620,000 perinatal deaths, deaths of fetuses between 22 weeks and newborns that are within 7 days of birth, occur annually, with 98% of deaths being in developing countries.
CTGs (cardiotocogram) are a medical device that observes the wellbeing of a fetus based on its heartbeat and mother’s uterine contractions. While they are commonly used in developed countries, a shortage of medical professionals in Africa means that even in hospitals where CTG has been introduced, there’s not enough people to properly monitor the devices.
Spiker is developing an AI engine for these CTGs that will replace the labor-intensive part of fetus monitoring, freeing medical professionals to spend time on high-priority tasks.
See our company introduction (Japanese) for more details about us.
Connecting Africa and Japan
Before starting Spiker, our co-founder, Ayako Kasai, spent more than ten years of experience working in East Africa, including founding East Africa’s first Japanese consulting firm. By launching the product first in Africa, we’ll not only be able to help in one of the places where it is most needed, but also be able to collect data in a place with an incredibly high birth rate, which we will later be able to apply to other parts of the world.
A small team with a big mission
We have a total of 6 people working on the business, including the founders and engineers. We are working closely with R&D partners and advisors with academic backgrounds. Also, several hospitals in Japan and Africa have agreed to partner with us in the development process. You will collaborate closely with not only our engineers but also external partners and advisors.
Flexible hours and location
We’re working fully remotely, and so there’s no need to go to an office. We welcome anyone from around the world to join us, as long as your timezone is within 7 hours of Japan. Apart from this provision for having some overlap in working time with our members in Japan, you’re free to set your own schedule.
About the position
We are looking for an AI engineer to lead the development of our machine learning models for fetal monitoring. You’ll be joining a group of engineers with backgrounds in software, infrastructure, and sensors.
This is a great opportunity to join a growing company and to be involved in the development of advanced AI systems from the beginning. Being able to leverage a vast amount of biological data is one of the most exciting aspects of this role. You will build machine learning models, from exploring data, to designing, training, testing, deploying, and monitoring.
As our team expands, you’ll also mentor and manage more junior engineers.
- Experience developing and implementing machine learning in a professional setting.
- Experience in mentoring other engineers.
Nice to haves
These aren’t required, but be sure to mention them in your application if you have them.
- Experience in development/deployment of end-to-end machine learning infrastructure
- Experience in design and development of large-scale data processing
- Experience in database development using IoT sensors
- Experience in developing medical products
We’re open to hiring someone in both a part-time (at least 3 days per week) or full time capacity. Our budget for hiring an experienced full-time tech lead is approximately ¥800,000 per month.