About this opportunity
Talentlab lists this Machine Learning Systems Engineer — Sensor Algorithms opportunity in santa clara, California. Review the employer’s description below for duties, qualifications and application requirements.
Job description
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
TalentLab 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.
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Worksite address
santa clara, CA, 95053, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.