Note: The job is a remote job and is open to candidates in USA. Noble Cortex is a family office-backed venture focused on empowering visionary entrepreneurs to create transformative AI projects. They are seeking an Experienced Machine Learning Engineer with specialized expertise in speech recognition and Large Language Model (LLM) fine-tuning to work on cutting-edge AI projects that push the boundaries of communication technologies.
Responsibilities
- Develop Speech Recognition Models: Design, build, and fine-tune speech recognition models using the latest advancements in deep learning and AI
- Fine-tune LLMs: Leverage state-of-the-art techniques like LoRA to fine-tune large language models to domain-specific tasks and optimize model performance
- LLM Scaling & Optimization: Tackle challenges in model scaling, memory efficiency, and performance optimization for real-time applications
- Domain Adaptation: Use transfer learning techniques to adapt general LLMs to specific domains or tasks, such as fine-tuning for specific dialogue systems, NLP tasks, or industry-specific applications
- Collaborative Problem-Solving: Work with cross-functional teams to integrate AI models into production environments and ensure real-world effectiveness
Skills
- Deep knowledge of transformer-based architectures (e.g., GPT, BERT, T5, LLaMA), with a focus on model pre-training, fine-tuning, and optimization
- Hands-on experience with LLM fine-tuning, LoRA, parameter-efficient tuning, and techniques for improving generalization and task adaptation
- Experience in speech recognition systems, including ASR models and audio processing techniques
- Strong familiarity with real-time optimization techniques and the challenges of deploying LLMs in low-latency environments
- Comfort with experiment tracking and hyperparameter tuning for training large models at scale
- Working with LLMs beyond traditional fine-tuning, such as RLHF or using techniques to align models with human preferences
- Practical experience with distributed training and fine-tuning frameworks like Hugging Face Transformers, DeepSpeed, Accelerate, or Megatron-LM
- Knowledge of data-efficient training methods, including few-shot learning, zero-shot learning, and active learning
Benefits
- Unlimited PTO
- Remote work flexibility
- A schedule that adapts to you
- Competitive salaries
- A 401K match
- Healthcare
- Maternity/paternity leave
- Work-life balance through benefits that support you both at work and at home
- 401K matching
- Maternity and paternity leave
- Comprehensive health benefits that cover you and your family
- Flexible schedule
- Remote work policies
- Flexible hours
Company Overview