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Machine Learning Engineer

Scentian Bio

Scentian Bio

Software Engineering
Posted on Thursday, January 25, 2024

We are growing our team and looking for a machine learning engineer to join one of New Zealand's most exciting new start-ups.
The successful candidate will play a key role in the development of our predictive models and platform from analysing fingerprint response patterns from an array of insect olfactory receptors, right through to the productisation of predictive insights.

About Scentian Bio:

Scentian Bio is a biosensor company that is developing a state-of-the-art bioelectronic nose/tongue technology based on the extraordinary sensitivity of insect smell receptors. This will revolutionise everything from medical diagnostics to food quality, environmental monitoring, and crop management. We have recently secured funding from the Bill & Melinda Gates Foundation to develop a diagnostic tool for the detection of diseases such as Tuberculosis and Malaria.

The Role:

Contribute your insights and expertise to help us take our cutting-edge technology from the lab to the real world and transform our prototype biosensor into a product.
In addition to a competitive salary and benefits package, there will be an opportunity to play a key role in the further development of the business.
The position is based in Auckland, NZ.

Requirements:

University background in Data Science, Computer Science, Software Engineering, Statistics and/or, Mathematics or a related field is essential.

Broad knowledge of AI / machine learning domains, including signal processing and deep learning.

Experience and proficiency with Python and data science libraries (Spark, MLFlow, Pandas, PyTorch/Tensorflow or similar frameworks).

Experience working in a cloud-based data platform (AWS/Azure/GCP).

Demonstrated ability in git, DevOps and MLOps.
Rigorous scientific aptitude, enthusiasm for learning, and a desire to solve complex problems independently and in a collaborative environment.

How to apply:
Please send a covering letter and curriculum vitae to [email protected]

Closing date is Monday October 2nd 2023