Work on real AI systems, research, and open-source.
We're building AI systems, conducting research, and training the next generation of AI engineers. Every position involves shipped work — not busy-work.
Engineering Fellowship
3-Month · Remote · Flexible
Work on real AI systems alongside the lab — agentic pipelines, LLM applications, speech AI, and production MLOps. Designed for engineers who want serious project experience, not busy-work.
- Real shipped projects (not toy exercises)
- Mentorship from the lab founder
- Open-source contributions with your name on them
- Research exposure and co-authorship opportunities
Research Internship
Flexible · Remote
Contribute to active research in low-resource NLP or speech AI. Help with data collection, annotation pipelines, model evaluation, and writing. All work is published with proper attribution.
- Co-authorship on published work
- Hands-on reproducible research workflow
- Access to lab datasets and compute resources
- International collaboration network
Volunteer Research Contributor
Rolling Applications
Contribute to open-source tooling, dataset annotation, or benchmarking tasks on a flexible schedule. No minimum commitment — just genuine interest in doing useful work.
- Flexible hours, fully remote
- Lab credit on contributions
- Path to Research Internship
Industry Collaboration
Project-Based · Open
Partner with INFERENCE Lab on applied AI R&D. We work with organizations that need rigorous, reproducible engineering — not a vendor relationship, a research partnership.
- Joint research and engineering deliverables
- Domain expertise in NLP, speech AI, LLM systems
- Co-publication opportunities
The lab is built on the same standard as its research.
Real systems, not toy projects
Every fellowship and internship involves code that ships — libraries that real researchers install, APIs that serve real traffic, research that gets published.
Research you can put your name on
Contributors to research work receive attribution. We publish with permanent DOIs and open-source every artefact — your work is verifiable by anyone.
Mentorship that goes both ways
You get direct access to the lab founder — not a mentor who reviews your PRs once a week. You're expected to push back, ask hard questions, and own your work.
Portfolio that speaks for itself
GitHub history, published models on HuggingFace, co-authored papers. Not a certificate. The kind of proof that holds up to a technical interview.
Five steps, no surprises.
- 01
Submit application
Fill the application form — takes about 10 minutes. Tell us what you want to build.
- 02
Screening review
We read every application. If there's a fit, we reach out within a week.
- 03
Technical assessment
A short, relevant task — not a LeetCode gauntlet. We want to see how you think, not how you memorize.
- 04
Interview
A conversation with the lab founder about your interests, goals, and the work you want to do.
- 05
Selection
If it's a fit, we agree on scope, timeline, and start date. No trailing paperwork.
Start with the Engineering Fellowship.
The fellowship is the best entry point — real projects, real mentorship, real impact. Applications are currently open.