Senior Staff Machine Learning Engineer, GenAI Platform

• →10+ years of experience in ML Engineering, AI Platform Engineering, or Cloud AI Deployment roles.
• →Have a track record of leading technical strategy and delivering AI platforms in cloud-based production environments at scale.
• →Demonstrate strong execution by turning strategy into action, driving complex initiatives end to end, and consistently delivering high-quality platform outcomes.
• →Bring deep experience operating Kubernetes and other orchestration systems in large-scale production environments.
• →Deep experience with cloud-based technologies for supporting an ML platform, including tools like AWS, Google Cloud Storage, infrastructure-as-code (Terraform), and more
• →Proficiency with the common programming languages and frameworks of ML, such as Go, Python, etc.
• →Excellent communication skills with the ability to articulate technical AI concepts to non-technical stakeholders
• →Strong focus on scalability, reliability, performance, and developer experience. You are an undying advocate for platform users and have a deep intuition for the genAI product development lifecycle.
• →Strong knowledge of model serving, inference pipelines, monitoring, and observability for AI systems is a plus

This job posting may span more than one career level.

In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/.

To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.