[Remote] Machine Learning Engineer

Note: The job is a remote job and is open to candidates in USA. Peke Labs Corp is developing technology that translates muscular and tendonal data into actionable outputs. The Machine Learning Software Engineer designs and implements machine learning algorithms for interpreting this data, integrating solutions into the software stack, and optimizing real-time performance.

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

Skills

• 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

Benefits

• Remote work option
• Opportunities for professional growth and learning in an innovative, fast-paced environment
• Equity options

Company Overview