AI Machine Learning Engineer PhD (Intern) United States

Applications are accepted until further notice.

Please note this posting is to advertise potential job opportunities. This exact role may not be open today but could open in the near future. When you apply, a Cisco representative may contact you directly if a relevant position opens.

Who You'll Work With

You will join a dynamic engineering team focused on building AI/ML solutions, collaborating closely with platform, security, release engineering, and support teams to deliver the product. Your role includes providing support to ensure its smooth operation.

What You'll Do

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.

Who You Are

You are committed to continuous learning and enjoy adopting tools and technologies that best address the problems you are tackling. You place a high value on building solid relationships with colleagues and are passionate about coaching and mentoring engineers. With strong analytical skills, you excel at interpreting data and have the ability to communicate complex information in a simple, actionable manner.

Minimum Qualifications:

• 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.
  

Preferred Qualifications:

• 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

Why Cisco

#WeAreCisco, where each person is unique, but we bring our talents to work as a team and make a difference powering an inclusive future for all.

We embrace digital, and help our customers implement change in their digital businesses. Some may think we're "old" (40 years strong) and only about hardware, but we're also a software company. And a security company. We even invented an intuitive network that adapts, predicts, learns and protects. No other company can do what we do - you can't put us in a box!

But "Digital Transformation" is an empty buzz phrase without a culture that allows for innovation, creativity, and yes, even failure (if you learn from it.)

Day to day, we focus on the give and take. We give our best, give our egos a break, and give of ourselves (because giving back is built into our DNA.) We take accountability, bold steps, and take difference to heart. Because without diversity of thought and a dedication to equality for all, there is no moving forward.

So, you have colorful hair? Don't care. Tattoos? Show off your ink. Like polka dots? That's cool. Pop culture geek? Many of us are. Passion for technology and world changing? Be you, with us!