Distinguished Engineer, ThousandEyes

Machine Learning, Modeling and Tuning

$247.8-371.5k

+ Annual bonuses

Python

Tensorflow

PyTorch

Expert level

San Francisco Bay Area

1-5 days a week in office

Internet and Cloud Intelligence Platform

Job no longer available

Internet and Cloud Intelligence Platform

501-1000 employees

B2BArtificial IntelligenceEnterpriseBig dataNetworkingMachine LearningSaaSData AnalysisCloud Computing

Job no longer available

$247.8-371.5k

+ Annual bonuses

Python

Tensorflow

PyTorch

Expert level

San Francisco Bay Area

1-5 days a week in office

501-1000 employees

B2BArtificial IntelligenceEnterpriseBig dataNetworkingMachine LearningSaaSData AnalysisCloud Computing

Company mission

ThousandEyes empowers enterprises to see, understand and improve digital experiences for their customers and employees.

Job

Company

Role

Who you are

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
You will have deep experiences using AI/ML system design 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
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
Proficient in Python, their skills transform abstract machine learning concepts into robust, efficient, and scalable solutions
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
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
Mastering the entire lifecycle of machine learning, from conceptualization and development to deployment and continual refinement

What the job involves

As a Distinguished Engineer on the AI/ML team, you will be responsible for guiding the team in training and tuning the models and performing the model evaluations using Deep Learning Machine Learning (AI/ML) Models, and Large Language Models
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
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

Our take

ThousandEyes uses synthetic monitoring probes to measure network performance, allowing IT teams to collate data across network hops while algorithms flag potential sources of disruption like DNS and VoIP exploits, BGP vulnerabilities, and outages.

According to ThousandEyes, what sets it apart from the competition is its ability to monitor operations over third-party datacenters with pre-provisioned infrastructure-as-a-service vantage points.

They're seeing a lot of traction with large companies in the US, with customers like Box, PayPal and Slack. Companies like their products because they deliver mission-critical visibility into every network these companies rely on.

That reputation caused the company to become an acquisition for Cisco in 2020. Now the startup is part of the IT giant, it has benefitted from a multitude of sectors increasing their reliance on digital services and cloud-oriented strategies.

Freddie

Company Specialist at Welcome to the Jungle

Insights

Top investors

23% female employees

39% employee growth in 12 months

Glassdoor (4.7)

Company

Funding (last 2 of 4 rounds)

Feb 2019

$50m

SERIES D

Feb 2016

$35m

SERIES C

Total funding: $110.5m

Company benefits

Medical, dental and vision insurance for you and your family
Charitable gift matching program
Employee Stock Purchase Plan (ESPP)
Retirement Planning
Paid Time Off, Volunteering Time Off, Birthday Day Off and Emergency Time Off
Company-wide year-end shutdown to recharge
Family planning assistance and generous parental leave
Work from home opportunities

Company HQ

Mission Bay, San Francisco, CA

Leadership

Mohit Lad

(CEO)

Previously a Senior Engineer at Nokia. Started career as a researcher in Computer Science at UCLA.

Ricardo Oliveira

(CTO)

Has a PhD in Computer Science from UCLA.

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