Sr. Staff, Machine Learning Engineer (Ads Engineering)
Tasks
- Analyze large advertising datasets
- Architect agentic AI systems
- Build autonomous reasoning pipelines
- Define technical roadmaps
- Design multi-agent orchestration
- Design scalable system architecture
- Develop reward based optimization models
- Implement RLAIF
- Implement RLHF
- Implement knowledge distillation
- Implement test automation
- Implement tool usage and planning
- Improve CTR and CVR
- Improve tROAS attainment
- Lead engineering excellence
- Optimize real-time inference
- Perform LLM fine-tuning
- Scale distributed model serving
- Set up CI/CD
- Write technical design documents
Perks/Benefits
- N/A
Skills/Tech-stack
AI Feedback | Agent Orchestration | Agent systems | Agentic AI | Autonomous Reasoning | CI/CD | Distributed inference | Fine Tuning | Human Feedback | Knowledge Distillation | LLM Fine-tuning | Langgraph | Language Models | Large Language Models | Learning from Human Feedback | Machine Learning | Memory systems | Multi-Agent | Multi-Agent Systems | Multi-agent orchestration | Planning | Python | React | Real Time | Real-time Inference | Reinforcement Learning | Reinforcement Learning from AI Feedback | Reinforcement Learning from Human Feedback | Reward Modeling | System design | Test-Driven | Test-Driven Development | Tool use
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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