Intern, AI Engineering
About The Position
For over 15 years, 85SIXTY has been helping clients transform the way they reach, acquire and engage with their customers through an integrated combination of data, technology, cross-channel strategies, and creative thinking. Some might call us a full-service digital consultancy, but we like to think of ourselves as a partner that can both drive strategy and orchestrate delivery. Founded in 2010 by a veteran in retail, eCommerce, and digital, 85SIXTY was built around a consultative, high-touch approach that allows us to work across a broad spectrum of areas to increase our value to our customers. We are supporting today’s forward-thinking brands in their journey towards growth, whether that be financially, operationally and/or strategically. Solving whatever is thrown our way and translating it into simple solutions is at the core of 85SIXTY. We are looking for team members who fit that ethos. Product: We’re building an AI platform that empowers marketers to optimize their investments. This application sits at the intersection of machine learning deployment, data engineering, and foundational AI models. Daily Workflow: You’ll jump into an early-stage codebase, ship features that matter, and see your work impact decisions at household-name brands in Travel & Hospitality, and Outdoors. What You’ll Learn: Building production apps that combine real-time digital-marketing data with GenAI. Best practices for prompt engineering, retrieval-augmented generation, and tool creation. The business side of advertising tech: multi-touch attribution, media mix modeling, and performance KPIs.
Requirements
- Pursuing (or recently completed) a CS, Data Science, or related degree.
- Comfortable in Python and JavaScript/TypeScript ; you’ve shipped a project (school, hackathon, or personal) that uses an LLM API or open-source model.
- Curious about marketing tech and motivated to learn what you don’t know.
- Strong communication skills; you like explaining your approach and learning from feedback.
Nice To Haves
- Next.js
- Vercel
- Google Cloud Platform (BigQuery, Cloud Run, Vertex AI)
- Neon
- anything e-commerce / ad-tech (Google Analytics, Google Ads, etc.)
Responsibilities
- Build & Ship: new product surfaces in TypeScript/React (Next.js) and Python micro-services.
- Prototype & Integrate : RAG / MPC workflows and custom ML models; help evaluate model quality.
- Wrangle data from BigQuery, Cloud Functions, and vector stores to power AI features.
- Write clean Docs so the team can move fast with confidence.
- Learn : pick up whatever tech and frameworks you need—from Cloud Run to sklearn and ML ops.
Benefits
- Flexible schedule for classes.
- Dedicated mentor + weekly 1:1s; chance to demo your work to agency leadership and clients.
- Access to internal workshops, certifications, and conferences.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Part-time
Career Level
Intern
