Applied Machine Learning Researcher

Tasks

• Analyze production conversations to identify limitations and failure patterns
• Build and maintain model evaluation frameworks
• Compare model architectures prompts training techniques and datasets
• Contribute to model release standards evaluation benchmarks and quality criteria
• Deploy research advancements to production systems
• Design execute and analyze fine tuning experiments
• Develop data strategies for curation labeling and synthetic data generation
• Improve large language model behavior for real time voice interactions
• Investigate model regressions and communicate outcomes

Perks/Benefits

• Fully remote
• High ownership role
• In-person gatherings
• Opportunities for growth
• Remote flexibility
• Team collaboration

Skills/Tech-stack

DPO | Data Curation | Data labeling | Evaluation Frameworks | Experimentation | Fine Tuning | Human Feedback | Inference Optimization | Language Models | Large Language Models | Learning from Human Feedback | LoRA | Machine Learning | Model Evaluation | Model Serving | NLP | Prompting | Python | QLoRA | RL algorithms | RLHF | Reinforcement Learning | Reinforcement Learning from Human Feedback | Synthetic data | Training Datasets | VLLM