Senior Machine Learning Engineer

Desired Skills

• 8+ years of professional software engineering or machine learning engineering experience.
• A strong record of building, deploying, and operating machine learning systems in production.
• Strong software engineering fundamentals, including system design, APIs, testing, deployment, observability, and maintainable production code.
• Experience designing distributed systems, large-scale data-processing workflows, or high-throughput and low-latency services.
• Fluency across the ML lifecycle, including data and feature pipelines, training, evaluation, model serving, monitoring, and retraining.
• The ability to investigate production issues across models, data, application code, and infrastructure.
• The judgment and autonomy to lead technically complex work, navigate ambiguity, and make architectural decisions with long-term consequences.
• Strong collaboration and communication skills, particularly when working across machine learning, data engineering, analytics, and product disciplines.
• A commitment to raising the technical capabilities of the broader team through mentorship, thoughtful review, documentation, and shared engineering practices.
• Demonstrated experience matters more to us than a particular degree or industry background.
• U.S. core business hours availability and willingness to travel for company meetings.

Bonus Points