Intern, AI Engineering

Location: Denver, CO (3 days a week at our INDUSTRY, RiNo workspace) 

Time Commitment & Pay

12-16 weeks; 15-24 hours per week

$19 - $25/hr

About 85SIXTY:

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.

Responsibilities:

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.

• 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.

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.

Desired Qualifications:

• 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.

Bonus points for experience with:Next.js, Vercel, Google Cloud Platform (BigQuery, Cloud Run, Vertex AI), Neon, or anything e-commerce / ad-tech (Google Analytics, Google Ads, etc.)

Perks & 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.

Compensation Disclaimer:

Compensation Range: $19-25/hr. Actual compensation is based on multiple factors that are unique to each candidate, including and not limited to job-related knowledge, level of relevant experience, education, skills and geographic location (to account for comparative cost of living). 85SIXTY reserves the right to modify this pay range at any time.

EEO Statement:

85SIXTY is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

Staffing / Recruiting Agencies:

To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at 85SIXTY. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. 85SIXTY does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, 85SIXTY employees or any other company location. 85SIXTY is not responsible for any fees related to unsolicited resumes/applications.

Fake Job Postings Statement:

Please be aware of fictitious job postings, consulting engagements, solicitations, or employment offers from suspicious sources. These engagements may be an attempt to obtain private information, or to induce you to pay a fee for services related to recruitment or training. 85SIXTY does NOT charge any application, processing, or training fee at any stage of the recruitment or hiring process. If you have any doubts about the authenticity of any messaging behalf of 85SIXTY, please send us an email at HR@85SIXTY.com before taking any further action in relation to the correspondence, recruitment or hiring process. All genuine job openings will be posted on our careers page at https://85sixty.rippling-ats.com/.