Job Description

We’re looking for a Member of Technical Staff to build and deploy production-grade AI systems. In this role, you’ll work across modeling, systems, and product to take ideas from concept to real-world applications.

Key Responsibilities

• System Development & Deployment: Build, integrate, and deploy AI-powered systems into production environments

• Model Development: Fine-tune, evaluate, and work with machine learning models in real-world applications

• Systems Engineering: Design scalable pipelines for training, inference, and data processing

• Performance Optimization: Improve latency, throughput, cost efficiency, and reliability of systems

• Data & Infrastructure: Work with large-scale datasets and integrate systems with internal tools and APIs

• Cross-Functional Collaboration: Partner with product, research, and design to ship end-to-end features

• Evaluation & Monitoring: Implement evaluation frameworks, observability, and feedback loops

Minimum Qualifications

• Education: Bachelor’s or Master’s in Computer Science, Engineering, or related field

• Technical Skills: Strong proficiency in Python and modern engineering or ML frameworks

• Production Experience: Experience building and deploying systems in production environments

• Systems Knowledge: Familiarity with data pipelines, APIs, and cloud infrastructure (AWS, GCP)

• Practical ML Experience: Experience working with machine learning models or data-driven systems

Nice to Have

• Experience deploying or scaling ML systems in production

• Familiarity with LLMs, agents, or workflow automation systems

• Experience with distributed systems or large-scale infrastructure

• Background in fast-paced or early-stage environments