Machine Learning Engineer

Overview

We're hiring our first ML Software Engineer to work alongside our cofounder, Thane Hunt, in developing our software stack to help interpret raw data s

About Peke Labs Corp

We're building the next generation of technological controllers using proprietary and patent-protected technology that translates muscle movement into data.

Role

Machine Learning Software Engineer

About Us :

We are a cutting-edge technology company focused on revolutionizing the way we interpret raw tendonal and muscular data into actionable technological outputs. Our goal is to empower industries and individuals with transformative software that bridges the gap between human motion and machine interaction. We’re a fast-paced, innovative team driven by curiosity, purpose, and a passion for creating real-world impact. We are looking for a super nimble, self-directed Machine Learning Software Engineer to join us in building the future of wearable tech and motion analytics.

About the Role :

As an ML Software Engineer, you’ll be responsible for designing and implementing advanced machine learning algorithms to process complex muscular and tendonal data and convert it into outputs. You’ll work at the cutting edge of biomechanics and wearable technology, creating software that empowers our devices to understand and interpret human motion in real time.

What You’ll Do

• Design and implement machine learning models to analyze raw datasets and translate it into actionable technological outputs.
• Collaborate closely with hardware and software engineers to integrate ML solutions into our software stack.
• Continuously optimize and improve the performance of our models, focusing on real-time data processing and reducing latency.
• Develop and test novel algorithms to ensure they meet the evolving needs of our product and industry.
• Take ownership of your projects from concept to deployment, balancing speed and accuracy to ensure timely delivery of working solutions.
• Engage in problem-solving and troubleshooting, keeping the team moving forward despite challenges or roadblocks.
• Contribute to a fast-paced, agile development process where doing is prioritized over perfection.
• Stay up to date on the latest advancements in machine learning, biomechanics, and wearable technology, and continuously innovate.

Qualifications

Nice-to-Haves

Why Join Us

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