Sensor Fusion ML Engineer — Embedded Algorithms

Talentlab; Santa Clara (CA); On-site; USD 130,000 - 190,000; Full time

Job summary

TalentLab is seeking a Machine Learning Systems Engineer focused on advanced sensor algorithms. This R&D role develops algorithms for single and multi-sensor systems used in smartphones, wearables, IoT and other devices, sitting at the intersection of sensor fusion, signal processing and ML.

You will prototype in Python/MATLAB, translate designs toward embedded C/C++, and collaborate across systems, software and test teams throughout the product lifecycle.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Sensor fusion

Signal processing

Probability

Statistics

Estimation

Python

MATLAB

C/C++

Data collection & benchmarking

Education

PhD or Master's in Electrical Engineering or Computer Engineering

Tools

Python

MATLAB

C/C++

Job description

TalentLab is seeking a Machine Learning Systems Engineer focused on advanced sensor algorithms. This R&D role develops algorithms for single and multi-sensor systems used in smartphones, wearables, IoT and other devices, sitting at the intersection of sensor fusion, signal processing and ML.

You will prototype in Python/MATLAB, translate designs toward embedded C/C++, and collaborate across systems, software and test teams throughout the product lifecycle.