Machine Learning Scientist II - Gen AI
Tasks
- Collaborate with engineers and product managers
- Develop and fine-tune large language models and vision-language models
- Evaluate new techniques
- Identify impactful research initiatives
- Integrate capabilities into systems
- Scale experiments into production solutions
- Stay updated on LLMs, VLMs, multimodal systems improvements
- Translate research from idea to production
Perks/Benefits
- Culture of learning and growth
- Employee resource groups
- Home security system
- Hybrid work model
- Inclusive environment
Skills/Tech-stack
Agentic AI | Deep learning | Generative model | Generative model evaluation | HuggingFace Transformers | ML Libraries | MLOps | Model Context Protocol | Model Evaluation | Prompt engineering | PyTorch | Python | RAG | Retrieval-Augmented Generation | Scaling experiments | TensorFlow | Transformer Architectures
Education
Artificial Intelligence | Master's | PhD in Computer Science
Regions
Countries
States
Cities
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