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Company: Foray is a plant production company using plant cells, artificial intelligence, and advanced biomanufacturing to grow materials, molecules, and seeds directly from the cell up.
Our work is powered by Pando, our intelligent workspace for plant science. Pando combines novel plant datasets and emerging predictive models to help researchers design and optimize plant production workflows with greater speed and reliability. Together, our software and biomanufacturing platforms are creating new ways to produce what we need from plants while building more resilient plant industries.
Role: We’re looking for a Software Engineer, Data & ML to help build the software and data foundation behind Pando. You’ll work across the product, with a particular focus on backend systems, APIs, data infrastructure, and the systems supporting our machine learning work. A major part of the role is figuring out how to turn complex scientific and experimental information — including scientific literature, natural language, and data generated in the lab — into reliable, structured data.
You’ll work closely with software engineers, biologists, and ML researchers to translate experimental workflows, statistical analyses, and design-of-experiment approaches into scalable software and predictive tools. You’ll join early, have significant ownership, and help make foundational technical and architectural decisions as the platform grows.
You: + Strong software engineering generalist with particular depth in backend and data systems + Experience shipping production-grade software and building backend systems, data pipelines, databases, APIs, or other data-intensive infrastructure + Strong in Python and comfortable with relational databases, APIs, and modern software systems + Familiar with MLOps and the infrastructure needed to run AI models in production + Comfortable turning messy, heterogeneous, or unstructured information into trustworthy data, including through NLP, information extraction, or similar techniques + Understand good scientific data practices including quality, provenance, versioning, reproducibility, permissions, and access controls + Enough statistical fluency to reason about experimental data, uncertainty, and design of experiments + Enjoy learning unfamiliar domains, working across disciplines, and solving ambiguous problems with significant ownership + Experience with scientific or biological data, ML infrastructure, predictive modeling, optimization, or AI applications is helpful, but we don’t expect one person to have done all of these things before + Must be authorized to work in the United States
Learn more & apply: https://jobs.polymer.co/foray-bioscience/41044?source=Hacker...
Referrals: Available in the form of a houseplant or a lab-grown Christmas tree, while supplies last!
Mission/Company: We have plants to thank for nearly every aspect of our existence, from the air we breathe to the energy we consume and the food we eat. But today, plant resources, Earth’s life support system, is in need of life support. 40% of plant species are threatened with extinction. We need new ways of collaborating with plants to ensure long-term access to the plant products we need and the ecosystems that provide them. At Foray, we’re building a new operating system for plants. We use the same “hardware," the plant cell, and design ways for these cells to grow in new and productive ways. Spun out of MIT in 2022, Foray combines advanced plant biology with computational tools to reimagine how we propagate, produce, and protect plants. Our biology is already live in the lab. Our software designed to streamline plant growth workflows is entering private beta. We’re looking for a Lead Software Engineer to help bring our software tools to life for a wider group of scientists, growers, and partners.
Role: You’ll be our first dedicated software hire, hands-on from day one. You’ll write code, define architecture, and lay the foundation for a software team that grows with you. You’ll work directly with biologists, engineers, and early users to translate cutting-edge science into usable, scalable tools.
You:
+ 5+ years of experience in a Software Engineering role
+ Strong experience with Python backend development, such as FastAPI and modern Python tooling
+ Expertise in frontend development with React/TypeScript and modern frameworks like Vite
+ Experience with GCP infrastructure, particularly Cloud Run, Spanner DB, and CI/CD pipelines
+ Proven ability to lead technical projects with recent, hands-on software development experience (actively building and shipping features)
+ Comfortable in early-stage environments
+ Nice-to-have: Practical experience with machine learning, data science, or computational biology; experience with predictive modeling, optimization, or inference is a plus.
+ Must be authorized to work in the United States.
Learn more & apply: https://jobs.polymer.co/foray-bioscience/34839?source=HN
Referrals: We don’t have the capacity to offer financial reward, but can perhaps offer house plant.