Software Engineer, Machine Learning

What you'll do

• Own ML system architecture and resolve complex issues across training, data, model quality, and serving.
• Set technical strategy and engineering standards across teams; align research, infrastructure, and product organizations.
• Apply AI-native tools and workflows, improve reliability and performance, and mentor engineers.

What they ask for

• Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience.
• 12+ years designing, building, and deploying large-scale machine learning systems in production.
• Experience architecting end-to-end ML platforms and resolving complex cross-system ML failures.
• Experience defining technical strategy across teams and integrating AI tools to improve workflows and measurable outcomes.

Nice to have

• Industry-recognized ML systems contributions, such as publications, open-source frameworks, or widely adopted architectural patterns.
• Experience across product domains and large-scale foundation model training, fine-tuning, or inference optimization.

Pay

$347,000/year to $403,000/year USD base salary + bonus + equity (total pay unspecified)

AI focus

Builds and operates large-scale ML systems, including foundation model training and inference; applies AI-native tooling and automation to accelerate development and deployment; includes responsible AI safeguards.