About the Role
Are you a trailblazer in the world of artificial intelligence? Do you thrive at the intersection of cutting-edge technology and creative problem-solving? We’re on the hunt for a visionary Principal Engineer, Generative AI to join our dynamic team and lead the development of groundbreaking AI models that are set to redefine industries.
As a Principal Engineer in our Generative AI division, you will be at the forefront of building the future of machine learning. You’ll design and develop state-of-the-art AI models that generate realistic content, drive business innovations, and push the boundaries of what’s possible with AI technology.
This role is perfect for someone who is not just passionate about machine learning but also has the expertise to architect scalable solutions and the leadership skills to guide a team of talented engineers.
Key Responsibilities
- Innovate and Lead: Spearhead the development of next-generation generative models in deep learning and AI. Lead research into novel algorithms and architectures to achieve breakthrough results.
- Collaborative Leadership: Work alongside cross-functional teams including data scientists, product managers, and business leaders to integrate generative AI solutions into practical applications.
- Model Design & Optimization: Architect and fine-tune generative models such as GANs, VAEs, and transformers for a variety of use cases across multiple industries.
- Scalable Systems: Design and implement scalable, high-performance systems to deploy and maintain AI models in production environments.
- Mentor and Inspire: Provide technical leadership and mentorship to junior engineers and data scientists, fostering a culture of innovation and continuous learning.
- Stay Ahead of the Curve: Stay up to date with the latest trends in AI research and apply them to solve complex, real-world problems in novel ways.
Required Qualifications
- Expertise in AI & Machine Learning: A deep understanding of generative models, deep learning frameworks (e.g., TensorFlow, PyTorch), and AI methodologies.
- Hands-on Experience: Proven experience in designing, developing, and deploying large-scale AI models, particularly in generative domains (GANs, transformers, etc.).
- Programming Mastery: Proficiency in Python, C++, or similar languages with a strong grasp of AI development libraries.
- Research-Oriented Mindset: A passion for cutting-edge research and the ability to transform academic concepts into practical, scalable applications.
- Leadership Skills: Strong experience leading technical teams and collaborating with various stakeholders in a fast-paced environment.
- Problem-Solving Genius: A proven ability to solve complex engineering and AI problems creatively and efficiently.
Preferred Qualifications
- PhD or advanced degree in Computer Science, AI, Machine Learning, or a related field.
- Published research in reputable AI or ML journals/conferences.
- Experience working with cloud platforms (AWS, Azure, GCP) and distributed computing environments.
- Knowledge of ethical AI practices and an understanding of the societal impact of AI technology.
