Machine Learning Engineer (REMOTE)

PekelabsPortland, OR, United States

6 days ago

Job type

Full-time

Remote

Job description

Peke Labs Corp Machine Learning Engineer Remote

Full time Apply for Machine Learning Engineer

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.

Description

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.

What We’re Looking For :

Experience in developing machine learning models, with a focus on real-time data processing.

Solid programming skills in Python, C++, or similar languages commonly used in machine learning environments.

Proficiency with ML libraries (TensorFlow, PyTorch, etc.) and data manipulation tools (Pandas, NumPy, etc.).

Experience with sensor data and working with raw data inputs from wearables or similar devices.

Comfortable working in a self-directed environment with little supervision—your ability to prioritize and execute will set you apart.

A bias towards doing : You’re someone who gets things done, doesn’t wait for perfect conditions, and takes action to solve problems.

A growth mindset , excited to take on new challenges and innovate in a fast-moving environment.

Excellent communication skills and a collaborative attitude, even when tackling complex technical problems.

Nice-to-Haves :

Experience with biomechanics, kinesiology, or motion analysis .

Familiarity with real-time systems and edge computing .

Knowledge of motion capture technologies , wearable sensors , or gesture recognition .

Familiarity with cloud platforms and deploying ML models at scale.

Why Join Us?

Work at the intersection of biomechanics , AI , and wearable technology —help us shape the future of human-machine interaction.

Be part of a nimble, collaborative team where every member’s voice is heard, and every contribution matters.

Opportunities for professional growth and learning in an innovative, fast-paced environment .

Competitive compensation and equity options in a company and cofounders who prioritize communication and seeing the world outside the box.

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Machine Learning Engineer • Portland, OR, United States

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