Senior Algorithm Engineer, Human Motion

Huawei Finland R&D; Helsinki; On-site; EUR 60,000 - 80,000; Full time

Benefits offered by this job

Innovative work on human motion technology

Career growth opportunities

Exciting work environment at a dynamic research lab

Job summary

A leading technology firm in Helsinki is seeking a Senior Algorithm Engineer to drive innovation in wearable technology. The ideal candidate will design and develop sophisticated algorithms, validate performance, and lead research on emerging technologies. Candidates should have a strong background in data science and machine learning, along with excellent communication skills. This full-time consultant position offers a dynamic work environment focused on high-impact research and development for health and fitness solutions.

Qualifications

• Experience in designing wearables algorithms utilizing inertial sensors in biomechanics domain.
• Proficiency in designing and optimizing algorithms for real-time data processing.
• Experience with Kalman filtering and sensor fusion.
• Strong experience with data analysis skills and machine learning frameworks.
• Enthusiastic about wearable technology and fitness.
• Fluent in English with strong communication skills.
• Creative and analytical mindset to resolve technical challenges.

Responsibilities

• Create and implement sophisticated algorithms for wearable technology.
• Conduct validation of algorithms to ensure accuracy and reliability.
• Lead research efforts on emerging technologies for product innovation.
• Collaborate with multidisciplinary teams to develop advanced algorithms.

Skills

Data Science

Algorithm Development

Human Motion Analysis

Machine Learning

Strong Communication Skills

Education

Degree in Data Science, Applied Mathematics or related fields

Tools

TensorFlow

PyTorch

Job description

Huawei Helsinki Sports Science Laboratory is seeking aSenior 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.

Check out our lab here: https://www.youtube.com/watch?v=xBNBCI8K4Jc

Main Responsibilities:

• Design and develop cutting‑edge algorithms: 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 cutting‑edge technologies and assess their feasibility in the context of Huawei’s product lines. Integrate innovative solutions to maintain leadership in wearable and health technology. 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.

• Collaborate with Multidisciplinary Teams: Work closely with teams in physiology, biomechanics, sensor technology, data science, to drive the strategic development of advanced algorithms, shaping the roadmap for Huawei Health products and ensuring continuous improvement and innovation.

Requirements:

• Background in data science, applied mathematics, or related fields preferred: Experience in designing wearables algorithms utilizing inertial sensors in biomechanics domain is highly valued.

• Experience with algorithm development for wearable devices: Proficiency in designing and optimizing algorithms for real‑time data processing in wearable technology, particularly in areas like motion tracking, energy expenditure, and personalized fitness coaching.

• Expertise in human motion analysis and sensor Fusion: Proficient in applying advanced wearable inertial sensors for comprehensive motion analysis, working knowledge of GNSS data is a plus. Strong experience with Kalman filtering and sensor fusion. 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 analysis skills, machine learning frameworks (e.g., TensorFlow, PyTorch), and familiarity with AI applications in health and sports science, enabling predictive and personalized health solutions.

• Passion for fitness and wearable technology: Enthusiastic about the potential of wearable technology to revolutionise personalized and preventive health solutions. A genuine interest in fitness training, digital health, and wellness is essential.

• Strong communication skills: Fluent in English (required), ability to communicate complex technical concepts clearly and effectively in English, both in writing and verbally. Ability to collaborate across teams, document processes effectively, and manage priority and changes. Experience working in cross‑functional teams with engineers, scientists, and business stakeholders is key.

• Problem‑solving, innovation and technical acumen: A creative and analytical mindset, with the ability to resolve technical challenges in algorithm development and product implementation and develop novel solutions that push the boundaries of wearable and health technologies.

Contract Type: This is a full‑time consultant position, the consultant shall be employed by Huawei’s supplier.

Why Join Us?

• Innovative Work: You’ll be working at the cutting edge of human motion technology, with opportunities to tackle complex and meaningful challenges.

• Impact: Your work will directly contribute to the development of products that improve human health, performance, and safety.

• Growth Opportunities: We foster a culture of continuous learning, providing opportunities for professional development and career advancement.

• Exciting Work Environment: Join our dynamic sports science lab which located at Ruoholahti, and be part of the cool team!

About Huawei

Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. With integrated solutions across four key domains – telecom networks, IT, smart devices, and cloud services – we are committed to bringing digital to every person, home and organization for a fully connected, intelligent world. At Huawei, innovation focuses on customer needs. We invest heavily in basic research, concentrating on technological breakthroughs that drive the world forward.

We seek and reward talent! At Huawei, if you are dedicated to creativity, engagement of technical risks and delivery of target‑driven results, your efforts will be rewarded with outstanding career prospects.

About Huawei Finland R&D

With 28 sites across Europe and over 2000 researchers, Huawei’s European Research Institute (ERI) oversees fundamental and applied technology research, academic research cooperation projects, and strategic technical planning across our network of European R&D facilities. Huawei Finland Research Center was established in 2012. At our sites in Helsinki and Tampere, you will have an outstanding opportunity to be part of the leading research and development of future smart devices. We offer a career in a forward‑looking industrial research team with a solid track record in innovation and publication and delivering its result as factual contributions to on‑the‑market devices.