5 дней назад
Software Engineer, Public Sector - New Grad (AI)
124 000 - 162 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Engineer, Public Sector - New Grad (AI): Building reliable AI systems, data pipelines, agent infrastructure, and full-stack tools for real-time decision-making in federal environments with an accent on large-scale data processing, agentic systems, and secure deployment. Focus on designing guardrails, optimizing RAG retrieval, orchestrating asynchronous agents, and deploying applications into air-gapped and cloud-native government environments.
Location: Public-sector engineering role supporting U.S. federal datasets and government applications.
Salary: $124,000–$162,000 USD per year, with potential equity and benefits.
Company
Scale AI develops reliable AI systems, high-quality data products, and full-stack technologies for enterprises and governments.
What you will do
- Build systems that ingest, process, and expose large federal datasets for real-time decision-making.
- Develop guardrails, evaluation infrastructure, and interfaces that make agent decisions safer, explainable, and auditable.
- Optimize data retrieval with RAG pipelines and orchestrate fleets of asynchronous agents.
- Create anomaly-alerting systems, data pipelines, and ML infrastructure for previously siloed government data.
- Ship full-stack tooling for querying, visualizing, and exploring mission data.
- Deploy and harden applications in secure, air-gapped, and cloud-native environments while working directly with government stakeholders.
Requirements
- Graduation in Fall 2026 or Spring 2027 with a Bachelor's degree or equivalent in Computer Science, EECS, Computer Engineering, Statistics, or a related field.
- Product or software engineering experience, including building full-stack web applications and integrating APIs and services.
- Previous product or software engineering internship experience and a record of shipping high-quality features at scale.
- Experience building systems that process large volumes of data.
- Experience with Python, TypeScript, React, and/or MongoDB.
- Strong written and verbal communication, comfort with ambiguity, and the ability to explain technical concepts to non-technical stakeholders.
Nice to have
- Experience with LLMs, evaluations, or agentic systems.
- Familiarity with AWS, Azure, GCP, Docker, or Kubernetes.
- Exposure to ETL, data modeling, data warehousing, or data governance.
- Interest or experience in national security, defense, or civil government technology.
- Open-source contributions or shipped side projects.
Culture & Benefits
- Focus on customer impact, cross-team collaboration, quality, research, and long-term consequences.
- Health, dental, and vision coverage.
- Retirement benefits, learning and development stipend, and generous paid time off.
- Potential commuter stipend and equity compensation for eligible roles.
- Inclusive equal-opportunity workplace with reasonable accommodations available.
Hiring process
- Salary placement is determined during the interview process based on location, qualifications, skills, education, and interview performance.
- Candidates must wait 90 days before being reconsidered for the same role.
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