Data Scientist, Applied AI/ML
Tasks
- Architect research strategy for genAI agents and LLMs
- Co-develop end to end research and development pipelines
- Collaborate with product and engineering teams to deliver product ready models
- Create benchmark and evaluation frameworks
- Design and build LLM driven applications
- Design genAI model architectures
- Develop AI safety solutions
- Develop cyber detection solutions
- Establish best practices and technical standards
- Innovate reasoning summarisation and interactivity
- Mentor and guide data scientists
- Optimize trade offs between accuracy and efficiency
- Select training and deployment strategies
- Source and label data
- Train and evaluate machine learning models
Perks/Benefits
- Competitive vacation and holidays
- Comprehensive wellness programs
- Employee networks
- Great Place to Work certified
- Paid adoption leave
- Paid parental leave
- Paid time off
- Professional development opportunities
- Remote work options
- Volunteer opportunities
Skills/Tech-stack
AI Safety | Benchmarking | Cloud Computing | Data Sourcing | Data labeling | Deep learning | GPU Technologies | GenAI | LLM Training | Language Models | Language Processing | Large Language Models | Machine Learning | Model Evaluation | Model Optimization | Natural Language | Natural Language Processing | Python | Red Teaming | Software Engineering
Education
Roles
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