Staff Machine Learning Engineer
Madhive- Full Time
- Expert & Leadership (9+ years)
Candidates should have over 5 years of experience working with machine learning infrastructure in a production environment, preferably for a consumer-facing product. A minimum of 2 years of management experience is preferred. Proven experience in leading teams to build scalable ML systems and pipelines is required, along with expertise in cloud platforms such as AWS and container orchestration tools like Docker and Kubernetes. Strong programming skills in Python and experience with ML frameworks like TensorFlow or PyTorch are essential. Familiarity with monitoring and managing deployed models using tools like A/B testing and telemetry is also needed. Excellent communication skills to engage with both technical and non-technical stakeholders are necessary, along with a passion for AI and its applications in creative and social contexts.
The Machine Learning Infrastructure Manager will lead the design, development, and maintenance of scalable machine learning infrastructure for Cantina's AI-driven applications. They will implement and optimize the deployment of ML models to ensure low-latency and high-availability performance. The role involves collaborating cross-functionally with product, engineering, and research teams to integrate AI models into the platform. Additionally, they will develop robust monitoring and feedback loops for continuous model improvement based on real-world data and user interactions, spearhead initiatives to optimize infrastructure for cost, efficiency, and scalability, and ensure that the machine learning infrastructure adheres to best practices in security and reliability.
Social gaming platform with AI interactions
Cantina.com offers a platform that merges social gaming with artificial intelligence, allowing users to create and interact with AI-driven bots in a virtual space called "The Cantina." Users can customize their experiences by adding bots with unique personalities, engaging in conversations, and creating AI art, making each interaction personalized. The company stands out by focusing on user-driven content and a dynamic experience, appealing to tech-savvy individuals and social gamers. Cantina operates on a subscription model, aiming to provide an engaging environment that leverages the growing interest in AI and social gaming.