drjobs Principal Machine Learning Engineer SQL - RAG Systems

Principal Machine Learning Engineer SQL - RAG Systems

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1 Vacancy
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Job Location drjobs

Santa Clara County, CA - USA

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Your Career

We are seeking a highly skilled Principal Machine Learning Engineer with expertise in advanced ML techniques data analytics and the design and deployment of highperformance RetrievalAugmented Generation (RAG) systems. This role is ideal for someone passionate about leveraging machine learning to solve complex problems at scale.

Your Impact

  • Design and implement cuttingedge machine learning models for RAG systems with a focus on scalability and realworld application performance
  • Develop algorithms to optimize retrieval inference and response quality including reranking techniques
  • Collaborate on projects involving NLP Recommender Systems and large language models (LLMs)
  • Work with opensource agent frameworks like LangChain LLamaIndex or Langgraph for advanced AI solutions
  • Design and manage scalable database solutions (SQL OLAP OTAP) to support highperformance analytics
  • Finetune ML models and implement formal methods toolchains when necessary
  • Communicate effectively across teams influencing stakeholders at all organizational levels

Qualifications :

Your Experience 

  • 8 years of industry experience in machine learning data analytics and software engineering
  • Strong expertise in Python PyTorch TensorFlow and foundational computer science concepts (algorithms data structures system design)
  • Familiarity with vector search technologies and frameworks in RAG systems
  • Proficiency with SQL databases and experience handling performance scalability and optimization challenges
  • M.S. or Ph.D. in Computer Science Mathematics Electrical Engineering or a related field (or equivalent military experience) 

Preferred

  • Proven experience designing and deploying RAG systems for realworld use cases
  • Indepth understanding of retrieval optimization reranking algorithms and model finetuning techniques
  • Strong background in NLP recommender systems and working with LLMs
  • Excellent teamwork and communication skills with the ability to work effectively as both a selfdriven individual contributor and team player


Additional Information :

The Team

Our engineering team is at the core of our products connected directly to the mission of preventing cyberattacks. We are constantly innovating challenging the way we and the industry think about cybersecurity. Our engineers dont shy away from building products to solve problems no one has pursued before.

We define the industry instead of waiting for directions. We need individuals who feel comfortable in ambiguity excited by the prospect of a challenge and empowered by the unknown risks facing our everyday lives that are only enabled by a secure digital environment.

Compensation Disclosure

The compensation offered for this position will depend on qualifications experience and work location. For candidates who receive an offer at the posted level the starting base salary (for nonsales roles) or base salary commission target (for sales/commissioned roles) is expected to be between $151000 $246500/ YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here.

Our Commitment

Were problem solvers that take risks and challenge cybersecuritys status quo. Its simple: we cant accomplish our mission without diverse teams innovating together.

We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need please contact us at  .

Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace and all qualified applicants will receive consideration for employment without regard to age ancestry color family or medical care leave gender identity or expression genetic information marital status medical condition national origin physical or mental disability political affiliation protected veteran status race religion sex (including pregnancy) sexual orientation or other legally protected characteristics.

All your information will be kept confidential according to EEO guidelines.

Is role eligible for Immigration Sponsorship: Yes


Remote Work :

No


Employment Type :

Fulltime

Employment Type

Full-time

Department / Functional Area

Engineering

About Company

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