor fusion and/or inertial sensing.
• Understanding of supervised and unsupervised learning, feature extraction, classification and regression.
• Strong Python and/or MATLAB skills.
• Hands-on algorithm development, experimentation and debugging experience.
• Research or publications in sensor fusion, signal processing, estimation or related areas are highly valued.