Innatera

Embedded ML Engineer

Innatera

2 months ago
Rijswijk, Netherlands
Hybrid
Full Time
Senior
0 applicants
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Innatera
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About this role

An Embedded ML Engineer at Innatera is responsible for leading the design and implementation of advanced machine learning algorithms tailored for embedded systems, optimizing ML models using PyTorch and NumPy, and ensuring efficient integration with hardware AI accelerators and neuromorphic processors. The role involves analyzing and fine-tuning ML pipelines for performance metrics, collaborating with cross-functional teams, and mentoring junior engineers. The engineer will also contribute to the development of intellectual property and present findings to stakeholders to enhance project outcomes.

Skills

Qualifications

BSc or MSc in a subject related to ML/Data Science/Statistics5+ years of hands-on experience in the development and deployment of AI solutions
Innatera

About Innatera

innatera.com

Innatera is a technology company specializing in ultra-low power neuromorphic processors that enable advanced pattern recognition for sensor applications. Their innovative Spiking Neural Processor mimics brain-like processing mechanisms, allowing for efficient and rapid data interpretation with minimal energy consumption. By leveraging proprietary analog-mixed signal computing architecture, Innatera's solutions provide significant improvements in latency and privacy for various industrial applications. The company is committed to pushing the boundaries of sensing technology, enhancing the capabilities of devices in power-limited environments.

About Innatera

Headquarters

San Francisco, CA

Company Size

201-500 employees

Founded

2018

Industry

Technology

Glassdoor Rating

4.2 / 5

Leadership Team

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

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