Embedded ML Engineer

Innatera(1 month ago)

HybridFull TimeSenior$146,051 - $196,449 (estimated)Engineering

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.

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Required Skills

Embedded ML Development
Machine Learning Algorithms
PyTorch
NumPy
C Programming
Python
Benchmarking
Model Optimization
Explainable AI
Research Methodologies

+18 more

Qualifications

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

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.