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Senior Algorithm Engineer, Human Motion Huawei Helsinki Sports Science Laboratory is seeking a Senior Algorithm Engineer to join us. You will work with a diverse range of data, including physiology, human motion, biomechanics, cardiovascular, metabolic, etc. Our advanced facility is equipped with cutting-edge tools like wearable sensors, indirect calorimetry systems, electrocardiograms, and respiratory gas analyzers, enabling precise monitoring of physiological and biomechanical responses during exercise and other activities. Help shape the future of wearable technology with groundbreaking research and impactful solutions Huawei Helsinki Sports Science team was established in 2019. It welcomed a new Huawei Helsinki Sports Science Laboratory in 2023 October, equipped with a diverse range of world class sports equipment covering over 20 types of sports from swimming to alpine skiing. Check out our lab here Main Responsibilities: Design and develop cutting-edge AI and machine learning models: Create and implement sophisticated algorithms and models to achieve industry-leading accuracy, efficiency, and performance for Huawei’s wearable and health product lines, driving innovation in health monitoring and fitness tracking. Validate and Optimize Performance: Conduct rigorous validation of algorithms and systems to ensure the accuracy, reliability, and user-friendliness of Huawei Sports and Health products, applying best practices in real-time data processing and analysis. Enhance algorithmic designs to improve their adaptability, scalability, and integration with Huawei’s ecosystem of wearable devices, ensuring seamless performance in diverse environments and use cases. Explore and assess emerging technologies: Lead research efforts to explore latest technologies and assess their feasibility in the context of Huawei’s product lines. Spearhead and coordinate research projects that strengthen Huawei’s leadership in the wearable and health technology sectors, keeping the company at the forefront of innovation and maintain leadership in wearable and health technology. Collaborate with Multidisciplinary Experts: Work closely with teams in physiology, biomechanics, sensor technology, and data science to drive the development of advanced algorithms, shaping the roadmap for Huawei Health products and ensuring continuous improvement and innovation. Requirements: Background in data science, computer science, applied mathematics, or related fields preferred: Experience with designing wearables algorithms utilizing IMU sensors in biomechanics domain is highly valued. Experience with AI and machine learning modeling for wearable devices: Proficiency in designing and optimizing real-time algorithms for wearables, particularly in areas like motion tracking, physiological modeling, and personalized fitness coaching. Expertise in human motion analysis and sensor fusion: Proficiency in working with IMU sensors for motion analysis, working knowledge of GNSS data is a plus. Strong experience with sensor fusion using Kalman filters or deep learning methods. In-depth knowledge of biomechanical data interpretation across various sports, enabling accurate movement tracking and performance analysis. Proficiency in machine learning and data analysis: Strong experience with data science methodologies, machine learning frameworks (e.g. SciPy, TensorFlow, PyTorch), and familiarity with AI applications in health and sports science, enabling predictive and personalized health solutions. Familiarity with modern software development practices: Ability to write clean code, and comprehend modern Python is essential. Experience with unit testing, modern LLM tools and AI agents, and software architecture is considered a benefit. Passion for fitness and wearable technology: Enthusiastic about the potential of wearable technology to revolutionize personalized and preventive health solutio