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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.
Canada · Full time
We are looking to add an Applied Scientist – Neurotech & ML to join the Dream Team! Reporting to the Director of R&D, you will be responsible for leading the implementation of machine learning within our data analysis pipelines, bridging the gap between raw neurological signals and life-changing user insights.
If you are looking for your breakthrough, career-defining role, look no further. This is your opportunity to solve complex biological puzzles that will be 10x anything you’ve done before. Half of the modern world has problems sleeping and we’re one of the only startups in a position to help, which means we have huge upside potential. We’re looking for someone that will embrace the difficult journey of building from the ground up using first principles. This role is for you if you love diving deep into complex time-series data to unlock hidden patterns, building robust ML models to classify brain states, and turning abstract statistics into actionable user insights. You will truly be able to put your name on something that is admired around the world, all while helping people live happier, healthier lives.
Join us as an Applied Scientist – Neurotech & ML and embark on a heroic mission to revolutionize sleep with the Bía Smart Sleep Mask. Your mission will be to create algorithms and machine learning models that translate the complex language of the brain into simple, real-time sleep solutions that outperform clinical gold standards.
At Bía, we’re on a mission to provide a full night’s sleep in half the time. Our first product, the Bía Smart Sleep Mask, is designed to measure, control, and improve your sleep every second throughout the night using advanced neurotechnology.
We’re an early-stage startup picking up speed fast. This is your opportunity to get in on the ground floor with the world’s next big tech.
We live these Values consistently through routines and policies
We are a purpose-driven team, passionate about improving the quality of life for every single person on the planet.
During your remote, 4-day workweek, we will give you everything you need to be 100% successful. You will never contribute more to a mission than here. To finish the week, you get a full extra day off to recoup, relax, and live life your way.
We also regularly meet up throughout the year for all-expenses paid, global team-building get-togethers. You will travel the globe on our dime.
Everyone on the team is proactive and hungry to build something meaningful. We hire people that need to be slowed down and encouraged to take vacation, rather than people who always need encouragement to speed up.
We manage by giving you deeply specific objectives, 100% clarity on your role, weekly recognition, and altruistic punishment. Rewarding great work means punishing mediocre work. If you aren’t passionate about your work, this won’t be the right fit.
However, if you are tired of carrying more than your share, tired of your work going unrecognized, and instead dream of working at a fast-paced, high-impact work environment, then working at Bía will be refreshing.
This is our offer. We give a lot, we expect a lot. That’s the deal.
Submit your application through our website
Please click here to apply
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.