Lead Machine Learning Engineer
USA - CA - 1200 Grand Central Ave, United States
USD 171K-241K Senior-level Full Time
Tasks
- Apply machine learning techniques to real time advertising problems
- Champion engineering best practices for code quality testing and operational reliability
- Design and maintain feature pipelines and feature stores
- Design build and scale machine learning architectures for latency throughput reliability and cost
- Ensure machine learning systems are observable debuggable and explainable
- 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 technical guidance
- Oversee machine learning lifecycle from experimentation to production deployment
- Partner with product and engineering to translate requirements into technical plans
- Provide technical leadership for machine learning system architecture and modeling approaches
Perks/Benefits
Skills/Tech-stack
Algorithms | BERT | Bias Measurement | Cloud Native | Computer Vision | Data Structures | Deep learning | Distributed Systems | Explainable AI | Feature Engineering | Feature Pipelines | Feature Stores | GPT | High Throughput | High-Throughput Systems | Hugging Face | Java | Language Models | Large Language Models | Low Latency | Low-Latency Systems | Machine Learning | Microservices | Model Deployment | Model Drift | Model Observability | NLP | Numerical Optimization | PyTorch | Python | RAG | Retrieval-Augmented Generation | SQL | System monitoring | TensorFlow | Transformers
Education
Regions
Countries
States
Cities
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