Job Specifications
AI / ML Engineer Internship (Unpaid for CPT / OPT Credit)
Location: Fully Remote
Reports To: Product Manager
Job Classification: Internship
Position Type: Full- or Part-Time
Travel: None
Compensation: Unpaid
Who We Are:
ReferU.AI is a leading innovator in legal technology. Our platform is “The Tinder for Finding an Attorney,” using AI/ML to match consumers with attorneys with demonstrable experience representing similar cases according to court records. Our mission is: Smarter Results. Better Representation. The Best Outcomes.
ReferU.AI has been featured in Associated Press, MarketWatch / The Wall Street Journal, Morningstar, Yahoo! Finance, and USAToday, and was recognized as the 30 Most Innovative Companies to Watch and the Legal Tech Innovation Awards.
Life at ReferU.AI
Remote-First Freedom & Flexible Schedules:
ReferU.AI is a diverse and globally distributed team with no plans to return to a physical office. We are fully remote with flexible work hours and an async-first communication culture so you can design your most productive workday.
Deep Work & Maker Time:
We protect engineering focus time through no-meeting blocks, written-first discussions, and clear decision logs. The expectation is impact and shipped value, not hours spent in meetings.
High-Access Leadership & Company Rituals:
You’ll have direct, regular access to leadership and visibility into where the company is going:
Quarterly Town Halls with the Founder & CEO to walk through strategy, metrics, and milestones.
Quarterly Demo Days where teams showcase what they’ve shipped and what they’re experimenting with.
Monthly 1:1s with the Founder & CEO, focused on your career development, not status updates.
Collaboration, Autonomy and True Ownership of Outcomes:
You’ll work closely with product, engineering, go-to-market, and legal experts in small, highly autonomous squads. You’ll be trusted to own projects end-to-end, ask good questions, and iterate quickly while having rapid feedback and support from leadership.
Learning Culture & Monthly Learning Circles:
We’re intentional about learning together, not just alone in docs and repos:
Monthly Learning Circles where teammates demo a new tool, technique, or experiment to cross-functional teams (engineering, product, legal, GTM).
A Learning & Development stipend for courses, books, and conferences that align with your growth in AI/ML and our roadmap.
Growth Opportunities & Promoting from Within:
We bias heavily toward promoting from within. All of our current W-2 employees started as unpaid interns and grew into expanded roles as the company scaled. You’ll have:
Clear opportunities to take on larger projects, own systems end-to-end, and grow your scope.
A front-row seat to how responsibilities evolve as we grow headcount, revenue, and product surface area.
All-Expenses-Paid Off-Sites Tied to Revenue Milestones:
When we hit tangible revenue goals (for example, clearly defined ARR or MRR milestones), we bring the team together for fully paid company off-sites. Flights, lodging, meals, and activities are covered so we can align on strategy, celebrate hitting those targets, and design what’s next.
Who You Are
A recent or upcoming M.S. graduate in AI/ML or related fields who wants to work on real, production-grade systems, not just toy examples.
Comfortable moving from research papers and prototypes to deployed code that serves real users.
Strong in Python and core ML/LLM libraries, with experience building models, running experiments, and analyzing results.
Curious about legal reasoning, retrieval, and evaluation, even if you don’t have prior legal domain experience.
Energized by working in a fast-paced, early-stage startup where you’ll wear multiple hats, navigate ambiguity, and learn quickly.
Our Tech Stack
You don’t need to know everything on day one, but you should be excited to work with (and learn) most of this stack:
Backend & APIs: Node.js, TypeScript, Python, FastAPI / Express
Frontend & UX: Vercel, React, Next.js, Figma for product/design collaboration
Orchestration & Agents: CrewAI, n8n, agentic workflows, multi-agent orchestration patterns
AI / LLM Providers & Libraries: OpenAI, LangChain / LlamaIndex, core Python ML/LLM libraries (PyTorch, TensorFlow, Hugging Face ecosystem)
Data & Storage: Redis, PostgreSQL / Cloud SQL, vector databases (e.g., pgvector, Pinecone, Weaviate, Chroma)
Cloud & Infrastructure: Google Cloud (GCP), Docker, GitHub / GitHub Actions, basic monitoring/observability tools
Analytics & Logging: Event tracking, dashboards, and logging pipelines to understand usage and model behavior
Qualifications
Required:
M.S. in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a closely related field (or equivalent experience with a strong portfolio).
0–2 years of full-time industry experience; strong internships, research assistantships, or substantial personal projects are welcome.
Proficiency in Python and experience