- Optimizing compute infrastructure for AI science and model training.
- Enhancing scientific code and engineering to accelerate research.
- Introducing best practice in code development.
- Developing tooling for large-scale AI model inference.
- Managing large biological datasets and improving data warehousing.
- Developing tooling to improve productivity of design team.
- Collaborate with a team of experts in computational protein design, AI, and life sciences.
- Work autonomously, empowered to make significant contributions.
- We work hybrid, at our office in Seattle. (This position is not remote.)
- At least 3 years of software engineering or related experience.
- Proficiency in cloud infrastructure deployment.
- Experience in developing machine learning systems, both in training and inference phases.
- Experience in the biotech/life sciences field.
- Experience in developing data warehousing solutions.
- Experience in developing user interfaces for cloud-based systems, specializing in creating intuitive and interactive GUIs that enhance user engagement and system usability
Software Engineer - Seattle, United States - ZipBio
Description
Are you ready to tackle some of the biggest challenges in AI and biology? At ZipBio, we are seeking versatile software engineers eager to work across multiple areas of our transformative platform. You will contribute to:
As a key member of our small, pragmatic team, you will:
Minimum Qualifications:
Preferred Qualifications:
Why Join Us?
If you're driven by the potential to impact global health and advance biological capabilities, ZipBio offers a unique opportunity. ZipBio stands to redefine drug delivery by addressing the size of biotherapeutics. We're building new technologies that could save lives, and we need your expertise to make it happen
Compensation:
Compensation is aligned with market trends and company growth. As an early member of our team, you can expect a competitive salary and a meaningful equity package, reflecting your role in our shared success.