Amperity
Seattle · CDP
Seattle · CDP
Amperity currently has 8 active AI-related job listings. The majority of these roles, 50%, are in the application stage. The top hiring function is Engineering, with 7 roles, and the primary hiring country is the United States, with 5 roles. Frequent tech tags include model serving, inference infrastructure, and agent orchestration. There were 0 new AI roles posted in the last 30 days, representing a 100% decrease compared to the previous 30-day period.
Currently tracking 4 active AI roles, with 7 new openings in the last 4 weeks. Primary focus: Ship · Engineering. Salary range $186k–$280k (avg $228k).
Amperity currently has 8 active AI-related roles in our index. The most common open titles are: Lead Software Development Engineer (2), Senior Software Development Engineer (2), Principal AI Product Manager, Senior Machine Learning Engineer, Software Development Engineer II. Most positions are in Engineering and Product.
Amperity's active AI hiring is concentrated in: application (50%), serving infrastructure (25%), agents (13%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Amperity is hiring AI talent in: United States (5 roles), Argentina (3 roles).
Job postings at Amperity most frequently mention: Statistics, Predictive Modeling, Machine Learning, Content Generation, Authentication.
In the past 30 days, Amperity has posted 0 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Lead Machine Learning Engineer Lead Machine Learning Engineer at Amperity, an AI-first company focused on customer data and personalized experiences. The role involves leading ML projects, guiding technical direction, and developing platform capabilities for AI-driven products. Responsibilities include architecting ML platform components, building automated training and deployment pipelines, designing feature engineering systems, improving inference latency, and establishing MLOps best practices. Requires 8+ years of experience in building production ML systems, technical leadership, expertise in ML deployment, serving, feature engineering, monitoring, and cloud-native infrastructure. | ServeData | 8 |