Machine Learning Engineer, Express AI Foundations

What you'll do

• Build and improve backend services, microservices, and workflows to connect models, APIs, and data systems.
• Develop data and inference pipelines for training, evaluation, fine-tuning, and deployment of ML models.
• Support runtime systems for inference and orchestration with a focus on reliability, observability, and performance.
• Optimize storage, caching, and data-access patterns to improve system efficiency, scalability, and cost.
• Contribute to core platform components that support AI experiences like Agentic, Create, Imaging, and Motion AI.
• Participate in debugging, testing, monitoring, and operational improvements for AI platform services.

What we're looking for

• 5+ years of experience in software engineering, backend infrastructure, data systems, ML infrastructure, or related areas.
• Good understanding of distributed systems fundamentals, backend services, and scalable system design.
• Experience building or supporting APIs, data pipelines, or event-driven systems.
• Proficiency in Python, Java, C++, or Go.
• Familiarity with cloud environments, service deployment, and production engineering practices.
• Exposure to ML systems or LLM-based applications, including model inference, orchestration, or evaluation (preferred).
• Bachelor’s degree or equivalent experience in Computer Science, Machine Learning, Data Science, or a related technical field (preferred).
• Experience with technologies such as Kafka, Spark, Flink, or similar distributed data frameworks (preferred).