Member of Technical Staff - Recommendation Systems

SpaceXAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.

ABOUT THE ROLE:

We’re seeking exceptional Applied engineers to join a high-priority project that approximately 600 million monthly users use. This is an exciting opportunity for individuals with a engineer or scientist background to apply their skills to recommendation systems, ranking algorithms, search technologies, and many other systems. You’ll work at the intersection of advanced AI development and real-world impact, enhancing the ability to connect users with relevant content, accounts, and experiences.

RESPONSIBILITIES:

• Designing and architecting recommendation algorithms across various product surfaces

• Leverage all of SpaceXAI's infra and AI stacks to dramatically enhance the user experience

• Write data pipelines and training jobs that continuously learn from product data.

• Iterate and improve the algorithm by gathering user feedback in real time through experimentation

• Ensuring scalability and efficiency of machine learning systems

BASIC QUALIFICATIONS:

• Knowledge of data infrastructure like Kafka, Clickhouse, and Spark