Senior Machine Learning Engineer (Sensor Intelligence)

Who you are

You have 5+ years of experience in machine learning and data science, with a strong focus on developing and deploying machine learning models in production environments. Your expertise in Python and frameworks like TensorFlow and Keras allows you to build robust algorithms that can handle complex data challenges. You understand the intricacies of working with sensor data and have experience in signal processing, which is crucial for extracting meaningful insights. Your familiarity with cloud platforms, particularly AWS, enables you to deploy scalable solutions effectively. You are detail-oriented and have a strong understanding of regulatory requirements in health technology, ensuring that your work meets necessary compliance standards. You thrive in collaborative environments, working closely with cross-functional teams to drive innovation and improve user experiences. You are passionate about wearable technology and its potential to enhance human performance and healthspan.

Desirable

Experience with Docker and containerization technologies is a plus, as it helps streamline the deployment process. Familiarity with edge computing concepts will also be beneficial, given the constraints of deploying algorithms on wearable devices. A background in health technology or experience with physiological data will set you apart, as you will be contributing to member-facing health features that require a nuanced understanding of user needs and regulatory considerations.

What you'll do

As a Senior Machine Learning Engineer at WHOOP, you will play a pivotal role in the Sensor Intelligence Group, where you will develop and scale machine learning systems that power WHOOP’s health features. You will tackle the challenge of processing noisy sensor data to extract reliable insights, ensuring that the algorithms you create are both effective and efficient. Your work will involve collaborating with teams across WHOOP Labs, Firmware, and Data Science to integrate machine learning solutions into existing products. You will be responsible for designing experiments to validate your models and iterating on them based on user feedback and performance metrics. Additionally, you will ensure that the algorithms you deploy are production-ready and compliant with health regulations, balancing innovation with safety and reliability. You will also mentor junior engineers, sharing your knowledge and expertise to foster a culture of learning and growth within the team.

What we offer

At WHOOP, we are committed to unlocking human performance and enhancing healthspan through innovative technology. You will be part of a mission-driven company that values collaboration, creativity, and impact. We offer competitive compensation and benefits, including health insurance, retirement plans, and opportunities for professional development. You will work in a dynamic environment where your contributions directly influence the lives of millions of members. Join us in pushing the boundaries of wearable technology and making a positive impact on people's lives.