Tech Lead, Machine Learning Engineer - Global E-Commerce (Conversational AI)
Tasks
- Build observability tracing and analytics
- Create design documents
- Design core abstractions
- Drive cross-team alignment
- Implement rollback for regressions
- Lead and develop engineers
- Own multi quarter roadmap
- Set technical direction
- Ship high ROI experiments
- Write production load bearing code
Perks/Benefits
- N/A
Skills/Tech-stack
AI Feedback | Agent systems | Context engineering | Deep learning | DeepSpeed | FSDP | Fine Tuning | Human Agreement Calibration | Human Feedback | KV cache | Knowledge Distillation | LLM-as-a-Judge | Language Models | Language Processing | Large Language Models | Learning from Human Feedback | Long Context | Long Context Training | Low Latency | Low-Latency Systems | Machine Learning | Megatron | Memory systems | Mixture of Experts | Model Evaluation | Model Fine-tuning | Multi Tenant Serving | Multi-node | Multi-node Training | Multi-tenant | Natural Language | Natural Language Processing | Observability | Parallel Tool Use | Preference data | Prompt Caching | Python | Quantization aware training | Reinforcement Learning | Reinforcement Learning from AI Feedback | Reinforcement Learning from Human Feedback | Retrieval-Augmented Generation | Reward Modeling | Speculative decoding | TensorRT-LLM | Tool use | Tracing | VLLM
Education
Roles
Engineer | Lead | Learning Engineer | ML Engineer | Machine Learning Engineer | Tech Lead
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