Own your future:
Our culture isn't something people join, it's something they build and shape. We believe that every person deserves to be heard and empowered. If you're on the fence about whether you're a fit, we say go for it. Let’s build something great together.
As a Staff Machine Learning Engineer, you will work closely with product, software, and data teams to build and integrate machine learning capabilities into products, while helping shape technical direction and best practices across the organization.
Must Haves:
- Strong experience building, deploying, and maintaining ML systems in production
- Deep understanding of MLOps, ML infrastructure, model lifecycle management, and monitoring
- Experience designing scalable systems, automation, and internal tooling for ML use cases
- Strong programming skills in Python, Go, Java, or similar languages
- Experience with cloud infrastructure, Docker, Kubernetes, CI/CD, and distributed systems
- Proven experience integrating ML capabilities into customer-facing products
- Strong testing mindset, including unit, integration, and production-oriented testing
- Ability to communicate complex technical topics clearly and collaborate across cross-functional teams
Nice to Have:
- Experience with Generative AI, LLMs, or applied AI product development
- Experience mentoring engineers and leading technical initiatives
- Familiarity with AWS and modern SaaS infrastructure
- Experience with model deployment pipelines, data pipelines, and API-based integrations
- Knowledge of databases, web services, and system performance optimization
- Experience supporting production systems in high-availability environments
Key Responsibilities:
- Lead the architecture and implementation of machine learning systems and platform capabilities
- Build infrastructure, tools, and automation that support scalable ML development and deployment
- Partner with product and engineering teams to embed ML features into core products
- Improve observability, performance, and reliability of ML services in production
