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New York, New York, United States
Onsite
Valthos Inc.
Valthos is an applied biological intelligence company. We build and deploy software and biological AI systems to safeguard humanity.
The same AI architectures that enable self-driving cars, land rockets with precision, and deliver expert-level reasoning are beginning to be deployed in biological design. To stay ahead, we must advance our arsenal of tools to capture and design against real-time sensitivities in nature’s evolving mutational landscape.
We are a group of mission-driven software engineers from Palantir and applied biological ML engineers from MIT’s Broad Institute and DeepMind making the latest advances in computational biology accessible in the real-world for federal and commercial use.
We are seeking software engineers to design and implement a platform that will allow Valthos to bring frontier methods to the end users, scientific and technical. Your day-to-day experience will range from implementing complex distributed systems, managing container-based scalable infrastructure, building REST APIs, integrating open source solutions, understanding the needs of our users and adapting our software to suit. You'll collaborate closely with technical and non-technical counterparts to understand our developers' and customers' problems and build software and infrastructure to tackle them.
Work with the AI Engineers and Computational Biologists to design and build high-scale, opinionated APIs that are data/GPU intensive
Prototype and develop interactive workflow UIs for life-science users
Iterate on and create data visualization tools that provide users with model results and context to understand them
Work with users to develop SDK for technical users
Develop and maintain a secure cloud environment for Valthos data and results.
Build distributed systems that efficiently/predictably process large-scale user data using both CPUs and GPUs
Build and maintain the backend infrastructure required for scaling out storage and compute
Design and build Valthos storage and search systems. Expect rapidly increasing scale and latency requirements.
Develop and maintain the systems and services that underpin the productivity of our development teams. Everything from our internal dev environments to managing automated deployments to our production infrastructure.
Experience implementing or working on distributed systems and their associated technologies (Kubernetes, Docker, etc)
Working knowledge of the full application stack (Web UX frameworks, API design and development, data modeling, RDBs, etc).
Preference for working in a fast-paced, autonomous environment
Experience working with AWS or other IaaS providers.
Experience working with large scale data and it’s associated technologies (parquet, pandas, etc)
Experience building data pipelines and asynchronous data processing
Experience working with biological data (sequences) and bioinformatics tools
Contributions to open-source projects
If there is a fit, we’ll schedule two technical interviews. The final step is an onsite in our office, where you’ll work on a small project, discuss ideas, and work with the wider team.
