Lead ML Cloud Services Engineer - AI Safety

Capitolis; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Dynamo AI in San Francisco seeks a Lead Software Engineer to head the development of our ML services on the cloud, ensuring scalable, secure, and production-ready solutions. You will guide a high-performing engineering team through design, implementation, and deployment in a fast-moving AI safety and compliance domain.

You will partner with ML researchers, product managers, and customers to translate complex requirements into robust services, optimize performance, and deliver reliable

Qualifications

• 7+ years of experience delivering industry-leading AI solutions.
• Experience building services for training and inference of AI models.
• Expertise in API design, TypeScript, and Python.
• Strong knowledge of Kubernetes and distributed systems.
• Strong communication and collaboration with cross-functional teams.

Responsibilities

• Lead the engineering team to design, develop, and deploy high-performance, secure, and reliable ML services adhering to industry-leading standards.
• Partner closely with the ML team to streamline and optimize the transition from experimentation to production for cutting-edge ML models and AI solutions.
• Deeply understand customer needs and industry trends in AI safety and compliance, collaborating with leadership and product managers to shape and execute technical strategies.
• Work directly with customers to deliver tailored solutions, ensuring seamless integration of our products with their AI systems.
• Establish yourself as a thought leader in the AI safety and compliance domain by providing insights and influencing the broader community and industry.

Skills

API design

Typescript

Python

Distributed systems

Cross-functional collaboration

Tools

Kubernetes

Job description

Dynamo AI in San Francisco seeks a Lead Software Engineer to head the development of our ML services on the cloud, ensuring scalable, secure, and production-ready solutions. You will guide a high-performing engineering team through design, implementation, and deployment in a fast-moving AI safety and compliance domain.

You will partner with ML researchers, product managers, and customers to translate complex requirements into robust services, optimize performance, and deliver reliable