Remote Neurotech ML Scientist — Sleep Data Innovator

NeuroTech X; Remote; CAD 100,000 - 130,000; Full time

Job summary

A leading neurotechnology startup is seeking an Applied Scientist for its innovative team. The successful candidate will focus on machine learning algorithms to process biomedical signals, ultimately contributing to the development of a groundbreaking sleep mask. This position offers a salary range of $100k - $130k CAD, a four-day workweek, and an opportunity to make a significant impact within a rapidly growing company. Candidates should have a strong background in digital signal processing, machine learning, and scientific validation.

Benefits

Base Salary: $100k – $130k CAD

4 Weeks Vacation

Share Options

4-Day Work Week

Global team-building events

Remote Working

Qualifications

• At least 5 years of experience in Machine Learning and Digital Signal Processing.
• Experience with time-series biomedical data such as fNIRS, EEG, or PPG.
• Demonstrated ability to deploy models to production environments.

Responsibilities

• Develop data processing algorithms for biomedical signal analysis.
• Construct robust sleep staging models for consumer wearables.
• Collaborate with teams to optimize algorithms for real-time usage.
• Validate technology through rigorous testing and documentation.

Skills

Machine Learning

Digital Signal Processing

Biomedical Signal Processing

Statistical Analysis

Time-Series Analysis

Education

Degree in Biomedical Engineering, Computational Neuroscience, Computer Science, Electrical Engineering, or a related quantitative field

Tools

NumPy

SciPy

Pandas

Scikit-learn

PyTorch

TensorFlow

Job description

A leading neurotechnology startup is seeking an Applied Scientist for its innovative team. The successful candidate will focus on machine learning algorithms to process biomedical signals, ultimately contributing to the development of a groundbreaking sleep mask. This position offers a salary range of $100k - $130k CAD, a four-day workweek, and an opportunity to make a significant impact within a rapidly growing company. Candidates should have a strong background in digital signal processing, machine learning, and scientific validation.