About the job
About Us
At XOXO AI, we are at the forefront of innovation, crafting intelligent interfaces that seamlessly integrate into everyday life. As a dynamic research lab comprised of dedicated engineers, designers, and researchers, we tackle unique challenges that extend beyond the workplace.
Having achieved significant breakthroughs in infrastructure, architecture, and model layers, we are looking for passionate builders to help us realize our vision through the development of robust interface and application layers.
About the Role
We seek a talented Data/Machine Learning Engineer to establish our data infrastructure and production-ready ML systems, ensuring our product is responsive, dependable, and intelligent. This full-cycle role involves designing high-throughput pipelines, defining resilient data models, and deploying low-latency feature and model serving that can withstand real-world demands.
You will collaborate closely with our founders and the early engineering team to transition prototypes into production, transforming complex real-world signals into reliable datasets and real-time functionalities that enhance core product experiences.
What You’ll Do
Develop and manage high-throughput batch and streaming pipelines for analytics, training, and product signals.
Lead real-time feature pipelines and online feature serving for low-latency inference.
Design and oversee dimensional data models, skillfully managing schema evolution to avoid disrupting downstream consumers.
Optimize model serving infrastructure to meet stringent latency and reliability service level objectives (SLOs).
Establish and enforce event schemas, telemetry standards, and data contracts across multiple teams.
Collaborate with engineering, product, and research teams to translate ambiguous product requirements into measurable, sustainable systems.
