Title : Principal, Software Engineer (MLE)

Location : Sunnyvale, CA

Position : FTE

What you'll do:

• Platform Design & Architecture: Lead the design and development of a robust, scalable Generative AI Image Platform optimized for ecommerce, personalization, and recommendation use cases. Ensure the platform is multi-tenant and cloud-native, supporting a broad range of business needs.
• Scalability & Performance: Architect the platform to handle millions of real-time requests with low latency and high availability. Implement best practices for high performance and reliability in a cloud environment.
• Generative AI Models: Drive the development and integration of generative models (e.g., GANs, diffusion models) tailored for ecommerce and personalized content generation.
• SaaS Development: Oversee the full lifecycle of a SaaS platform, ensuring modular design, secure multi-tenancy, and smooth onboarding for diverse clients across the personalization and recommendation domains.
• Cross-functional Collaboration: Work closely with product managers, data scientists, and engineers to translate business requirements into technical solutions, driving innovation in personalized image creation and ecommerce experiences.
• Data Analysis & Insights: Leverage advanced data analysis to extract insights from platform usage, model performance, and customer behavior. Use this data to inform model improvements, feature development, and overall platform enhancements.
• Cloud Infrastructure: Design cloud-native solutions leveraging technologies such as Kubernetes, microservices, and serverless architecture to enable seamless scaling and cost efficiency.
• Leadership & Mentorship: Provide technical leadership and mentorship to engineering teams, guiding best practices in software engineering, model development, and cloud infrastructure.
• Thought Leadership: Contribute to the industry through publications, conference talks, or meetups focused on scalable machine learning systems, generative AI, and cloud-native architectures.

What you'll bring:

• Master’s or PhD in Computer Science, Machine Learning, or related field.
• 8+ years of experience in designing and deploying large-scale machine learning systems, with at least 2 years focused on generative AI and cloud-native platforms.
• Deep expertise in building SaaS solutions, including multi-tenant architectures, API design, and security best practices.
• Proven experience in scaling platforms to handle millions of requests, with strong knowledge of distributed systems, cloud infrastructure, and high availability patterns.
• Strong proficiency in generative AI techniques (GANs, diffusion models) and their application in personalization and recommendation systems.
• Experience with cloud platforms (GCP, Azure), container orchestration (Kubernetes), and microservices architecture.
• Excellent leadership, communication, and collaboration skills, with a track record of leading high-performing technical teams.

Preferred Experience:

• Prior experience in ecommerce systems, with a deep understanding of personalization and recommendation systems.
• Hands-on experience with deploying and maintaining AI models in production, including model monitoring and automated retraining workflows.
• Active participation in relevant conferences and industry forums with a focus on scalable ML systems and generative AI.