machine learning engineer for biomechanical analysis

MiraiTech is a SportTech startup developing an AI platform for biomechanical analysis of athletes using proprietary sensors. The platform is scaling from R&D to production and commercial launch after securing a $700K Pre-Seed round.

• Manage the full ML cycle, including experiment design, data collection and processing, model development, validation, deployment, monitoring, and visualization
• Develop, train, validate, and deploy ML/DL models in production
• Work with time series and multimodal sensor data
• Improve model accuracy, robustness, latency, and efficiency
• Build monitoring, versioning, and retraining pipelines
• Collaborate with hardware devices and sensors
• Participate in R&D, experimental design, and data collection
• Develop ML inference and data-processing services
• Work with APIs, databases, GPU, and cloud infrastructure
• Participate in ML/backend architecture design
• Set up AI Agents, LLM workflows, and integrations with external systems
• Provide technical leadership in ML
• Mentor engineers and develop ML engineering practices

• 3+ Years of commercial experience in Machine Learning
• Proficient in Python
• Practical experience with Deep Learning
• Strong experience with Time Series
• Experience with PyTorch / TensorFlow or similar frameworks
• Understanding of signal processing, statistics, and ML evaluation
• Experience deploying ML models in production
• Experience developing APIs and data pipelines
• Familiarity with Docker, databases, and cloud infrastructure
• Experience with GPU workloads
• Ability to independently drive ML tasks from experimentation to production
• Будет плюсом: IMU, pressure, force or biomechanical sensor data, Wearables / IoT / Edge ML, Signal Processing, Computer Vision, MLOps, CUDA / GPU optimization, LLM, RAG, AI Agents, Tool Calling, Microservices, AWS / GCP / Azure

• Условий в вакансии нет