Forward Deployed Engineer Intern at Labelbox in San Francisco Bay Area

Summary: Labelbox is a company that builds critical infrastructure for AI development, focusing on data-centric approaches. As a Forward Deployed Engineer Intern, you will work alongside a senior engineer on live client engagements, taking ownership of projects that involve processing and analyzing data to ensure quality for AI models. 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 Required Qualifications: - Strong Python skills, especially for data work. You should be comfortable picking up a messy dataset and figuring out what is in it - Familiarity with LLMs from hands-on experience, not just coursework. You have built something with them and have iterated on prompts to make them do what you want - Strong analytical thinking. You can look at data, spot what is off, and ask the right questions about whether a result is real or noise - Strong written and verbal communication. You can write a clear update, explain technical work to non-technical stakeholders, and ask a well-formed question when you are stuck - You finish what you start. When you take on a task, you see it through to the end - including the parts that are not interesting - Fast learner. The tools, frameworks, and benchmarks you will encounter change quickly. You pick them up without being walked through them - High agency and ownership. You take responsibility for your work, push it forward without being prompted, and flag issues early rather than late - Currently pursuing a Bachelor's or Master's in Computer Science, Engineering, Mathematics, or a related technical field - Genuinely curious about AI and how frontier models are built - You like being the person who turns 'we should look into this' into something concrete - You work independently and communicate generously. You move fast on your own - Receptive to feedback Required Skills: Python, Large language models (LLMs), Data processing, Data analysis, Automated quality checks, Analytical thinking