Innatera's Algorithms team delivers innovative, advanced AI algorithms and methodologies which are central to the neuromorphic technology in our processors.
The team is looking for a Senior Embedded Machine Learning Engineer. The ideal candidate has a strong record of ML development and deployment in a commercial, applied context.
Collaborating with a highly interdisciplinary team to deliver end-to-end (software and hardware) application-use cases
Developing, deploying and maintaining ML pipelines
Championing good development practices for robust, reproducible ML/Data Science tools and pipelines
Analyzing, profiling and benchmarking of ML models and pipelines
Pipeline and model optimization for e.g. latency, memory, power
Providing insights based on explainable AI practices
Leading the development of ML algorithms for application-use cases, their implementation in our software and on our hardware
Extending Innatera's ML toolbox with new methodologies
Identifying requirements and specifications for challenging customer use-cases
Providing hardware development teams with insights on algorithm-requirements
Contributing to the creation of IP (patents, knowhow)
A BSc or MSc in a subject related to ML/Data Science/Statistics or relevant industry experience
Previous experience of developing Embedded / TinyML AI Application
At least 5+ years of hands on experience - delivering AI Solutions
Experience with time series data/sensor data
Familiarity with hardware AI accelerators architectures
Problem-solving, goal-oriented attitude
Python / numpy
Scikit-learn
TensorFlow/PyTorch or an alternative framework
Python data visualisation
C/C++
A dynamic working environment around a fearless engineering culture,
Ambitious teams with the freedom to innovate,
A Flexible working environment (work-from-home policy, flexible working hours, advantageous holidays scheme ..),
An inclusive company culture which embraces communication, diversity and support around holistic and personal development.