ThousandEyes (part of Cisco)
Machine Learning Engineer, Modeling and Tuning
ThousandEyes (part of Cisco), Seattle, Washington, us, 98127
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 Engineer on the AI/ML team, you will be responsible for training and tuning the models and performing model evaluations using Deep Learning Machine Learning (AI/ML) Models, and Large Language Models. In this role, you will also be working on 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.What You’ll Do
You will work with a team of AI engineers to design, implement, and maintain large-scale AI/ML pipelines, including tuning and evaluating LLMs. You will be building evaluation frameworks and metrics and evaluating Deep Learning and transformer-based models and LLMs.Qualifications
1 - 3 years of software development experience and a minimum of 2 internships with direct experience in building and evaluating ML models and delivering large-scale ML products.MS or PhD in a relevant field.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.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.You will be proficient in Python and will be able to transform abstract machine learning concepts into robust, efficient, and scalable solutions.Cisco values the perspectives and skills that emerge from employees with diverse backgrounds. That's why Cisco is expanding the boundaries of discovering top talent by not only focusing on candidates with educational degrees and experience but also placing more emphasis on unlocking potential. We believe that everyone has something to offer and that diverse teams are better equipped to solve problems, innovate, and create a positive impact.We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification. Research shows that people from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy. We urge you not to prematurely exclude yourself and to apply if you're interested in this work.Cisco is an Affirmative Action and Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis. Cisco will consider for employment, on a case by case basis, qualified applicants with arrest and conviction records.
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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 Engineer on the AI/ML team, you will be responsible for training and tuning the models and performing model evaluations using Deep Learning Machine Learning (AI/ML) Models, and Large Language Models. In this role, you will also be working on 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.What You’ll Do
You will work with a team of AI engineers to design, implement, and maintain large-scale AI/ML pipelines, including tuning and evaluating LLMs. You will be building evaluation frameworks and metrics and evaluating Deep Learning and transformer-based models and LLMs.Qualifications
1 - 3 years of software development experience and a minimum of 2 internships with direct experience in building and evaluating ML models and delivering large-scale ML products.MS or PhD in a relevant field.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.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.You will be proficient in Python and will be able to transform abstract machine learning concepts into robust, efficient, and scalable solutions.Cisco values the perspectives and skills that emerge from employees with diverse backgrounds. That's why Cisco is expanding the boundaries of discovering top talent by not only focusing on candidates with educational degrees and experience but also placing more emphasis on unlocking potential. We believe that everyone has something to offer and that diverse teams are better equipped to solve problems, innovate, and create a positive impact.We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification. Research shows that people from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy. We urge you not to prematurely exclude yourself and to apply if you're interested in this work.Cisco is an Affirmative Action and Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis. Cisco will consider for employment, on a case by case basis, qualified applicants with arrest and conviction records.
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