Principal, Algorithm Engineer, Advanced Product Ventures

About the position

We are looking for a Principal Algorithms Engineer to join a newly formed team developing innovative, powered athlete products. This role will collaborate with engineers, designers, and researchers to ensure that algorithms serve the athlete, and provide technical leadership of a team of algorithms, controls, and firmware engineers to support magical product experiences.

Responsibilities

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

Requirements

• Bachelor's Degree or equivalent combination of relevant education, experience, or training.
• MS in engineering or computer science with 10+ years of experience; PhD with 7+ years of experience.
• Proven experience in signal processing, pattern recognition, machine learning, classification, 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.

Nice-to-haves

• Expertise in mechanics, biomechanics, human locomotion, kinematics and dynamics.
• Expertise in electromechanical control: sensors, filtering, and motor control.

Benefits

• Accommodations for interview process including screen readers, sign language interpreters, accessible and single location for in-person interviews, closed captioning, and other reasonable modifications as needed.