Senior Machine Learning Engineer (TinyML)

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.