Senior Software Engineer (AI Infrastructure/MLOps)

Senior Software Engineer (AI Infrastructure / MLOps)

Introduction: We are seeking a Senior Software Engineer (AI Infrastructure / MLOps) to join our team. This role offers a unique opportunity to work on cutting-edge MLOps technologies and develop large-scale web applications for data-centric AI.

About the Company: Our team comprises MIT PhDs who have worked at leading tech companies and research institutions. We specialize in developing tools that enhance the quality of datasets, enabling data scientists and engineers across various industries to diagnose and fix issues effectively.

About the Role: you will be responsible for developing and maintaining our user-friendly web app built on advanced ML algorithms. You'll orchestrate cloud infrastructure for data ingestion, model training, serving, and data analysis. This role is ideal for those who enjoy tackling complex data and AI systems problems and want to have a significant impact by building systems from the ground up.

What We Can Offer You:

• Competitive salary and equity offering for certain roles
• Annual travel stipend to support work-life balance and cultural empathy
• Premium health insurance, including dental and vision
• Professional development stipend for ongoing learning in ML and software
• Opportunity to work with a dynamic and friendly team of MIT graduates

Key Responsibilities:

• Orchestrate cloud infrastructure to support SaaS/VPC data and machine learning pipelines
• Design, develop, deploy, and maintain software from the ground up using a modern tech stack
• Collaborate with other engineers to build and maintain large-scale systems
• Establish a strong engineering culture across the company

Relevant Keywords: AWS, Docker, Kubernetes, databases, DevOps, AI, machine learning, cloud infrastructure, MLOps, data-centric AI