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Senior Machine Learning Engineer (TinyML)

Remote:

Full Remote

Contract:

Full time

Experience:

Senior (5-10 years)

Work from:

Netherlands

Offer summary

Qualifications:

BSc/MSc in ML/Data Science/Statistics or relevant industry experience, 5+ years of AI Solutions delivery experience.

Key responsabilities:

Collaborate with interdisciplinary team on end-to-end application use cases
Develop, deploy and maintain ML pipelines for optimal performance
Analyze, profile and benchmark ML models and pipelines
Optimize pipelines and models for latency, memory, power
Extend Innatera's ML toolbox with new methodologies, lead algorithm development

Innatera TPE https://www.innatera.com/

11 - 50 Employees

See more Innatera offers

Job description

Summary

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.

We will trust you with:

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)

Your experience includes:

A BSc or MSc in a subject related to ML/Data Science/Statistics or relevant industry experienceÂ
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 dataÂ
Familiarity with hardware AI accelerators architectures
Problem-solving, goal-oriented attitude
Python / numpyÂ
Scikit-learn
TensorFlow/PyTorch or an alternative framework
Python data visualisation
C/C++

We offer you:

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.

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About us

Innatera is a rapidly-growing Dutch semiconductor company that develops ultra-efficient neuromorphic processors for AI at the edge. These microprocessors mimic the brainâs mechanisms for processing fast data streams from sensors, enabling complex turn-key sensor analytics functionalities, with 10,000x higher performance per watt than competing solutions. Innatera's technology serves as a critical enabler for next-generation use-cases in the IoT, wearable, embedded, and automotive domains.