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. Were particularly interested in engineers with strong research foundations in sensor algorithms signal processing and statistical methods.

What youll 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 were looking for

• PhD or Masters 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 You may also apply directly on our website at . Although we thank all applicants for their interest only those in consideration will be contacted.