Full-Time

Distinguished Engineer

Machine Learning, Modeling and Tuning

Confirmed live in the last 24 hours

Thousand Eyes

Thousand Eyes

501-1,000 employees

Network performance monitoring and analytics platform

Data & Analytics
Enterprise Software

Compensation Overview

$247.8k - $371.5kAnnually

+ Annual Bonus

Expert

San Francisco, CA, USA

Category
Applied Machine Learning
Deep Learning
AI & Machine Learning
Required Skills
Python
Tensorflow
Pytorch
Requirements
  • 15+ years of software development experience and a minimum of 5 years of direct experience in building and evaluating ML models and delivering large-scale ML products.
  • PhD Preferred
  • Deep experiences 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, expertise spans neural networks including transformer models, Large Language Models, decision trees, and other traditional machine learning models.
  • Fluent in some of these machine learning frameworks such as SKLearn, XGBoost, PyTorch, or Tensorflow.
  • Proficient in Python, skills transform abstract machine learning concepts into robust, efficient, and scalable solutions.
  • A strategic leader, excelling 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.
  • Adept at guiding teams through the orchestration of large, high-impact projects, consistently delivering successful outcomes.
  • 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, creating synergy between business goals and technology innovation.
  • Mastering the entire lifecycle of machine learning, from conceptualization and development to deployment and continual refinement.
Responsibilities
  • Guide and influence a team of AI engineers in designing, implementing and maintaining large-scale AI/ML pipelines including tuning and evaluating LLMs.
  • Lead the team in building evaluation frameworks and metrics while evaluating traditional and transformer-based models and LLMs.

ThousandEyes specializes in monitoring network infrastructure and analyzing internet performance. Its platform operates in the cloud, providing businesses with tools to understand and enhance their digital experiences. By offering visibility into the performance of networks and applications, ThousandEyes enables companies to monitor their digital environments, identify problems, and improve service reliability. The platform maps the global structure of wide-area networks and tracks performance metrics, ensuring that online services function effectively. Unlike many competitors, ThousandEyes focuses on a subscription-based model, allowing clients to access real-time monitoring, outage detection, and performance analytics tailored to their needs. The goal of ThousandEyes is to empower businesses across various sectors, such as finance, healthcare, and retail, to maintain optimal digital performance and thrive in an interconnected world.

Company Stage

Acquired

Total Funding

$107.5M

Headquarters

San Francisco, California

Founded

2010

Growth & Insights
Headcount

6 month growth

4%

1 year growth

8%

2 year growth

39%
Simplify Jobs

Simplify's Take

What believers are saying

  • Being part of Cisco enhances ThousandEyes' market reach and credibility, providing employees with stability and growth opportunities.
  • The continuous innovation, such as the launch of Custom Webhooks and WAN Insights, reflects a dynamic work environment focused on cutting-edge technology.
  • Recognition as a strong performer in The Forrester Wave™ for End-User Experience Management highlights the company's industry leadership and potential for career advancement.

What critics are saying

  • The competitive landscape, including rivals like SolarWinds and Splunk, requires ThousandEyes to continuously innovate to maintain its edge.
  • Integration challenges with Cisco's broader product suite could lead to operational complexities and potential disruptions.

What makes Thousand Eyes unique

  • ThousandEyes' integration with Cisco's extensive networking ecosystem provides a unique advantage in offering comprehensive network visibility and performance analytics.
  • The platform's AI-powered capabilities, such as Digital Experience Assurance (DXA), set it apart by proactively predicting and resolving internet outages.
  • ThousandEyes' focus on real-time monitoring and outage detection ensures that clients can maintain optimal digital performance, a critical need in today's connected world.

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