Software Engineer, Platform
Scale AI · San Francisco, CA; New York, NY · New York, NY · San Francisco, CA
Infrastructureonsite
At a glance
Highlights
- Design shared platforms powering RLHF for the world's most advanced LLMs.
- Architect core cloud infrastructure and redefine how engineers ship software.
- Get front-row exposure to AI race across enterprises, startups, and governments.
What they offer
- Base salary
- Equity
- Benefits
Ideal candidate
Ownership-driven backend builder who thrives on ambiguous platform challenges and collaborates clearly across teams, excited to shape foundational systems for frontier AI.
Requirements
- 3+ years full-time engineering experience post-graduation specializing in back-end systems
- Deep understanding of distributed systems and public cloud platforms (AWS preferred)
- Track record of independent ownership of successful engineering projects
- Excellent communication and collaboration skills with technical and non-technical stakeholders
- Experience with containerization and deployment technologies like Kubernetes, Terraform, Docker
- Experience with orchestration platforms such as Temporal and AWS Step Functions
- Experience with MongoDB and Postgres databases
- Strong knowledge of software engineering best practices and CI/CD tooling (CircleCI)
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
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