Machine Learning Engineer

PeKe Labs is a cutting-edge technology company focused on revolutionizing the interpretation of raw tendonal and muscular data. They are seeking a Machine Learning Software Engineer to design and implement advanced machine learning algorithms that process complex data and empower devices to understand human motion in real time.

Responsibilities:

• 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

Requirements:

• 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
• 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