Principal Software Engineer, ML Platform

SambaNova is hiring a Principal Software Engineer, ML Platform, to join the SambaStudio team. SambaStudio is a rich platform that enables AI developers to train, deploy, and manage state-of-the-art machine learning models (like GPT) through a rich UI, API, and SDK. 

This individual will be responsible for:

• Collaborate with machine learning scientists, research engineers, hardware accelerator engineers, software engineers, and product managers to operationalize the delivery of foundational models
• Lead cross-functional collaboration and provide mentorship to junior engineers
• 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 to the testing, validation, and monitoring of models in production
• Stay up-to-date with the latest developments in the field of machine learning and identify opportunities to incorporate new techniques and technologies into our solutions
• Stay up-to-date with the latest open-source large language models
  

Basic Qualifications

• Bachelor's or Master’s degree in Computer Science, Statistics, Mathematics, or related field
• 4+ years of experience in software development 
• Basic familiarity with machine learning algorithms and tools (e.g., PyTorch, TensorFlow, Keras)
• This role is on-site/hybrid and requires working in Palo Alto at least three days a week.
  

Additional Required Qualifications

• Strong programming skills in Python, OOP concepts, and experience contributing to production-grade large codebases
• Familiarity with software engineering principles and best practices
• Designing and developing REST and gRPC APIs
• Experience with Docker and Kubernetes
• Experience of tuning and delivering LLMs like GPT, LaMDA, BERT, etc.
  
  

Preferred Qualifications

• Experience with containerization of ML models and deployment of ML models as APIs
• 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
  

Annual Salary Range and Level

The base salary for this position ranges from $170,000.00/year up to $210,000.00/year. This range is based on role, level, and location and reflects the salary target for new hires in the US. Individual pay within the range will depend on a number of factors, including a candidate’s job-related qualifications, skills, competencies, experience, and location.

#LI-RB1