Senior Machine Learning Engineer
Description For Senior Machine Learning Engineer
webAI is pioneering the development of distributed AI infrastructure focused on personalized AI solutions. We're building a revolutionary platform that enables real-time data processing at the edge while ensuring data privacy and security. As a Senior Machine Learning Engineer, you'll be at the forefront of developing state-of-the-art NLP models and Large Language Models (LLMs) that power our innovative platform.
The role offers an exciting opportunity to work with cutting-edge AI technology, specifically focusing on transformer models and language generation. You'll be part of a dynamic team that's pushing the boundaries of what's possible with distributed AI, working on everything from model design and optimization to deployment and scaling.
Your responsibilities will span the entire machine learning lifecycle - from preprocessing data and building models to implementing MLOps practices for production deployment. You'll collaborate with cross-functional teams to integrate these models into the webAI platform, ensuring they meet both technical excellence and business objectives.
The ideal candidate brings deep expertise in NLP and LLMs, with a strong foundation in Python and modern ML frameworks. We're looking for someone who not only has the technical skills but also embodies our core values of Truth, Ownership, Tenacity, and Humility. The position offers comprehensive benefits, including competitive compensation, health benefits, wellness stipends, and flexible work arrangements.
Join us in building the future of AI where data privacy and model efficiency coexist, enabling companies to leverage powerful AI capabilities while maintaining control over their data and intellectual property.
Responsibilities For Senior Machine Learning Engineer
- Design, build, and fine-tune LLMs and NLP models (e.g., GPT, BERT) for tasks like language understanding and generation
- Extend webAI's existing LLM frameworks and libraries, incorporating the latest research in language models
- Preprocess and prepare text datasets for training, including tokenization and feature extraction
- Implement MLOps best practices for deploying scalable, production-level models on cloud platforms
- Collaborate with cross-functional teams to integrate LLM models into the webAI platform
- Stay updated on LLM advancements and apply the latest research to improve model performance
Requirements For Senior Machine Learning Engineer
- 5+ years of experience in machine learning, with a focus on NLP and LLMs
- Bachelor's (Master's preferred) in Computer Science, Machine Learning, or related field
- Expertise in transformer architectures (e.g., GPT, BERT), text preprocessing, and feature engineering
- Proficiency in Python and NLP libraries (Hugging Face, TensorFlow, PyTorch)
- Experience with MLOps tools (MLFlow, Kubeflow, etc.)
- Strong communication skills and passion for learning
Benefits For Senior Machine Learning Engineer
- Competitive salary and performance-based incentives
- Comprehensive health, dental, and vision benefits package
- $200/month Health and Wellness Stipend
- $400/year Continuing Education Credit
- Flexible work week
- Free parking, for in-office employees
- Unlimited PTO
- Parental, Bereavement Leave
- Supplemental Life Insurance
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