Redlen Technologies Inc.
The Applied Machine Learning Developer role focuses on developing machine learning, computer vision, and advanced analytical solutions for complex scientific, product-performance, reliability, sensor, and manufacturing data. The position involves collaborating with multidisciplinary teams to translate technical problems into robust analytical solutions that improve defect detection, product characterization, and data-driven decision-making. This role requires strong expertise in Python, machine learning frameworks, and statistical analysis to build scalable and reproducible workflows.
Redlen Technologies designs and manufactures high-performance semiconductor radiation detectors and imaging modules based on cadmium zinc telluride (CZT) and related detector technologies. Their product lineup includes photon-counting and spectroscopic X‑ray/gamma detectors, detector modules, ASICs, development kits and turnkey imaging/OEM integration solutions. Redlen’s detectors operate at room temperature and are used across medical imaging (including spectral CT and nuclear medicine), security screening, industrial inspection and scientific instrumentation where high energy resolution and compact, scalable detector arrays are required. They combine custom engineering, production-scale manufacturing, and support for integration into clinical and industrial systems.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Redlen Technologies Inc..
Applied AI/ML Engineer
Bosch Group
Data Scientist / Machine Learning Engineer
Public Trust
Staff Machine Learning Engineer, Time Series & Statistical Methods - UK
Nominal
Stage en machine learning et explainable AI
Veolia Environnement SA
Computer Vision/Machine Learning Intern
KLA
Process Enginee Ai Machine Learning Deep Learning Treviso Ita
Applied Materials