Job description

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. Recent PhD graduates with relevant research experience are strongly encouraged to apply How to Apply? All qualified and interested applicants can apply directly to Gord Marriage by sending an email with attached resume to gord.marriage@talentlab.com. You may also apply directly on our website at www.talentlab.com. Although we thank all applicants for their interest, only those in consideration will be contacted.

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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 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.
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
How to Apply?

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Keywords to mirror

machine learningmlaipython

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