Lead Machine Learning Engineer
USA - CA - 1200 Grand Central Ave, United States
USD 171K-241K Senior-level Full Time
Tasks
- Apply best practices for code quality system design testing and operational reliability
- Apply modern machine learning techniques to real time advertising problems
- Design build and maintain feature pipelines and feature stores
- Design build and scale ML architectures for quality latency throughput reliability and cost
- Ensure ML systems are observable debuggable and explainable in production
- Establish monitoring for model performance drift bias and system health
- Interpret experimental results and guide data informed decision making
- Lead design and delivery of machine learning solutions for advertising use cases
- Mentor engineers through code reviews and design discussions
- Oversee ML lifecycle from experimentation to production deployment
- Provide ML system architecture and production readiness guidance
- Translate requirements into technical plans and measurable outcomes
Perks/Benefits
Skills/Tech-stack
Algorithms | BERT | Bias detection | Cloud Computing | Data Pipelines | Data Structures | Deep learning | Distributed Systems | Drift Detection | Feature Engineering | Feature Store | GPT | High Throughput | High-Throughput Systems | Hugging Face | Java | Language Models | Large Language Models | Low Latency | Low-Latency Systems | Machine Learning | Microservices | Model Drift | Model Drift Detection | Model Monitoring | Multimodal | NLP | Numerical Optimization | PyTorch | Python | RAG | Retrieval-Augmented Generation | SQL | TensorFlow | Transformers | Vision
Education
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