Full-Time

Machine Learning Engineer

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

$152.1k - $165.9kAnnually

+ Annual Bonus

Junior, Mid

Seattle, WA, USA + 2 more

More locations: San Francisco, CA, USA | Austin, TX, USA

Category
Applied Machine Learning
Deep Learning
AI & Machine Learning
Required Skills
Python
Tensorflow
Pytorch
Requirements
  • 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.
Responsibilities
  • 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.

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 online services, identify issues, and improve reliability. The platform maps the global topology of wide-area networks and measures performance metrics, ensuring that services run smoothly. Unlike many competitors, ThousandEyes focuses on comprehensive internet visibility and offers a subscription-based model that includes real-time monitoring, outage detection, and performance analytics. The goal of ThousandEyes is to help enterprises across various sectors, such as finance, healthcare, and retail, maintain optimal digital performance and thrive in a connected world.

Company Stage

Acquired

Total Funding

$107.5M

Headquarters

San Francisco, California

Founded

2010

Growth & Insights
Headcount

6 month growth

3%

1 year growth

9%

2 year growth

36%
Simplify Jobs

Simplify's Take

What believers are saying

  • AI-driven predictive analytics reduce downtime and improve user experience.
  • Digital Experience Assurance provides a competitive edge with advanced AI capabilities.
  • Custom Webhooks feature enhances flexibility and responsiveness of network monitoring solutions.

What critics are saying

  • Increased EU regulatory scrutiny could impact operations and client relationships.
  • AI-powered capabilities may face adoption challenges due to AI reliability concerns.
  • Integration into Cisco's strategy may lead to resource allocation conflicts.

What makes Thousand Eyes unique

  • ThousandEyes offers unmatched visibility into global internet performance for superior digital experiences.
  • The platform's AI-driven analytics predict and resolve network issues proactively.
  • Integration with Cisco's Networking Cloud enhances network management and visibility.

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