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# Machine Learning Systems Engineer - Sensor Algorithms

- **Company:** Talentlab, Inc.
- **Location:** Santa Clara, CA, United States
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Algorithm Design, Systems Engineering, C++ (Programming Language), Computer Engineering, Software Debugging, Python (Programming Language), MATLAB, Machine Learning, Sensor Fusion, Signal Processing, Software Engineering, Machine Learning Operations, Feature Extraction, Unsupervised Learning
- **Published:** November 3, 2026
- **Apply:** https://www.careerbuilder.com/job-details/machine-learning-systems-engineer-sensor-algorithms-santa-clara-ca--eda97f50-c4a1-424b-ad2d-78e48cf2106d

## About the Role

* 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.

Recent PhD graduates with relevant research experience are strongly encouraged to apply

## Description

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.