Distinguished ML Engineer - Cisco ThousandEyes (AppliedML / Model Tuning)

Company: Cisco Systems, Inc.
Location: San Francisco
Posted on: January 23, 2025

Job Description:

Application Deadline Extended: Jan 20th 5 PM ET
Who We Are
Cisco ThousandEyes is a Digital Experience Assurance platform that empowers organizations to deliver flawless digital experiences across every network - even the ones they don't own. Powered by AI and an unmatched set of cloud, internet and enterprise network telemetry data, ThousandEyes enables IT teams to proactively detect, diagnose, and remediate issues - before they impact end- user experiences.
ThousandEyes is deeply integrated across the entire Cisco technology portfolio and beyond, helping customers deploy at scale while also delivering AI-powered assurance insights within Cisco's leading Networking, Security, Collaboration, and Observability portfolios.
About The Role
As an AI leader / architect, you will be guiding the ThousandEyes engineering business and senior management on number of technical issues related to our AI/ML roadmap. You will lead industry boards and/or councils as a sought-out expert who influences, develops and defines next-generation technologies with favorable business impact for Cisco's broad product portfolio. The size, diversity, and richness of our data are simply unmatched. The Internet is changing fast, and we are too. This role will lead the team that drives an effective engineering ecosystem strategy for Cisco across multiple strategic domains including standards, open-source, research, and intellectual property from an AI standpoint.
What You'll Do
You will guide and influence a team of AI engineers in designing, implementing and maintaining large-scale AI/ML pipelines including tuning and evaluating LLMs. You will lead the team in building evaluation frameworks and metrics while evaluating traditional and transformer-based models and LLMs. You will also be responsible for influencing and guiding data collection design, data engineering, feature engineering.
Minimum Qualifications

• Proven experience using AI/ML technologies to influence product direction, user experiences, and ML/LLM lifecycle infrastructures. You will have experience in translating ambiguous product problems and challenges into clear AI/ML-based solutions.
• Demonstrable experience with the entire lifecycle of machine learning, from conceptualization and development to deployment and continual refinement.
• Proficient in Python, in transforming abstract ML concepts into robust, efficient, and scalable solutions.
• Fluent in some of these machine learning frameworks such as SKLearn, XGBoost, PyTorch, or Tensorflow, and can leverage code as a strategic tool to shape innovative solutions.
• Bachelor's +17 years or Master's +14 years or PhD +10 years or an equivalent direct industry experience in building and evaluating ML models and delivering large-scale ML products.
  Preferred Qualifications
  
• As a strategic leader, you'll excel in making critical technical decisions, shaping roadmaps and visions that drive the success of transformative machine learning projects in application to the Network Assurance Roadmap.
• PhD Preferred.
• Proficient in crafting machine learning models, your expertise spans neural networks including transformer models, Large Language Models, decision trees, and other traditional machine learning models, translating conceptual ideas into actual solutions.
• Adept at guiding teams through the orchestration of large, high-impact projects, you will consistently deliver successful outcomes.
• You'll bring forth a successful track record of navigating the complexities of large-scale production environments, ensuring the seamless integration of machine learning models into internet-scale services.
• Proficient in harmonizing the efforts of cross-functional teams, including researchers, data scientists, and machine learning infrastructure teams, they create synergy between business goals and technology innovation.
  Why Cisco
  The Internet of Everything is a phenomenon driving new opportunities for Cisco and it's redefining our customers' businesses worldwide. We are pioneers and have been since the early days of connectivity. Today, we are building teams that are expanding our technology solutions in the mobile, cloud, security, IT, including software and consulting services. As Cisco delivers the network that powers the Internet, we are connecting the unconnected. Imagine creating unprecedented disruption. Your revolutionary ideas will impact everything from retail, healthcare, and entertainment to public and private sectors, and far beyond. Collaborate with like-minded innovators in a fun and flexible culture that has earned Cisco global recognition as a Great Place to work. With roughly 10 billion connected things in the world now and over 50 billion estimated in the future, your career has exponential possibilities at Cisco.
  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. A passion for technology and world changing? Be you, with us!
  We offer extensive employee benefits including 20 days of PTO, 10 paid volunteering days, paid birthday off, 401k match with NO vesting, generous health/dental/vision benefits and much more.
  We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
  #wearecisco

Keywords: Cisco Systems, Inc., Santa Rosa , Distinguished ML Engineer - Cisco ThousandEyes (AppliedML / Model Tuning), Engineering , San Francisco, California