Hybrid Staff Software Engineer – AI/ML

at Calix

• Job title: Staff Software Engineer – AI/ML
• Job type: Full Time
• Experience level: Lead
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: AWS, Azure, Cloud, Docker, Google Cloud Platform, Java, Kubernetes, Numpy, Pandas, Python, PyTorch, Scikit-Learn, SQL, Tensorflow, Go
• Location requirements: Hybrid, Bangalore, India

About the role

• Senior Software Engineer, AI/ML at Calix developing advanced AI models for content generation and data synthesis. Collaborate across teams to innovate in machine learning and AI technologies.

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 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

• Bachelor’s, Master’s, or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, Data Science, or a related field.
• 8+ years of overall software engineering in production.
• 3-5+ years of focus on Machine Learning.
• Proven experience with generative AI models such as GPT, V AEs, GANs, or Transformer architectures.
• Strong hands-on experience with deep learning frameworks such as TensorFlow, PyTorch, or JAX.
• Strong coding experience in Python, Java, Go, C/C++, R.
• Expertise in Python and libraries such as NumPy, Pandas, and Scikit-learn.
• Experience with Natural Language Processing (NLP), image generation, or multimodal models.
• Familiarity with training and fine-tuning large-scale models (e.g., GPT, BERT, DALL-E).
• Knowledge of cloud platforms (AWS, GCP, Azure) and ML ops pipelines (e.g., Docker, Kubernetes) for deploying machine learning models.
• Strong background in data manipulation, data engineering, and working with large datasets.
• Good data skills - SQL, Pandas, exposure to various SQL and non-SQL databases.
• Solid development experience with dev cycle on Testing and CICD.
• Strong problem-solving abilities and attention to detail.
• Excellent collaboration and communication skills to work effectively within a multidisciplinary team.
• Proactive approach to learning and exploring new AI technologies.

Benefits

• Flexible hybrid work model - work from Bangalore office for 20 days in a quarter