Machine Learning Engineer

Los Angeles, CA; Remote (United States) R

USD 160K-200K Mid-level Full Time

@ C...

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Found 14h ago

Tasks

Build and iterate on RAG pipelines retrieval architectures and semantic search systems
Build and maintain ML models for forecasting anomaly detection classification ranking and optimization
Collaborate with Data Engineering to ensure data quality feature delivery and pipeline reliability
Contribute to engineering rigor and responsible AI development
Deploy and monitor models in production using MLOps tooling
Develop and maintain modular AI agents that automate workflows across CreateOS
Document model design decisions evaluation results and known limitations
Implement CICD automated testing model versioning and observability for ML systems
Implement guardrails evaluation frameworks and safe action boundaries for agentic systems
Instrument models for performance tracking drift detection and continuous improvement
Own the full ML lifecycle from problem framing and data exploration through training evaluation deployment and monitoring
Partner with Analytics and BI to identify engineer and validate features
Translate business problems into well-scoped ML solutions

Perks/Benefits

Skills/Tech-stack

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Machine Learning Engineer

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