Field Engineer - AI Data Pipelines (TS/SCI)

Scale AI

Omaha (NE)

On-site

USD 181,000 - 227,000

Full time

40 hours ago
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Benefits offered by this job

Health insurance
Equity compensation
Generous PTO
Learning & development stipend
Commuter stipend

Job summary

Scale AI is hiring a Field Engineer to work with federal AI projects and guide customers through building production-grade data pipelines. You will collaborate with Product, Engineering, and Operations to understand use cases and deliver tailored tools and docs that enable long-term success.

The ideal candidate is a generalist software engineer who thrives in a client-facing environment, translating ambiguous problems into practical solutions and coordinating with cross-functional teams.

Qualifications

  • Hands-on technical experience working with clients in a pre- or post-sales capacity.
  • Development experience with Python, JavaScript, or other modern languages.
  • Strong engineering background in CS, math, or related field.

Responsibilities

  • Build end-to-end data integrations that sync customer data to Scale's platform.
  • Work with customers' engineering teams to optimize data pipelines and APIs.
  • Design and maintain playbooks, tools, docs, and SDKs for long-term success.
  • Resolve technical blockers and own escalations from customers.
  • Own the customer's technical experience throughout their time with Scale.

Skills

Python
JavaScript
Customer-facing
Engineering
Pre/post-sales

Education

BS in CS or related field

Tools

Kubernetes
Helm
Ansible

Job description

Scale AI is hiring a Field Engineer to work with federal AI projects and guide customers through building production-grade data pipelines. You will collaborate with Product, Engineering, and Operations to understand use cases and deliver tailored tools and docs that enable long-term success.

The ideal candidate is a generalist software engineer who thrives in a client-facing environment, translating ambiguous problems into practical solutions and coordinating with cross-functional teams.

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