FA
$175,000 – $260,000
Listed on Fiddler AI’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
A machine learning research and engineering role focused on building and deploying production-grade safety and quality classifiers for large language models and AI agents. This position suits experienced AI practitioners who thrive on translating research into hardened systems while mentoring others and maintaining close partnerships with enterprise customers.
Our summary, not Fiddler AI’s wording. The full posting is on their site.
Skills this role names
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What they ask for
Required
- 7+ years of applied AI experience with models in production
- Experience with LLM or agentic evaluations and guardrailing
- Expertise training classifier models including encoder architectures and LLM-as-classifier approaches
- Hands-on dataset development: sourcing, labeling, synthetic generation, adversarial augmentation
- Applied experience with LLMs and agentic systems
- Proficiency in Python and PyTorch, Hugging Face
- Comfortable working in production environments with backend and platform engineers
- Excellent written and verbal communication
- Ability to work in Palo Alto office 2-3 days per week
Nice to have
- M.S. or Ph.D. in Computer Science, Machine Learning, Statistics, Physics, or related quantitative field
- Published research at top ML or NLP venues (NeurIPS, ICML, ICLR, ACL, EMNLP)
- Experience with RLHF, RLAIF, or preference-based fine-tuning
- Experience with large-scale synthetic data generation pipelines
- Background in AI safety, red-teaming, or adversarial ML
- Experience with enterprise customers in regulated industries