Company Resume Guide
How to Tailor Your Resume for OpenAI
OpenAI is at the forefront of AI research and product development. Your resume should highlight AI/ML expertise, research contributions, and production-grade AI systems.
Keywords OpenAI Recruiters Look For
Include these keywords in your resume to pass ATS screening and catch recruiter attention:
Tips for Your OpenAI Resume
- ✓Show production AI systems — not just research notebooks
- ✓Highlight LLM experience — fine-tuning, RAG, prompt engineering
- ✓Include research contributions — papers, open-source, benchmarks
- ✓Demonstrate distributed training and inference optimization
- ✓Show AI safety and alignment awareness
Common Mistakes to Avoid
- ×Just listing ML frameworks without production experience
- ×No LLM or GenAI experience
- ×Missing research or open-source contributions
- ×Vague about model evaluation and metrics
- ×Not showing scalability or performance work
Example Bullet Points
These examples show the style and format that works well for OpenAI applications:
"Fine-tuned a 70B parameter LLM for domain-specific tasks, improving accuracy by 25% while reducing inference cost by 40%"
"Built a RAG-based system serving 1M+ queries/day with <200ms latency using vector databases and Kubernetes"
"Contributed to open-source AI projects with 10K+ GitHub stars, including model training and evaluation pipelines"
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