Principal, Algorithm Engineer, Advanced Product Ventures

ssification, and other areas of machine intelligence.

• Experience with embedded sensor systems and microcontrollers, and deploying algorithms as real-time firmware in C.

• Experience with MATLAB and Python and machine learning frameworks.

• Experience with high-level "non-classical" control algorithms & techniques (MPC, LQR, Kalman filtering, etc.)

• Technical leadership around efficient implementation of sensor primitive algorithms.

• Technical leadership around architecture and implementation of descriptive, predictive, and prescriptive models of athlete performance.

• Technical project management and planning, including creation of requirements, constraints, timelines, and methods to manage risk.

• Experience with human subject testing, data collection, real-time performance tracking.

• Expertise in mechanics, biomechanics, human locomotion, kinematics and dynamics a plus.

• Expertise in electromechanical control: sensors, filtering, and motor control a plus.

• Positive energy, curiosity, and a passion for building magical products that users love.

• Strong technical savvy and understanding/curiosity about emerging innovative technologies.

• Ability to work in a fast-paced environment where continuous learning is core to our identity.

• Willingness to roll up your sleeves to win as a team.

WHAT YOU WILL WORK ON
As a Principal Algorithms Engineer, you will play a critical role in driving the execution of our powered athlete product roadmap. You will be responsible for the algorithm behavior of powered athlete products and services.

IN THIS ROLE YOU WILL

• Develop and implement/program firmware and software algorithms for sensor primitives that underlie powered athlete products and services.

• Advance algorithmic methodologies that enable capture of rich athlete data on resource-constrained embedded devices.

• Develop descriptive, predictive, and prescriptive models that link data from powered athlete products to athlete endpoints such as performance, fatigue, and injury.

• Deliver real-time firmware algorithms that compute sensor primitives for powered athlete products and experiences.

• Deliver embedded machine learning models capable of learning at the edge.

• Deliver descriptive and predictive models that link data from powered athlete products to athlete performance, fatigue, and injury.

• Establish and manage accurate tracking of critical metrics and translate feedback into enhancement recommendations.

We offer a number of accommodations to complete our interview process including screen readers, sign language interpreters, accessible and single location for in-person interviews, closed captioning, and other reasonable modifications as needed. If you discover, as you navigate our application process, that you need assistance or an accommodation due to a disability, please complete the Candidate Accommodation Request Form.