Working at SambaNova

This role presents a unique opportunity to shape the future of AI and the value it can unlock across every aspect of an organization business and operations, including the opportunity to work on cutting edge foundational ML models that solve real world problems. You will get the opportunity to work with a global team of talented data scientists and engineers who are delivering scalable and reliable ML models to enterprises and making a significant impact on their businesses. 

Job Description 

SambaNova is hiring a Senior Software engineer - ML Infra for our flagship product, Sambanova Suite, a full-stack AI platform for enterprises.  

This individual will be responsible for:

• Collaborate with data scientists, hardware accelerator engineers, software engineers & product managers to operationalise the delivery of foundational models.
• Standardize model building and usage process by defining right interfaces and building services to manage ML model lifecycle.
• Build and maintain pipelines for model building, tuning, validation, packaging and delivery
• Build pipelines for data collection, cleansing, processing, feature extraction etc.
• Contribute in testing, validation and monitoring of models in production.
• Stay up-to-date with the latest developments in the field of AI and ML and identify opportunities to incorporate new techniques and technologies into our solutions. 

Basic Qualifications

• Bachelor's or Master’s degree in Computer Science, Statistics, Mathematics, or a related field.
• Proficiency in CS fundamentals including computer architecture and operating systems.
• Strong programming skills in Python, OOPS concepts and experience of contributing to large codebases.
• Knowledge of machine learning algorithms and tools such as PyTorch, TensorFlow, and Keras, with a focus on deep learning for NLP/CV applications.

Additional Required Qualifications

• Experience with computer architecture, hardware accelerators design.
• Familiarity with software engineering principles and best practices.
• Experience with containerization of ML models and deployment of ML models as APIs using tools such as Docker and Kubernetes.

Preferred Qualifications

• Experience working in a high-growth startup
• A team player who demonstrates humility
• Action-oriented with a focus on speed & results
• Ability to thrive in a no-boundaries culture & make an impact on innovation