Currently tracking 14 active AI roles, with 52 new openings in the last 4 weeks. Primary focus: Agent · Engineering. Salary range $139k–$277k (avg $211k).
| Title | Stage | AI score |
|---|---|---|
| Staff Data Scientist Staff Data Scientist at Twilio focused on driving growth across the full funnel by revolutionizing cross-sell and upsell initiatives. The role involves designing data products, building recommendation engines, and leveraging ML/GenAI for Product-led-growth, with a strong emphasis on translating business objectives into a data science roadmap and measuring the impact of data products. | ShipAgent | 7 |
| Principal Engineer Principal Engineer to own the technical strategy for the Phone Numbers Platform, focusing on pioneering AI-driven development workflows using LLMs and agentic agents to accelerate code generation, automate architectural reviews, and synthesize complex global telecommunications regulations into executable logic. The role involves transitioning legacy systems, driving technical excellence, and mentoring engineers, with a strong emphasis on using AI to amplify team velocity and deliver features faster. |
| Agent |
| 7 |
| Machine Learning Engineer Machine Learning Engineer to drive innovation and develop cutting-edge ML-based systems for real-time applications, including anomaly detection, recommendation systems, predictive modeling, and agentic AI frameworks. This role involves designing, implementing, and maintaining scalable, low-latency ML solutions in production, building reproducible ML workflows, and implementing monitoring and evaluation frameworks. | ServeAgent | 7 |
| Senior Manager, Machine Learning Senior Engineering Manager for Twilio's Trust Intelligence Platform, responsible for building and managing a team that develops advanced machine learning models and data pipelines for real-time risk prediction and decision-making in communications. The role involves strategic planning, partnering with product teams, ensuring operational excellence, and managing highly critical risk platform tools in the cloud. | ShipServe | 7 |
| Machine Learning Engineer Machine Learning Engineer responsible for designing, building, and operating cloud-native data and ML infrastructure for real-time intelligence, including data pipelines, feature stores, and ML workflows for training, evaluation, and inference. | Serve | 7 |
| Principal Machine Learning & Data Engineer This role focuses on building and operating an internal ML and data platform, including cloud-native pipelines, model-serving infrastructure, and developer tooling. It involves architecting scalable feature stores, streaming/batch pipelines, and low-latency model-serving layers on AWS, implementing MLOps best practices, and leading cross-functional engineering efforts. | ServeData | 7 |
| Staff Machine Learning Engineer Staff Machine Learning Engineer to design, build, and operate cloud-native data and ML infrastructure for Twilio's Trust Intelligence Platform. This role focuses on scalable data pipelines, feature stores, and ML training/evaluation/inference workflows, integrating event streams from various Twilio products to enable real-time intelligence. Requires strong software engineering fundamentals, cloud platform experience, and familiarity with ML lifecycle tooling. | DataServe | 7 |