ML Engineer
CreatorIQ · San Francisco
The role
The ML Engineer will be part of the Product Innovations team, responsible for deploying and monitoring ML systems at scale, owning evaluation stacks, and collaborating with Data Science and Engineering. The role emphasizes production experience with NLP, embeddings, and LLMs, as well as MLOps foundations. CreatorIQ offers a flexible hybrid work model.
- Location
- San Francisco
- Work mode
- Hybrid
- Level
- Mid
- Experience
- 4+ yrs
What we know that the posting doesn’t say
- Seen 1 day agostill listed on the employer’s careers page
- Posted 104 days agothe first time we saw it
Experience and education
- 4+ years of relevant experience
Key skills
- python
- aws
- gcp
- nlp
- ml systems
- classification
- ner
- embeddings
- ranking
- similarity
- llm
- evaluation
- golden datasets
- model-as-a-judge
- precision/recall
- mlops
- versioning
- observability
- drift detection
- vector databases
- retrieval systems
- sagemaker
- vertex ai
- annotation workflows
CreatorIQ is the operating system for creator-led growth trusted by more than 1,300 global brands and agencies. We’re on a mission to make businesses more human, and humans more impactful. We operate by our values — be intentional, pursue excellence every day, embrace the journey together, and b…
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