AI Research Scientist

Job Description

About Cisco:

Cisco is a technology company deeply involved in networking solutions. They emphasize the convergence of everything onto the internet, highlighting the significance of networked connections in modern life. Cisco fosters a culture of innovation, encouraging employees to bring creative ideas to fruition and develop impactful solutions. They promote collaboration, mentorship, and a team environment focused on customer care and community engagement. The company prioritizes diversity and inclusion, boasting 30 inclusive communities designed to bring employees together. Cisco’s work impacts various sectors, including healthcare, education, and businesses, connecting people and facilitating access to digital resources globally. Their commitment to social responsibility is evidenced by their provision of 10 days of paid time off annually for volunteer work.

Job Description: AI Research Scientist

This role focuses on advancing AI research to enhance the capabilities of models and agents in several key areas:

• Code generation: Developing AI models that can effectively generate code.
• Networking: Improving network performance and functionality through AI.
• Human-computer interaction: Enhancing the interaction between humans and computers using AI.
• Model safety: Ensuring the safety and reliability of AI models.
• Other strategic areas: Contributing to other areas of AI research determined by Cisco’s strategic needs.

The position involves:

• Researching and building domain-specific foundational representations, particularly those relevant to networking, that can be applied across diverse applications.
• Acting as a thought leader in the global research community through publishing research papers, presenting at conferences, and organizing workshops.
• Working within a newly formed, dynamic AI team, influencing its culture and direction. Collaboration is emphasized, with interactions involving AI experts, networking experts, engineers, product managers, and strategists.

Minimum Qualifications:

• PhD in Computer Science or a related field and 2+ years of industry/academic research experience, OR
• Master’s degree and 6+ years of industry/academic research experience.
• Minimum of 3 publications in top AI venues (ACL, EMNLP, ICLR, ICML, NAACL, NeurIPS).
• Experience working with Machine Learning Models (MLMs) and familiarity with frameworks like TensorFlow or PyTorch.

Preferred Qualifications:

• Experience leading research projects in industry or university settings.
• Interest in combining representation learning and problem-specific properties.
• Experience building and fine-tuning foundation models, including LLMs and multi-modal models, or domain-specific models.
• Ability to stay current on advancements in generative AI, LLMs, and multi-modal models and apply this knowledge to solve business problems.
• Excellent communication and interpersonal skills.
• Experience in an industrial research lab (full-time, internship, or sabbatical).