Lead Machine Learning Engineer
USA - CA - 1200 Grand Central Ave, United States
USD 171K-241K Senior-level Full Time
Tasks
- Build and scale machine learning architectures for latency throughput reliability and cost
- Design and maintain feature pipelines and feature stores
- Develop and deploy production machine learning systems at scale
- Ensure production observability debuggability and explainability
- Lead engineering best practices for code quality system design testing and operational reliability
- Lead machine learning solution design and delivery for advertising use cases
- Manage full machine learning lifecycle from experimentation to production deployment
- Mentor engineers through code reviews design discussions and technical guidance
- Monitor model performance drift bias and system health
- Oversee real time inference and offline training workflows
- Provide machine learning system architecture and modeling technical leadership
Perks/Benefits
- N/A
Skills/Tech-stack
Algorithms | BERT | Cloud Native | Computer Vision | Data Structures | Deep learning | Distributed Systems | Embedding | Feature Engineering | Feature Pipeline | Feature Store | GPT | High Throughput | Hugging Face | Java | Language Models | Language Processing | Large Language Models | Low Latency | Low-Latency Systems | Machine Learning | Model Bias | Model Drift | Model Monitoring | Multimodal | Natural Language | Natural Language Processing | Numerical Optimization | PyTorch | Python | RAG | Retrieval-Augmented Generation | SQL | TensorFlow | Transformer | ViT
Education
Regions
Countries
States
Cities
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