ML Engineer

CreatorIQ

Machine Learning Engineer at CreatorIQ working on the full applied ML stack. Deploying models and building systems for production-focused ML features for global brands.

Posted 5/28/2026full-timeRemote • California • 🇺🇸 United StatesMid-LevelSenior💰 $132,000 - $165,000 per yearWebsite

Tech Stack

Tools & technologies

AWSCloudGoogle Cloud PlatformPython

About the role

Key responsibilities & impact

Deploy and monitor ML systems in production, from classical NLP and embedding models to LLM-powered features
Own the evaluation stack - golden datasets, "model-as-a-judge" frameworks, inter-annotator agreement, and regression tests that gate releases
Build and maintain our vector embeddings ecosystem and the retrieval, classification, and similarity patterns that sit on top of it
Partner with Data Science on annotation workflows, PII scrubbing, and ground-truth pipelines
Improve our MLOps foundations - versioning, observability, drift detection
Translate fuzzy product problems into measurable AI features with clear success criteria

Requirements

What you’ll need

4–7 years of professional software or ML engineering experience, including 2+ years shipping ML systems to production
Strong Python; comfort with the modern data/ML stack
Hands-on experience deploying and monitoring models in at least one major cloud (AWS or GCP); willingness to learn the other
Production experience with NLP or ML systems - classification, NER, embeddings, ranking, similarity, or LLM-powered features
Practical experience with evaluation for ML or LLM systems - golden datasets, model-as-a-judge, IAA, precision/recall, or equivalent.
Collaborative communicator - you work well alongside data scientists and engineers, and can clearly explain ideas, requirements, and tradeoffs to non-technical stakeholders.

Benefits

Comp & perks

People: work with talented, collaborative, and friendly people who love what they do.
Guidance: utilize our learning platform to fully get the training and tools you’ll need to become successful here from your first day with us.
Surprise meal stipends: work from home can’t stop the enjoyment of someone else making a meal for you!
Work/life harmony: 15 days vacation, floating and set holidays, wellness allowance, and paid parental leave.
Whole Health Package: medical, dental, vision, life, disability insurance, and more.
Savings: a 401k (USA) plan to help you plan ahead.
Work from home stipend: to assist you in setting up a home office that works for you (or buy a new dog leash - your choice!).

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonML engineeringNLPembeddingsclassificationNERLLMMLOpsevaluation for MLdrift detection

Soft Skills

collaborative communicatorclear explanation of ideasrequirements communicationtradeoff discussion