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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 logo
Innatera TPE https://www.innatera.com/
11 - 50 Employees
About Innatera
Innatera is a trailblazing developer of ultra-low power intelligence for sensors. Incorporated in 2018 as a spin-off from the Delft University of Technology, it develops a line of neuromorphic processors that mimic the mechanisms the brain uses for sensory perception. Using a radically new continuous-time analog-mixed signal processing architecture, Innatera’s chips allow sensor data to be processed 100x faster and with up to 500x lesser energy than with conventional processors.
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 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++

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.

Apply for this job
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 brain’s 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.

Required profile

Experience

Level of experience: Senior (5-10 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Hard Skills

NumPy (Python Package)Scikit-Learn (Python Package)Data PipelinesData ProfilingPyTorch (Machine Learning Library)Deployment SupportArtificial Intelligence DevelopmentC++ (Programming Language)System OptimizationTensorFlowPython (Programming Language)

Other Skills

  • Problem Solving
  • Communication
  • Leadership
  • Collaboration
  • Goal-Oriented
Are you interested?

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