Job Description
Are you ready to shape the future of technology?
Vertex Dynamics is a premier AI research lab seeking a visionary Senior AI Engineer to lead our next-generation LLM initiatives. If you are passionate about pushing the boundaries of what's possible with artificial intelligence and want to work in a high-performance, remote-first culture, we want to meet you.
About the Role:
In this pivotal position, you will design, train, and deploy cutting-edge machine learning models that redefine user experiences. You will work closely with product leaders and data scientists to transform complex data into intelligent, scalable solutions.
Why Join Us?
- Competitive equity package and performance bonuses.
- Unlimited PTO and comprehensive health coverage.
- Access to state-of-the-art computing infrastructure.
- A culture of innovation and continuous learning.
Responsibilities
- Model Development: Design and implement state-of-the-art deep learning architectures, specifically focusing on Transformers and Large Language Models (LLMs).
- Optimization: Optimize existing models for inference speed and memory efficiency to ensure seamless production deployment.
- Research & Innovation: Conduct cutting-edge research to explore new techniques in NLP, Computer Vision, or Reinforcement Learning.
- Collaboration: Partner with software engineering teams to integrate AI models into robust, scalable applications.
- Mentorship: Guide junior engineers and data scientists, fostering a culture of technical excellence and knowledge sharing.
- Deployment: Manage the full lifecycle of ML models, including MLOps pipelines, versioning, and monitoring.
- Documentation: Create detailed technical documentation and white papers to communicate complex concepts to stakeholders.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, or a related field (PhD preferred).
- Experience: 5+ years of professional experience in AI/ML engineering, with a focus on Natural Language Processing.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and Hugging Face Transformers.
- Cloud Expertise: Strong experience deploying models on cloud platforms (AWS, GCP, or Azure).
- Problem Solving: Demonstrated ability to tackle complex mathematical and algorithmic challenges.
- Communication: Excellent verbal and written communication skills with the ability to translate technical jargon for diverse audiences.
- Tools: Familiarity with MLOps tools (Docker, Kubernetes, MLflow, SageMaker).