Senior Machine Learning Engineer - Remote AI Innovator

About the Role

We are hiring a Senior Machine Learning Engineer to join our remote team at AssemblyAI. As a key player in our organization, you will accelerate our AI research-to-production pipeline. This Senior Machine Learning Engineer remote position offers the opportunity to work on cutting-edge Speech AI models that power a variety of voice applications.

What You’ll Do

• Design and implement tooling that enables researchers to quickly deploy and evaluate new models in production.
• Design, build, and maintain high-performance, cost-efficient inference pipelines, making architectural decisions about scaling, reliability, and cost trade-offs.
• Proactively identify and resolve infrastructure bottlenecks, proposing and scoping improvements to iteration speed and production reliability.
• Develop and maintain user-facing APIs that interact with our ML systems.
• Implement comprehensive observability solutions to monitor model performance and system health.
• Troubleshoot and lead resolution of complex production issues across distributed systems, driving root-cause analysis and implementing preventive measures.
• Set the direction for and continuously improve our MLOps practices, identifying the highest-impact opportunities to reduce friction between research and production.
• Collaborate closely with research and engineering teams to align on technical direction, and help onboard and mentor engineers on ML infrastructure best practices.

Requirements

• Strong backend engineering experience with Python.
• Experience building and operating distributed, containerized applications, preferably on AWS.
• Proficiency implementing observability solutions (monitoring, logging, alerting, tracing) for production systems.
• Ability to design and implement resilient, scalable architectures.
• Track record of independently scoping and delivering complex technical projects from problem identification through production deployment.
• Comfort navigating ambiguity and making pragmatic technical decisions when requirements are unclear or evolving.

Nice to Have

• MLOps experience, including familiarity with PyTorch and Kubernetes.
• Experience working in fast-paced environments.

What We Offer

• Competitive salary ranging from $140,000 to $180,000 annually.
• Flexible remote work environment.
• Opportunity to work with leading AI technologies and contribute to impactful projects.
• Collaborative and innovative team culture.
• Professional development opportunities.