Principal AI/ML Research Engineer
California - Remote Office, United States
R
USD 250K-289K Senior-level Full Time
Tasks
- Build payment foundation models with transformers
- Build rapid prototyping pipelines for ML architectures
- Create AI agent evaluation methodologies
- Define AI research roadmap and OKRs
- Design self supervised pretraining strategies
- Develop AI agent feedback and self learning frameworks
- Ensure responsible and secure AI deployment
- Establish benchmarking and evaluation protocols
- Optimize model performance, latency, and cost
- Prototype generative AI systems
- Provide technical mentorship and code and math reviews
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Amazon SageMaker | Anomaly Detection | Azure | Databricks | DeepSpeed | Diffusion | Fairness | Graph Algorithms | JAX | LanceDB | Language Models | Large Language Models | LoRA | MLflow | Megatron | Milvus | Multimodal Learning | PEFT | Pinecone | Prompt engineering | PyTorch | Python | Qdrant | RAG | RLHF | Ray | Reinforcement Learning | Retrieval-Augmented Generation | Self-Supervised Learning | Self-supervised | Series forecasting | Spark | Supervised Learning | TensorFlow | Time Series | Time Series Forecasting | Transformers | Vector Databases | XAI
Education
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