At a Glance
- Tasks: Develop machine learning models for wearable health devices and create innovative algorithms.
- Company: Early-stage tech company in Cambridge with a strong growth trajectory.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional development.
- Other info: Join a dynamic team and take ownership of your projects.
- Why this job: Make a real impact on health technology while collaborating with talented teams.
- Qualifications: Experience in machine learning and a passion for health technology.
IC Resources is looking for an On-Device ML Engineer in Cambridge to develop machine learning models for wearable devices. The role involves creating algorithms that extract reliable health signals while optimizing performance under tight constraints. You will collaborate closely with hardware and firmware teams, tackling complex problems in health technology and having significant ownership of the algorithm development process. This is an excellent opportunity to be part of an early-stage company with a strong growth trajectory.
On-Device ML Engineer for Wearable Health Signals in Cambridge employer: IC Resources
IC Resources is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the rapidly evolving field of health technology. Located in the vibrant city of Cambridge, employees benefit from a supportive environment that prioritises professional growth and development, alongside the opportunity to make a meaningful impact on wearable health technology. With a strong focus on employee well-being and a commitment to cutting-edge projects, IC Resources stands out as a rewarding place to advance your career.
