Distinguished Engineer, Machine Learning (Modeling and Tuning)

About the position

As a Distinguished Engineer on the AI/ML team, you will be responsible for guiding the team in training and tuning the Deep Neural Models and performing the model evaluations. In this role, you will also be responsible for influencing data collection design, data engineering, feature engineering, and eval frameworks. The size, diversity, and richness of our data are simply unmatched. The Internet is changing fast, and we are too. The objective of this initiative is to adopt a highly novel and ambitious approach for optimizing networks to better serve applications.

Responsibilities

• Guide and influence a team of AI engineers in designing, implementing, and maintaining large-scale AI/ML models.
• Tune and evaluate Deep Neural Networks, Graph Neural Networks, Transformer Models, and fine-tune/continuously pre-train SLMs.
• Lead the team in building evaluation frameworks and metrics while evaluating traditional and transformer-based models and LLMs.

Requirements

• 15+ years of software development experience.
• Minimum of 5 years of direct experience in building and evaluating ML models and delivering large-scale ML products.
• PhD in CS or Mathematics or Statistics preferred.
• Deep experience using AI/ML system design to influence product direction, user experiences, and ML/LLM lifecycle infrastructures.
• Experience in translating ambiguous product problems and challenges into clear AI/ML-based solutions.
• Proficient in crafting machine learning models, including deep neural networks, Transformer Models, Large Language Models, and Graph Neural Models.
• Fluent in coding machine learning frameworks such as SKLearn, PyTorch, JAX, Tensorflow.
• Proficient in Python, skilled in transforming abstract machine learning concepts into robust, efficient, and scalable solutions.
• Successful track record of navigating the complexities of large-scale production environments for models.
• Proficient in harmonizing the efforts of cross-functional teams, including researchers, data scientists, and machine learning infrastructure teams.

Benefits

• Quality medical, dental and vision insurance.
• 401(k) plan with a Cisco matching contribution.
• Short and long-term disability coverage.
• Basic life insurance.
• Numerous wellbeing offerings.
• Up to twelve paid holidays per calendar year, including one floating holiday and a day off for birthday.
• Accrual of up to 20 days of Paid Time Off (PTO) each year.
• Access to paid time away for critical or emergency issues without tapping into PTO.
• Additional paid time to volunteer and give back to the community.
• Employee Stock Purchase Program.