Co-Op Fall 2025
Description
Nara Logics provides an AI platform designed for high consequence decisions with full explainability for every response. The breadth of our customer set and platform offers team members opportunities to grow software development and data science skills, where artificial intelligence converges with current systems. We are seeking someone who is a skilled coder, ready to contribute to a team, and intellectually curious enough to define and develop innovative solutions focused on the customer mission.
We are looking for up to 3 co-ops who are excited to work on customer or internal software development needs. We like to give co-ops projects related to their interests, and which build out our product or benefit our developers. Past projects for co-ops have been:
Building ETL pipelines and Connectomes (our version of an ML model) from customer and benchmarking datasets
Implementing Elasticsearch + Kibana reporting for general monitoring and evaluation of our platform
Identifying and implementing a tool to enhance our platform or operations: e.g. implementing Swagger for documentation, Cloudflare for network security
Creating new components for visualizing various types of data
Working alongside our developers to support their projects: building out our Django API, writing generalized operations for ETL pipelines, optimizing code across environments, and more
Nara Logics co-ops combine software engineering, systems tooling, and AI. You will be exploring cutting edge tools to enhance our production-grade AI platform for our customers, who are defense contractors, government agencies, and top global enterprises in financial services, healthcare, and consumer products. Because of the nature of our work, co-ops must be US citizens.
Requirements
Based on your project, you’ll get the chance to learn/build:
Data science and matrix math with Pandas/NumPy
ETL pipelining with Dagster
RESTful APIs with Django, PostgreSQL
Container orchestration with Kubernetes
Deployment automation with Ansible
DevSecOps automation with tools like SonarQube and Fortify
Hone your Python skills in general with our developers reviewing your code!
Responsibilities
Participate in agile planning processes
Identify and advocate for best practices and system enhancements
Work as part of a cross-functional team to understand product and tool requirements and translate them into robust technology solutions
Collaborate with team members to implement and expand our platform based on cross-customer priorities
Applicants Must Have
Experience with Python
Solid understanding of software engineering principles, design patterns, and best practices for scalable and maintainable code
Education/experience in Computer Science, Software Engineering, Data Science, Mathematics, Computational Neuroscience, Cybersecurity, or a related field
Proficiency with various data structures
Interest in data orchestration, data science, RESTful APIs, AI, and/or DevSecOps
An enjoyment of learning
U.S. Citizenship
Benefits
Emphasis on learning, including in-depth tech reviews, regular research paper reviews, and AI roundtable events to enhance your co-op experience
Flexible remote work - in person in our DTX office at least 1x/week required, otherwise up to you
Free snacks/coffee/seltzer in office
Monthly team in-person days to build rapport and collaboration among colleagues, usually including interactive hackathons led by one of our developers
Flexible (unpaid) time-off policy