Join ALPHADIGITAL: Software Engineer (AI & Machine Learning) - Wearables

About Us:

At ALPHADIGITAL, we collaborate with industry leaders to drive innovation in the healthtech sector, focusing on wearable technology that empowers users to monitor and improve their health. Our products seamlessly integrate cutting-edge hardware with advanced AI and machine learning algorithms to deliver actionable insights. Join us on our mission to revolutionize health monitoring and personal wellness.

Position Overview:

We are looking for a talented Software Engineer with a focus on AI and Machine Learning to join our dynamic team. The ideal candidate will have extensive experience in developing algorithms and software solutions in C++/C or Python, optimized for wearable devices. You will work with a multidisciplinary team to create intelligent systems that analyze complex health data in real time.

Key Responsibilities:

• Design and optimize AI and machine learning algorithms for wearable health monitoring devices.
• Develop software solutions in C++/C or Python to process, analyze, and interpret large datasets from wearable sensors.
• Collaborate with hardware engineers, data scientists, and UX/UI designers to integrate AI-driven features.
• Maintain real-time data processing pipelines for continuous health monitoring.
• Evaluate and improve the accuracy, efficiency, and scalability of existing algorithms.
• Conduct research on the latest advancements in AI, machine learning, and wearable technology.
• Participate in all stages of the software development lifecycle, including coding, testing, and deployment.
• Debug and troubleshoot software to ensure the reliability and performance of our wearables.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, Electrical Engineering, or a related field.
• Strong programming skills in C++/C or Python, with a focus on performance optimization and real-time processing.
• Solid understanding of AI and machine learning algorithms, particularly as they relate to health data and wearable devices.
• Experience with data processing and analysis frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Familiarity with signal processing techniques and time-series analysis.
• Experience with embedded systems or real-time applications is a plus.
• Knowledge of cloud computing platforms and data storage solutions is desirable.
• Excellent problem-solving skills and a proactive approach to learning and development.
• Strong communication skills and the ability to work effectively in a team-oriented environment.

Preferred Qualifications:

• Experience with wearable technology, healthcare applications, or biomedical engineering.
• Understanding of physiological signals (e.g., ECG, PPG) and their interpretation.
• Familiarity with edge computing and deploying AI models on resource-constrained devices.
• Knowledge of regulatory standards and data privacy requirements in the healthcare industry.

What We Offer:

• Competitive salary and comprehensive benefits package.
• Opportunities for professional growth and career advancement.
• A collaborative, innovative, and inclusive work environment.
• The chance to work on impactful projects that make a real difference in people's lives.

How to Apply:

If you are passionate about AI, machine learning, and wearable technology, and are excited about improving health outcomes, we want to hear from you! Please submit your resume and a cover letter explaining why you are the ideal candidate for this position via LinkedIn.

ALPHADIGITAL is an equal opportunity employer. We celebrate diversity and are committed to fostering an inclusive workplace.