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
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 contex
t.
We will trust you wi
- th:Collaborating with a highly interdisciplinary team to deliver end-to-end (software and hardware) application-use ca
- sesDeveloping, deploying and maintaining ML pipeli
- nesChampioning good development practices for robust, reproducible ML/Data Science tools and pipeli
- nesAnalyzing, profiling and benchmarking of ML models and pipeli
- nesPipeline and model optimization for e.g. latency, memory, po
- werProviding insights based on explainable AI practi
- cesLeading the development of ML algorithms for application-use cases, their implementation in our software and on our hardw
- areExtending Innatera's ML toolbox with new methodolog
- iesIdentifying requirements and specifications for challenging customer use-ca
- sesProviding hardware development teams with insights on algorithm-requireme
- ntsContributing to the creation of IP (patents, knowh
ow)
Your experience inclu
- des:A BSc or MSc in a subject related to ML/Data Science/Statistics or relevant industry experi
- encePrevious experience of developing Embedded / TinyML AI Applica
- tionAt least 5+ years of hands on experience - delivering AI Solut
- ionsExperience with time series data/sensor
- dataFamiliarity with hardware AI accelerators architect
- uresProblem-solving, goal-oriented atti
- tudePython / n
- umpyScikit-l
- earnTensorFlow/PyTorch or an alternative frame
- workPython data visualisa
- tionC
/C++
We offer
- you:A dynamic working environment around a fearless engineering cul
- ture,Ambitious teams with the freedom to inno
- vate,A Flexible working environment (work from home policy, flexible working hours, advantageous holidays sche
- me..)An inclusive company culture which embraces communication, diversity and support around holistic and personal develop
ment.