Ark Biotech is powering the most important infrastructure buildout of this generation to transform how people consume protein. Ark is a B2B company engineering and designing next-generation production systems for the cultivated meat industry. We are a venture-backed startup driven by a desire to create a better food system for the planet and its inhabitants. At Ark, you will have the opportunity to solve difficult problems that matter and apply cutting-edge engineering and science in an environment that rewards creativity and visionary approaches.
Let's build a better food system together, one line of code at a time!
Ark's Data Systems team is hiring a software engineering intern to build out our software platform. The Data Systems team is responsible for everything from production, model-based control software to web-based data monitoring applications. In this internship, you'll get the chance to collaborate with Ark's broader team of process scientists and automation engineers, enabling their innovation through a combination of reliable software and fast-paced design iteration.
What you'll get out of your time at Ark
● Daily experience working side by side with a team of hard-working, passionate, caring scientists and engineers
● Continuous feedback from a manager dedicated to developing your professional skillset and supporting your future career
● Opportunities to ship production software to customers in an agile development environment
● Working expertise in the Python web & data visualization stack
● Tangible impact in accelerating the cultivated meat industry
Must haves
● Proficiency in Python
● Experience building software with real users
● Eagerness and excitement for learning on the job
● Independence in problem-solving
● Currently enrolled in an undergraduate or graduate program, and completing that program by summer 2025
● Available for >=12 total weeks between May and September 2024
Relevant (but not required) experience
● DevOps tools & best practices, e.g. Docker, CI/CD, integration testing, metrics/logs/monitoring
● Python web stack, e.g. FastAPI, Flask, Django
● Python dashboarding stack, e.g. Altair, Bokeh, Plotly, Streamlit, Dash
● Relational and time-series databases, e.g. PostgreSQL, TimescaleDB
● Python packaging best practices
● Javascript in the browser
Application Deadline: Monday, November 13th, 2023
