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Senior Machine Learning Engineer

TalentAlly

Salary not specified
Aug 22, 2025
Portland, OR, US
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The company is looking to innovate the future of athletic performance by developing cutting-edge, powered athlete products. The role is to drive the algorithm behavior of these products and services, ensuring they serve the athlete and provide magical product experiences.

Requirements

  • 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.).
  • Experience with human subject testing, data collection, and real-time performance tracking.
  • Expertise in mechanics, biomechanics, human locomotion, kinematics, and dynamics is a plus.
  • Expertise in electromechanical control (sensors, filtering, and motor control) is a plus.

Responsibilities

  • Develop and implement/program firmware and software algorithms for sensor primitives that underlie our powered athlete products and services.
  • Advance algorithmic methodologies that enable the 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.
  • Provide technical leadership around efficient implementation of sensor primitive algorithms.

Other

  • 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.
  • Establish and manage accurate tracking of critical metrics and translate feedback into enhancement recommendations.
  • Lead technical project management and planning, including the creation of requirements, constraints, timelines, and methods to manage risk.
  • This role requires a positive energy, curiosity, and a passion for building magical products that users love.