Software Engineer, Scale AI
Public Sector, New Grad
$124-162k
Training and validation data for AI applications
Be an early applicant
Training and validation data for AI applications
1001+ employees
Be an early applicant
$124-162k
1001+ employees
Company mission
To develop reliable AI systems for the world's most important decisions.
Role
Who you are
- A graduation date in Fall 2026 or Spring 2027 with a Bachelor's degree (or equivalent) in a relevant field (Computer Science, EECS, Computer Engineering, Statistics)
- Product engineering experience such as building web apps full-stack, integrating with relevant APIs and services, talking to users, figuring out 'what' to build and then iterating
- Previous Product/Software Engineering internship experience
- Track record of shipping high-quality products and 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 — you will work directly with government stakeholders and must be able to explain technical concepts to non-technical audiences
- Comfort with ambiguity and evolving requirements, and a willingness to learn new domains quickly
Desirable
- Hands-on experience with LLMs, evaluations, or agentic systems — whether from internships, research, or personal projects
- Familiarity with cloud platforms (AWS, Azure, GCP), containerization (Docker), and orchestration (Kubernetes)
- Exposure to ETL, data modeling, data warehousing, or data governance
- Prior experience with, or demonstrated interest in, national security, defense, or civil government technology
- Open source contributions or a portfolio of shipped side projects
What the job involves
- Public Sector engineers build the core product including the systems required to ingest and process federal datasets that support real-time decision-making in contested environments
- As a New Grad Software Engineer on this team, you will own meaningful, mission-facing work from day one: shipping features, sitting with the government stakeholders who use them, and iterating fast
- Example Projects:
- Build multi-layered guardrails that keep agents safe and predictable in high-stakes federal environments
- Optimize data retrieval for agents, including RAG pipelines over large, heterogeneous federal datasets
- Build orchestration for fleets of asynchronous agents running long-horizon tasks
- Develop systems that automatically alert users to deviations and anomalies in incoming data
- Create interfaces that illustrate how an agent reached a decision, so operators can audit and trust its output
- Develop data pipelines and ML infrastructure that make previously siloed government data sources accessible to agents
- Build evaluation infrastructure that measures model reliability against mission requirements
- Ship full-stack tooling that lets analysts query, visualize, and explore mission data
- Deploy and harden applications into secure, air-gapped, and cloud-native government environments
Our take
When training AI models, lack of access to large scale, high quality, labelled data is often the barrier preventing machine learning teams from building something great. In fact, labelled data is even more essential than the algorithms themselves. Scale AI is solving this by providing easy access through developer APIs to a huge variety of labelled data sets covering a large range of areas within computer vision and natural language processing.
It seems that almost every company now is offering artificial intelligence enabled products to automate every aspect of our lives. So, by positioning themselves as the go-to source for high quality tagged data, Scale AI is in an excellent position as the AI sector continues it's exponential growth.
With innovative AI projects across a range of sectors including retail, energy, and healthcare, Scale AI is now a leader in the industry alongside OpenAI. It continues to forge partnerships with fintech tools and software engine developers such as Brex and Luminar to continue its evolution of digital markets.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 7 rounds)
May 2024
$1bn
SERIES F
Apr 2021
$325m
SERIES E
Total funding: $1.6bn
Company benefits
- Health & Wellbeing: Our holistic approach to supporting Scaliens includes comprehensive health coverage, dental and vision insurance, mental healthcare services, and more. PTO policies and accommodating schedules ensure you’ll get time off when you need it to relax and recharge. Note that our offerings may vary by region as we strive to respond to the unique needs of Scaliens around the globe.
- Personal & Career Growth: Continuously learn and grow through annual learning & development stipend, attending leadership breakfasts, manager training, speaker series, and joining an ERG.
- Building Scale Community: We welcome guests to our offices, and you can expect to see Scalien families and friends around. Join local happy hours, and accept invites to game nights, book clubs, and many other employee-led community events.
- Parental Support: Balancing work and family is essential, and Scale understands the importance of having adequate leave policies in place to promote a healthy home and work life.
Company HQ
Rincon Hill, San Francisco, CA
Leadership
Alexandr Wang
(Founder & CEO)Previously, Alexandr was an Algorithm Developer at Hudson River Trading, a Tech Lead and Quora and a Software Engineer at Addepar.
Salary benchmarks
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