ML Engineer

🕒 May 28

🏄 California – Remote

🏄 California – Remote

💵 $132k - $165k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

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CreatorIQ

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2014

📱 Media

☁️ SaaS

Marketing • Media • SaaS

CreatorIQ is a leading influencer marketing software platform that assists brands across various industries in growing, managing, scaling, and measuring their creator programs. It provides tools for discovering creators, executing campaigns, and optimizing performance with advanced analytics. CreatorIQ is designed to enhance brand engagement by leveraging the power of content and connections with trusted creators and communities. The platform is used by global enterprises, media and sports organizations, and direct-to-consumer brands to track, manage, and maximize their influencer marketing efforts.

📋 Description

• 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

• 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

• 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!).