CreatorIQ
Creator Economy
MLEngineer
Neural analysis suggests this role is
optimal for Mid candidates.
“ML Engineer at CreatorIQ. Skills: ML Systems, Production Deployment, Model Evaluation, LLM Features. Deploy and monitor ML systems. Own the evaluation stack”
What You'll Achieve.
Ensure ML systems work reliably at scale; Continuously evaluated against ground truth; Improve over time; Ship faster
Industry & Context.
Translate fuzzy product problems into measurable AI features
What They're Looking For.
Must Have
4–7 years of professional software or ML engineering experience, 2+ years shipping ML systems to production, comfort with the modern data/ML stack, Hands-on experience deploying and monitoring models in at least one major cloud (AWS or GCP), Production experience with NLP or ML systems, Practical experience with evaluation for ML or LLM systems, Collaborative communicator
Nice to Have
Experience with vector databases or retrieval systems at scale, Experience with managed ML services on AWS (SageMaker) and/or GCP (Vertex AI), Annotation workflow experience (Label Studio, Scale AI, or similar), Familiarity with PII scrubbing patterns and privacy-by-design data handling, Open-source contributions, blog posts, or talks on LLMbedding production work
What You'll Do.
Deploy and monitor ML systems
Own the evaluation stack
Build and maintain vector embeddings ecosystem
Partner with Data Science on annotation workflows
Improve MLOps foundations
Translate product problems into AI features
How You'll Work.
Team & Collaboration
Partner closely with Data Science and Engineering teams; Work well alongside data scientists and engineers; Clearly explain ideas to non-technical stakeholders
Communication Scope
Collaborative communicator; Clearly explain ideas
Full Job Description
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 be a good human — every day. CreatorIQ has earned the title of best companies to work for in multiple programs, including BuiltIn LA and NY. It’s been named a Fastest-Growing Company in North America on the Deloitte Technology Fast 500™ for four years, was named a leader in IDC MarketScape: Worldwide Influencer Marketing Platforms for Large Enterprises in 2025, was named a Leader by The Forrester New Wave™: Influencer Marketing Solutions, and has been consistently recognized by G2 as a Leader, and is rated 5 stars on Influencer MarketingHub. We operate in a flexible work model that combines both in-person and remote work to boost collaboration, enhance innovation, and adapt to individual work styles. We're seeking passionate, innovative minds to join our journey. Be a part of our dynamic team and let's transform the industry together! MACHINE LEARNING ENGINEER, APPLIED AI As a MLE you'll join our Product Innovations team and work across the full applied ML stack - deploying models, building the evaluation systems that tell us whether they actually work, and making the data and infrastructure decisions that turn experimental data science into cost-efficient products. You'll partner closely with our Data Science and Engineering teams on our vector embeddings ecosystem, ground truth pipelines, model evaluation, and the pre/post-processing decisions that determine product quality. This is a production focused role, with some research opportunities. You'll be the engineer who makes sure our ML systems - both traditional NLP and embedding models and our LLM-powered features - work reliably at scale (millions of records per day), are continuously evaluated against ground truth, and i
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