Weave
6 open remote positions
✨ Benefits Overview (3 of 6 jobs list additional benefits)
This position will be responsible for deploying, optimizing, and securing applications in Azure, ensuring high availability, scalability, and reliability. The engineer will manage containerized apps using AKS, ACI, or App Services and automate CI/CD pipelines. They will also configure Azure Monitor, Log Analytics, and App Insights to detect bottlenecks and manage Application Gateway, Front Door, or Traffic Manager for HTTPS routing and WAF policies.
We are seeking a detail-oriented and proactive Travel and Expense (T&E) Administrator to join our team. This role is responsible for ensuring compliance with corporate travel and expense policies, administering corporate credit cards, supporting employees with inquiries related to T&E processes, and creating and managing relationships with major corporate travel brands.
Weave accelerates how therapeutic knowledge is created, organized, and shared. The Research team turns novel, state-of-the-art AI into practical capabilities and open science contributions. Your work will super-charge Weave’s people with internal tools that cut busy-work, elevate our platform by inventing and benchmarking algorithms that make LLM-powered workflows reliable, and advance the field through papers and collaborations.
This position offers the opportunity to coach and mentor Tier 1 staff from the day they leave training. You will be responsible for ensuring that your team has the resources necessary to be successful. Coaching and mentoring your team toward accountability and best behaviors will ensure we are providing the very best experience for our customers.
Weave is seeking a Frontend Engineer to enhance the UX of platform. In this role, you will transition from idea to experimentation, testing, and production. You will translate customer problems into simple solutions, collaborate with product managers and designers, and develop usable solutions for customers. Furthermore, you will write performant frontend code, build document editor experience, and participate in software design.
As an AI Engineer, you will bridge the gap between data and biomedical expertise while delivering robust backend code by building the LLM-facing components of our backend service and ensuring the AI models consistently produce high-quality content under real-world load.