Senior Machine Learning Platform Engineer

What you'll do

• Design and maintain high-availability inference infrastructure for predictive models and LLMs.
• Build and optimize low-latency streaming pipelines to deliver fresh feature data to production models.
• Improve distributed training infrastructure to enable efficient processing of large data volumes.
• Develop observability tools to monitor data quality and detect performance degradations in models.
• Mentor junior engineers on building production-grade software and improving engineering standards.
• Manage critical systems for fraud detection, user personalization, and blockchain analysis.

What we're looking for

• 5+ years of industry experience as a software engineer.
• Demonstrated ownership of distributed systems in production environments.
• Experience building and operating low-latency data or ML infrastructure at scale.
• Track record of mentoring engineers and raising team engineering quality through reviews and leadership.
• Familiarity with ML platform components like feature stores, model serving frameworks, and training orchestration.
• Ability to utilize generative AI responsibly to improve workflow efficiency, cost, and quality.