Senior Lead AI Engineer

What you'll do

• Design, develop, test, and support ML software components including distributed model training and inference.
• Implement model orchestration and observability systems for production environments.
• Utilize open-source and SaaS technologies like Kubernetes, Kubeflow, Ray, and Polars.
• Develop ETL and ML optimization techniques to improve scalability, cost, latency, and throughput.
• Contribute to the technical vision and long-term roadmap of ML systems.
• Apply state-of-the-art research and novel techniques to production AI systems.
• Lead and mentor an engineering team while influencing cross-functional stakeholders.

What we're looking for

• Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus 6 years of AI/ML experience.
• Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus 4 years of AI/ML experience.
• At least 6 years of experience programming with Python, Go, Scala, or Java.
• 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (preferred).
• Experience designing, developing, integrating, delivering, and supporting complex AI systems (preferred).
• Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders (preferred).
• Experience developing AI/ML algorithms like LLM Inference, Similarity Search, and VectorDBs using Python, C++, C#, Java, or Golang (preferred).
• Experience applying techniques to optimize training and inference software for hardware utilization, latency, throughput, and cost (preferred).