Job title: Founding MLOps Engineer

Location: Bay Area

Work Arrangement: Hybrid

Salary: $300k

Responsibilities

• Design, implement, and maintain machine learning pipelines based on the product roadmap.
• Develop and manage an asynchronous messaging protocol for both backend and frontend, ensuring optimization where needed.
• Establish a monitoring and alerting system to detect issues, opportunities for optimization, and errors.
• Conduct a comprehensive analysis of the video pipeline, outlining its interfaces, desired output quality, and required tasks.
• Evaluate existing Gen-AI models, such as Stable Diffusion, GANs, and LLMs, to determine if they can deliver similar outcomes.
• Explore and research new AI models to assess their potential in enhancing product performance.
• Deploy AI models on in-house hardware, adjusting them with unique character art as needed, and integrate them into the broader platform.
• Develop scalable, cost-efficient API connections for cloud-deployed models.

Requirements

• Proven experience working with large-scale distributed systems and machine learning platforms.
• Expertise in curating and bootstrapping datasets for large-scale image generation or classification tasks.
• Strong proficiency in Python, PyTorch, and related machine learning libraries.
• Ability to read and implement cutting-edge research papers in Generative AI, and collaborate with researchers for brainstorming and innovation.