Entry level machine learning engineer serp_jobs.h1.location_city

Overview

Placement Type : Temporary

Salary : Negotiable

Start Date : 09.08.2025

Are you ready to innovate the future of athletic performance? Join a newly formed team developing cutting-edge, powered athlete products for a global icon. In this pivotal role, you will be the driving force behind the technology that elevates athletes, blurs the boundaries of what is possible, and creates magical product experiences. This is your opportunity to bring your skills and passion to a constantly evolving game.

Job Summary

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 our powered athlete products and services. You will 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.

Key Responsibilities

In this role you will :

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.

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

Provide technical leadership around efficient implementation of sensor primitive algorithms.

Lead technical project management and planning, including the creation of requirements, constraints, timelines, and methods to manage risk.

Qualifications

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.).

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.

Who You Will Work With

You will work closely with Engineering, Design, Digital, Research, Program Management, and Firmware / Controls teams.

This role requires a positive energy, curiosity, and a passion for building magical products that users love.