Field Engineer, Data Engine
Scale AI · Colorado Springs, CO; Omaha, NE; St. Louis, MO; Washington, DC · Washington, DC
CHECKED 13H AGO
Infrastructureonsite$190k–$290k
At a glance
Highlights
- Support government customers by scoping and developing AI solutions.
- Build end-to-end data integrations syncing customer data with Scale's platform.
- Deploy and maintain Scale software directly at secure customer sites.
What they offer
- equity compensation
- comprehensive health, dental and vision coverage
- retirement benefits
- learning and development stipend
- generous PTO
- commuter stipend
Ideal candidate
A mission-driven, adaptable engineer who thrives face-to-face with customers and loves turning complex real-world problems into reliable AI solutions in secure, high-impact environments.
Requirements
- Active Secret clearance and willingness to obtain TS/SCI
- Knowledge of ETL processes and building data pipelines
- Understanding of data modeling, warehousing and governance
- Track record as customer-facing, forward deployed engineer
- Experience developing with Python
- Familiarity with cloud platforms and cloud-native development
- Linux experience including shell scripting
- remote policy
- >50% onsite in secured space
Lab profile
About Scale AI
AI data foundry providing high-quality data for training, fine-tuning, and evaluating AI systems.
What they build
- Training, fine-tuning, and evaluation data for frontier models
- Multimodal and coding data for audio, image, video and world models
- Custom AI applications for enterprise and global public sector
Known for
- Leading data partner for frontier model developers
- Trusted across enterprise, defense and public sector
- Depth in multimodal, coding and physical AI
- End-to-end capability from strategy to delivery and evaluation
Key facts
- Founded in 2016
- Headquartered in San Francisco, California
- Private company backed by Accel, Founders Fund, Index Ventures, Nvidia and Meta