Company Description:

140 million individuals around the world navigate pregnancy each year. For many, this is an uncertain and dangerous process. But what if we could make pregnancy safer, more informed, and more predictable? Flutter Care is on a mission to promote joy and connection throughout the perinatal period and improve health outcomes. We believe every individual deserves the best chance to live a happy, healthy life - from the very start.

We are currently backed by top accelerators including the Canadian Hardware Catalyst Initiative and Techstars Industries of the Future. We have also been recognized by The Globe and Mail, BC Business, Glory Professional, FemTech Analytics and more.

Role Description:

We are seeking an enthusiastic and driven individual to join our team as a Machine Learning Engineer. In this role, you will be responsible for working with data streams from wearable sensors to detect various fetal health data and patterns in real-time. You will play a crucial role in developing algorithms and data processing techniques to extract actionable insights from sensor data and contribute to the advancement of our maternal-fetal health monitoring technologies.

We are a small, energetic company with a shared passion for equitable innovation. As a part of our team, you will experience a high degree of autonomy in your work while working closely with other technical team members. We are looking for someone who can lead their own projects, work collaboratively with others, explore new ideas, and push the boundaries of what our technology can do to protect generations of families. If this sounds like an ideal environment to you, we would love to hear from you!

Responsibilities

Design and implement algorithms for real-time sensor data processing and analysis.
Develop machine learning models for motion detection and pattern recognition.
Optimize algorithms for performance and efficiency in resource-constrained embedded compute platforms.
Evaluate and validate algorithms using real-world sensor data sets.
Apply experimental research to find links in datasets.
Stay current with the latest research and developments in sensor data analysis and machine learning.

Qualifications

Bachelor's degree or higher in Computer Science, Computer/Electrical Engineering, or related field.
Strong background in signal processing, time-series analysis, and statistical modeling.
Proficiency in programming languages such as C/C++, Python, and MATLAB.
Familiarity with machine learning techniques for classification, clustering, and anomaly detection.
Experience in developing and implementing machine learning algorithms and models.
Excellent problem-solving skills and attention to detail.
Ability to work collaboratively in cross-functional teams.

Bonus Points:

Experience working with data from sensor technologies
Experience with data preprocessing and feature engineering
Knowledge of embedded systems and IoT platforms (e.g., Arduino, ESP32).
Familiarity with cloud computing services (e.g., AWS, Azure) for data storage and processing.

Job Details:

Term: April 2024 - September 2024 (6 months) with possibility of extension
Hours and pay: 30-40 hours per week, $30-33 CAD / hour
Location: This is a hybrid role, based in Vancouver, BC
Deadline: Applications will be reviewed on a rolling basis - you are encouraged to apply early

*Please note that this position is supported by the National Research Council of Canada Youth Employment Strategy program. Therefore eligibility requirements will apply (i.e. under the age of 30, Canadian citizen/PR/refugee etc.) However, if you do not fit this description, you are encouraged to still apply for future openings.

Flutter Care

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