Related skills
llms multimodal-machine-learning๐ Description
- Lead end-to-end ML initiatives from ideation to production.
- Design, deploy ML systems across huge content signals with real-time and batch processing.
- Advance NLP, multimodal AI, and content intelligence; build LLM solutions with prompting.
- Define evaluation methods with gold datasets, precision/recall, offline and online tests.
- Partner with PMs, EMs, staff engineers, and data scientists on strategy.
- Based in New York City with hybrid work options.
๐ฏ Requirements
- Production ML systems experience.
- Large-scale ML architectures on huge datasets.
- Deep ML, DL, and modern AI technologies.
- Hands-on with LLMs; evaluation and deployment.
- NLP, prompt engineering, RAG, and vector databases.
- Mentor and lead; communicate across cross-functional teams.
๐ Benefits
- Health insurance
- Six-month paid parental leave
- 401(k) retirement plan
- Monthly meal allowance
- 23 paid days off
- Paid flexible holidays and sick leave
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