MTS - AI/ML Engineer
Description For MTS - AI/ML Engineer
Pure Storage is seeking a Member of Technical Staff (MTS) AI/ML Engineer to join their innovative team in reshaping the data storage industry. This role focuses on developing and implementing cutting-edge generative AI applications, requiring strong expertise in AI/ML technologies and software development. The position involves working with advanced language models, developing custom applications, and solving complex business challenges using generative AI.
The ideal candidate will be at the forefront of GenAI technology adoption, working with tools like Langgraph, Llama Index, and various LLM platforms such as Claude and OpenAI. They will be responsible for developing production-grade applications, implementing evaluation methodologies, and ensuring secure LLM implementations. The role requires a blend of technical expertise in Python, machine learning frameworks, and software engineering practices, along with the ability to collaborate effectively with product teams.
Pure Storage offers an environment that celebrates innovation, supports professional growth, and values teamwork. The company has been recognized as one of Fortune's Best Large Workplaces in the Bay Area and Best Workplaces for Millennials. They provide comprehensive benefits including flexible time off, wellness resources, and company-sponsored events. This is an excellent opportunity for an experienced AI/ML engineer looking to make a significant impact in the data storage industry while working with cutting-edge technology.
Responsibilities For MTS - AI/ML Engineer
- Spearhead the exploration and adoption of cutting-edge GenAI technology
- Develop and deploy custom, production-grade applications using generative AI
- Drive strategic GenAI application development for business operations optimization
- Implement robust LLM evaluation methodologies and best practices
- Address and mitigate LLM security challenges
- Collaborate with product teams to deliver integrated GenAI solutions
Requirements For MTS - AI/ML Engineer
- Strong familiarity with language models (LLMs) and practical experience building applications with LLMs
- Solid understanding of LLM evaluation techniques and prompt management strategies
- Hands-on experience with Langchain, Langgraph, or Llama Index
- Proven experience with Claude, OpenAI, or similar foundational models
- Understanding of systems side of LLMs: inference and serving of open source models
- Familiarity with Python and basic knowledge of software development tools
- Understanding of machine learning concepts and experience with frameworks like TensorFlow or PyTorch
- Knowledge of cloud computing and containerization technologies
- Ability to work with data storage solutions (SQL, NoSQL, Hadoop)
- Knowledge of software engineering practices, including version control and CI/CD
Benefits For MTS - AI/ML Engineer
- Flexible time off
- Wellness resources
- Company-sponsored team events
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