Amperity
Seattle · CDP
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).
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.
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 |
|---|---|---|
| Senior Machine Learning Engineer Senior Machine Learning Engineer at Amperity, an AI-first company, focusing on building and operating production ML systems end-to-end. Responsibilities include designing ML pipelines, deployment architecture, retraining pipelines, monitoring solutions, and improving model inference latency. Requires expertise in ML deployment patterns, model serving, feature engineering, monitoring/observability, cloud-native ML infrastructure, and AI coding assistants. The role emphasizes leading complex projects, mentoring teammates, and ensuring the reliability and efficiency of ML systems within an enterprise AI context. | Serve | 7 |