Location: Office in SoMa district, San Francisco, CA

About the Role:

We’re looking for a skilled Backend ML/AI Engineer to help drive the AI and machine learning capabilities of our revolutionary pilot training platform. As a key member of our team, you will be responsible for developing, deploying, and optimizing machine learning models that power the AI CFI (Certified Flight Instructor) system. This is a unique opportunity to work on state-of-the-art technology while contributing to the future of aviation training.

Responsibilities:

• Design, build, and deploy machine learning models that assess flight performance and simulate AI instructor feedback.
• Collaborate closely with the front-end and full-stack teams to ensure seamless integration of AI models into the platform.
• Optimize the performance of machine learning algorithms for real-time flight data analysis.
• Develop and maintain APIs for model inference and integration into cloud-based infrastructure.
• Assist in building robust, scalable backend systems that handle large volumes of flight data.
• Ensure data integrity, and design systems that facilitate continuous learning and improvement for the AI models.
• Stay up-to-date with the latest research in machine learning, especially in aviation and simulation technologies.

Qualifications:

• Strong background in machine learning and artificial intelligence, with experience in Python, TensorFlow, PyTorch, or similar ML frameworks.
• Experience in designing and implementing backend services, APIs, and working with databases.
• Proficiency with cloud services such as AWS, GCP, or Azure for deploying ML models in production environments.
• Experience working with large datasets, data pipelines, and real-time data processing.
• Knowledge of aviation and flight dynamics is a plus but not required.
• Strong analytical skills and a passion for solving complex problems.
• Excellent communication skills and a collaborative attitude.

What We Offer: