Member of Technical Staff, ML Infrastructure Engineer

Introduction: We are seeking a Member of Technical Staff, ML Infrastructure Engineer, who is passionate about building and optimizing the infrastructure that supports our machine learning models. This role offers the opportunity to work on cutting-edge technology and ensure the efficient deployment and operation of our AI systems.

About the Company: Join a small, interdisciplinary AI studio that has trained several state-of-the-art language models and developed a personal assistant. This company is at the forefront of AI technology, focusing on finetuning and deploying models for commercial partners. With a commitment to prioritizing the well-being and happiness of partners, users, and stakeholders, this organization represents a transformative era in AI development.

About the Role: As a Member of Technical Staff, ML Infrastructure Engineer, you will be responsible for designing, building, and maintaining the infrastructure required for training, deploying, and managing our AI models. This involves working with a variety of tools and technologies to ensure our systems are scalable, reliable, and efficient.

What We Can Offer You:

• Competitive salary range.
• Unlimited paid time off.
• Parental leave and flexibility for all parents and caregivers.
• Generous medical, dental, and vision plans for US employees.
• Compliance with country-specific benefits for non-US employees.
• Visa sponsorship for new hires.
• Avenues for personal growth such as coaching, conference attendance, or specific trainings.

Key Responsibilities:

• Design and implement scalable infrastructure for training and deploying ML models.
• Optimize resource allocation and management for large-scale machine learning workloads.
• Develop and maintain tools for model versioning, deployment, and monitoring.
• Ensure the reliability and performance of ML systems in production environments.
• Collaborate with data scientists and ML engineers to streamline the model development and deployment pipeline.
• Utilize technologies such as Kubernetes, Docker, Terraform, AWS, GCP, and MLflow for infrastructure management.

This position as a Member of Technical Staff, ML Infrastructure Engineer, is ideal for those with a strong background in infrastructure engineering and a passion for supporting the deployment of advanced AI models. If you have experience in building and maintaining scalable systems and enjoy working in a dynamic environment, this role provides a unique opportunity to contribute to a leading AI platform.

Keywords: ML infrastructure, scalable systems, model deployment, resource optimization, Kubernetes, Docker, Terraform, AWS, GCP, MLflow.