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AI Machine Learning Engineer PhD (Intern) United States

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Cisco

1mo ago

  • Internship
    Full-time
    Off-cycle Internship
  • Data
    Software Engineering
  • San Jose

AI generated summary

  • You should have a PhD in a quantitative field, deep learning knowledge, experience with transformers and generative AI, proficiency in backend languages, data science toolkits, and cloud technologies.
  • You will develop, optimize, and validate generative AI applications, design APIs, troubleshoot issues, and document systems for collaboration while staying updated on AI advancements.

Requirements

  • Recently completed or currently enrolled in a PhD program in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field
  • Understanding of Deep Learning Architectures (Transformers, LSTMs, etc.).
  • Experience with Transformer-based models (BERT, GPT, other Large Language models).
  • Proficient in programming languages such as Go/Java, particularly for backend development and integration with data science applications.
  • Proficient with data science toolkits such as Pandas, NumPy, SciPy, and Scikit-learn, and knowledgeable in vector databases like Milvus or Pinecone for AI similarity searches.
  • Skilled in fine-tuning large language models like GPT, BERT, and Llama-2 for domain-specific applications, and experienced with generative AI frameworks including LangChain and RAGs.
  • Practiced in the development and application of GANs (Generative Adversarial Networks) for creative AI solutions.
  • Competent in Time Series Systems, with the ability to perform real-time series analysis and streaming data processing.
  • Well-versed in cloud technologies such as Google AI Platform or AWS for scalable AI deployments, and in-depth knowledge of machine learning algorithms, including generative models.
  • Familiar with big data technologies (e.g., Hadoop, Spark, Kafka) and machine learning frameworks (TensorFlow, PyTorch) for efficient model training and development.
  • Expertise in advanced anomaly detection and pattern recognition within time series data, leveraging insights from complex datasets.

Responsibilities

  • You are responsible for developing and implementing applications based on generative large language models such as GPT-4, Claude, Llama, and their derivatives, ensuring they meet business requirements. Your role includes optimizing these generative AI applications for enhanced performance, scalability, and reliability, as well as conducting red teaming exercises to validate the robustness and precision of the applications. You are expected to stay informed about the latest developments in AI and machine learning, and proactively suggest the adoption of new technologies. You will also design and develop APIs for smooth interaction with AI models. In addition, you will address and resolve any issues that arise from the AI applications. It is part of your duties to create clear and comprehensive documentation for the developed models and systems, making it accessible to both internal teams and external partners.

FAQs

What is the application process for this position?

Applications are accepted until further notice, and this posting is to advertise potential job opportunities. If a relevant position opens, a Cisco representative may contact you directly.

Is this internship role currently available?

This exact role may not be open today, but it could open in the near future.

What type of projects will I be working on as an intern?

You will be responsible for developing and implementing applications based on generative large language models, optimizing these applications, and conducting red teaming exercises, among other tasks.

What qualifications are required for this internship?

You should be recently completed or currently enrolled in a PhD program in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field, as well as have an understanding of deep learning architectures and experience with transformer-based models.

Are there specific programming languages I need to know for this role?

Yes, proficiency in programming languages such as Go or Java is required, particularly for backend development and integration with data science applications.

What are some preferred qualifications for this position?

Preferred qualifications include proficiency with data science toolkits like Pandas and NumPy, skills in fine-tuning large language models, and experience with cloud technologies like Google AI Platform or AWS.

Is there a focus on collaboration in this role?

Yes, you will work closely with platform, security, release engineering, and support teams to deliver products and ensure their smooth operation.

Does Cisco offer any benefits for interns?

Yes, U.S. employees, including interns, have access to quality medical, dental, and vision insurance, a 401(k) plan, and various well-being offerings.

Are there opportunities for mentoring in this role?

Yes, you are encouraged to build solid relationships with colleagues and are expected to coach and mentor other engineers.

Will I be involved in the documentation process for the projects I work on?

Yes, part of your duties includes creating clear and comprehensive documentation for the developed models and systems.

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Cisco

Technology
Industry
10,001+
Employees
1984
Founded Year

Mission & Purpose

Cisco (NASDAQ: CSCO) enables people to make powerful connections--whether in business, education, philanthropy, or creativity. Cisco hardware, software, and service offerings are used to create the Internet solutions that make networks possible--providing easy access to information anywhere, at any time. Cisco was founded in 1984 by a small group of computer scientists from Stanford University. Since the company's inception, Cisco engineers have been leaders in the development of Internet Protocol (IP)-based networking technologies. Today, with more than 71,000 employees worldwide, this tradition of innovation continues with industry-leading products and solutions in the company's core development areas of routing and switching, as well as in advanced technologies such as home networking, IP telephony, optical networking, security, storage area networking, and wireless technology. In addition to its products, Cisco provides a broad range of service offerings, including technical support and advanced services. Cisco sells its products and services, both directly through its own sales force as well as through its channel partners, to large enterprises, commercial businesses, service providers, and consumers.

Benefits

  • Competitive compensation

    Our high-performance culture rewards innovation, collaboration and achievement.

  • Employee stock purchase program

    Purchase Cisco stock at a discount to invest in your financial future and the company's (up to 10% of your salary).

  • Employee discount programs

  • Flexible work practices

  • Generous paid time off + holidays