Principal Software Engineer, AI/ML

Calix provides cloud and software platforms for communications service providers, aiming to enhance broadband experiences. They are seeking a Principal Software Engineer specializing in AI/ML to design and deploy advanced models for generative tasks, collaborating with cross-functional teams to push the boundaries of generative AI.

Responsibilities:

• Design and Build ML Models: Develop and implement advanced machine learning models (including deep learning architectures) for generative tasks, such as text generation, image synthesis, and other creative AI applications
• Optimize Generative AI Models: Enhance the performance of models like GPT, V AEs, GANs, and Transformer architectures for content generation, making them faster, more efficient, and scalable
• Data Preparation and Management: Preprocess large datasets, handle data augmentation, and create synthetic data to train generative models, ensuring high-quality inputs for model training
• Model Training and Fine-tuning: Train large-scale generative models and fine-tune pre-trained models (e.g., GPT, BERT, DALL-E) for specific use cases, using techniques like transfer learning, prompt engineering, and reinforcement learning
• Performance Evaluation: Evaluate models’ performance using various metrics (accuracy, perplexity, FID, BLEU, etc.), and iterate on the model design to achieve better outcomes
• Collaboration with Research and Engineering Teams: Collaborate with cross-functional teams, including SME, AI researchers, data scientists, and software developers, to integrate ML models into production systems
• Experimentation and Prototyping: Conduct research experiments and build prototypes to test new algorithms, architectures, and generative techniques, translating research breakthroughs into real-world applications
• Deployment and Scaling: Deploy generative models into production environments, ensuring scalability, reliability, and robustness of AI solutions in real-world applications
• Stay Up-to-Date with Trends: Continuously explore the latest trends and advancements in generative AI, machine learning, and deep learning to keep our systems at the cutting edge of innovation

Requirements:

• Education: Bachelor's, Master's, or Ph.D. in Computer Science, Machine Learning, AI, Data Science, or a related field
• Experience: 12+ years in cloud software development and 5+ years specializing in AI and Machine Learning
• Technical Expertise: Generative AI models (e.g., GPT, VAEs, GANs, Transformer architectures)
• Deep learning frameworks: TensorFlow, PyTorch, JAX
• Programming: Python (NumPy, Pandas, Scikit-learn), plus Java, Go, C/C++, R
• NLP, image generation, and multimodal models
• Training and fine-tuning large-scale models (e.g., GPT, BERT, DALL-E)
• Cloud platforms (AWS, GCP, Azure) and ML Ops (Docker, Kubernetes)
• Data engineering and large-scale dataset handling
• SQL and NoSQL databases
• Development Practices: Strong coding standards
• Testing and CI/CD pipelines
• Soft Skills: Ability to mentor and lead system design
• Excellent problem-solving, collaboration, and communication
• Proactive in learning and adopting new AI technologies
• Experience with Reinforcement Learning or Self-Supervised Learning in generative contexts
• Familiarity with distributed training and high-performance computing (HPC) for scaling large models
• Contributions to AI research communities or participation in AI challenges and open-source projects
• Tools: Linux, git, Jupyter, IDE, ML frameworks: Tensorflow, Pytorch, Keras, Scikit-learn
• GenAI: prompt engineering, RAG pipeline, Vector/Graph DB, evaluation frameworks, model safety, and governance