4 дня назад
Intern, Software Engineering
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Intern, Software Engineering (AI): Building software tools, interfaces, APIs, and data services that help scientists explore protein designs, plan experiments, and visualize screening results with an accent on AI-driven protein design and scientific data workflows. Focus on developing a focused research tool, collaborating with scientists and machine learning researchers, and delivering well-tested, documented software.
Location: Hybrid, with 2–3 days on-site per week at the Emeryville, California headquarters, United States
Company
is a frontier AI lab building foundation models for biological molecules to transform medicine, agriculture, and related fields.
What you will do
- Design and build software for exploring protein designs, planning experiments, and visualizing results.
- Develop intuitive user interfaces together with supporting APIs and data services.
- Collaborate with scientists, engineers, and machine learning researchers to understand needs and improve tools through feedback.
- Write well-tested code, document the work, and present the completed project to the team.
Requirements
- Enrollment in a BS, MS, or PhD program in Computer Science, Software Engineering, Bioengineering, or a related field, or equivalent practical experience.
- Strong programming skills in Python and familiarity with AI-assisted tools for writing, testing, and debugging software.
- Experience with web applications, data visualization, APIs, databases, or scientific computing.
- Curiosity about AI and biology, strong problem-solving skills, and the ability to work independently and collaboratively.
- Prior biology experience is not required.
Nice to have
- Additional practical experience in software engineering, biology, or scientific computing.
Culture & Benefits
- Typical internship duration is 12 weeks with flexible start dates.
- Mentorship from experienced software engineers and close collaboration with scientists and machine learning researchers.
- Opportunity to ship a software project that influences how proteins are designed and tested.
- Competitive internship compensation.
- Work in a mission-driven, fast-growing, well-funded startup environment.
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