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Senior Software Engineer, Ml Platform
Company | SambaNova Systems |
Address | Palo Alto, CA, United States |
Employment type | FULL_TIME |
Salary | |
Category | Computer Hardware Manufacturing |
Expires | 2023-08-12 |
Posted at | 10 months ago |
The third era of AI has arrived, powered by Generative AI. Generative AI is achieving step-function increases in scale, versatility, and accuracy compared to legacy AI technologies, presenting an opportunity for organizations to fundamentally transform their business and operations.
- 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
- Collaborate with machine learning scientists, research engineers, hardware accelerator engineers, software engineers, and product managers to operationalize the delivery of foundational models
- Standardize model building and usage process by defining right interfaces and building services to manage ML model lifecycle
- Contribute to the testing, validation, and monitoring of models in production
- Build pipelines for data collection, cleansing, processing, feature extraction, etc.
- Stay up-to-date with the latest open-source large language models
- Build and maintain pipelines for model building, tuning, validation, packaging and delivery
- 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.
- 4+ years of experience in software development
- Bachelor's or Master’s degree in Computer Science, Statistics, Mathematics, or related field
- Strong programming skills in Python, OOP concepts, and experience contributing to production-grade large codebases
- Familiarity with software engineering principles and best practices
- Experience with Docker and Kubernetes
- Experience of tuning and delivering LLMs like GPT, LaMDA, BERT, etc.
- Experience with containerization of ML models and deployment of ML models as APIs
- Action-oriented with a focus on speed & results
- Ability to thrive in a no-boundaries culture & make an impact on innovation
- A team player who demonstrates humility
- Experience working in a high-growth startup
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