Engineering Manager, Machine Learning & NLP, Input Experience
Tasks
- Build agentic ML product development systems
- Build personalized agent trajectory pipelines
- Collaborate with cross-functional partners
- Create ML playbooks for scale
- Define experimentation and evaluation workflows
- Design data synthesis pipelines
- Develop model training pipelines
- Ensure privacy and performance alignment
- Implement auto evaluation and model probing
- Redefine ML development process
Perks/Benefits
- N/A
Skills/Tech-stack
Data Engineering | Data Synthesis | Dataset curation | Efficient Fine Tuning | Experimentation | Fine Tuning | Human Feedback | LLM Judge | LLM Judge Evaluation | Language Models | Language Processing | Large Language Models | Learning from Human Feedback | MLOps | Machine Learning | Model Evaluation | Model Fine-tuning | Natural Language | Natural Language Processing | Parameter efficient fine-tuning | Programming | Reinforcement Learning | Reinforcement Learning from Human Feedback | Software Engineering | Supervised Fine Tuning | Synthetic data | Tool-Calling
Education
Regions
Countries
States
Cities
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