Forward Deployed Engineer Intern
Forward Deployed Engineer Intern works on client engagements with AI labs, owning data processing scripts, automated quality checks, and validation. Requires strong Python, hands-on LLM experience, analytical skills, and high ownership in a fast-paced hybrid environment.
Responsibilities
- Work alongside a senior FDE on live client engagements, owning specific workstreams end-to-end.
- Write scripts to process, transform, and analyze data for client deliverables.
- Build automated quality checks and serve as a second set of eyes on the data we ship.
- Take ambiguous, partially-defined requirements and turn them into something concrete.
- Read existing code, extend it, and improve it - most of what you build will plug into systems that already exist.
- Drive your work forward without needing daily check-ins. Proactively share progress, flag blockers, and ask for input when you need it.
Requirements
- Strong Python skills, especially for data work. Comfortable picking up a messy dataset and figuring out what is in it.
- Familiarity with LLMs from hands-on experience. Built something with them and iterated on prompts.
- Strong analytical thinking. Spot what is off in data and ask the right questions.
- Strong written and verbal communication. Explain technical work to non-technical stakeholders.
- Finish what you start and see tasks through to the end.
- Fast learner for tools, frameworks, and benchmarks.
- High agency and ownership. Take responsibility and push work forward.
Nice-to-Haves
- Currently pursuing a Bachelor's or Master's in Computer Science, Engineering, Mathematics, or related field.
- Genuinely curious about AI and frontier models.
Compensation
- Paid internship at $50-$70 per hour.
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