Applied Scientist

Tasks

• Apply MLOps practices for production code
• Build and evaluate machine learning models
• Collaborate with product and engineering teams
• Design experiments for ML models
• Develop machine learning and AI solutions
• Develop retrieval-augmented generation systems
• Implement and evaluate large language model solutions
• Translate research into production ready features

Perks/Benefits

• Headspace app access
• Hybrid work model
• Mental health days
• Paid volunteer days
• Retirement savings
• Tuition reimbursement
• Work from anywhere
• Work-life balance policies

Skills/Tech-stack

AWS | Artificial Intelligence | Azure | Deep learning | DeepSpeed | Dense retrieval | GCP | Git | Information Retrieval | JAX | LLM Evaluation | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Natural Language | Natural Language Processing | PyTorch | Python | Retrieval-Augmented Generation | Transformers | Vector Databases | Version control