ML Data Labeling Engineer for Autonomous Networking

Meter; San Francisco (CA); Hybrid; USD 220,000 - 278,000; Full time

Benefits offered by this job

Equity participation

Competitive salary

Job summary

An innovative networking company in San Francisco is seeking a Data Operations Engineer to develop systems that convert network engineering expertise into high-quality training data. This role calls for creativity in prototyping and a passion for user experience, where you'll build effective tools in collaboration with domain experts. Your success will be measured by the network engineering team's ability to generate training data independently. This position offers competitive compensation within a rapidly growing startup environment.

Qualifications

• Experience in designing and building user-friendly tools.
• Ability to prototype quickly and iterate based on feedback.
• Understanding of data operations in engineering contexts.

Responsibilities

• Design and implement labeling tools for network engineers.
• Ship working prototypes and iterate based on learnings.
• Set up metrics to measure tooling effectiveness.

Skills

Prototyping

Data analysis

Communication

Curiosity

Tools

TypeScript

React

GraphQL

AWS

Job description

An innovative networking company in San Francisco is seeking a Data Operations Engineer to develop systems that convert network engineering expertise into high-quality training data. This role calls for creativity in prototyping and a passion for user experience, where you'll build effective tools in collaboration with domain experts. Your success will be measured by the network engineering team's ability to generate training data independently. This position offers competitive compensation within a rapidly growing startup environment.