Summary written by USA Jobs 24 from Scale AI's advert and our data on 17,030 current US jobs. How we check every job
At a glance
Scale AI is hiring a Software Engineer, Public Sector - New Grad in San Francisco, CA. It is a full-time role in Software & IT, asking for at least 10 years of experience, first listed on November 1. The advertised pay is $124,000–$162,000 a year. The description mentions Statistics, Python, TypeScript, React, Generative AI and AWS. Scale AI has 99 other openings in the US, 61 of them in San Francisco, CA. Across all employers on USA Jobs 24 there are 725 Software & IT openings in San Francisco, CA today; the typical one asks for 5 years and advertises about $230,000 a year at the midpoint.
StatisticsPythonTypeScriptReactGenerative AIAWSAzureGoogle Cloud
How the pay compares
Scale AI advertises $124,000 to $162,000 a year, a midpoint of $143,000 a year. Where an offer lands in a range usually depends on experience and on the exact location. That is lower than about 91% of the 1,317 software & IT jobs in California that publish a yearly rate on USA Jobs 24, where the typical midpoint is $213,000 a year. To see roughly what this leaves after federal and California tax, try our take-home pay calculator.
Skills in this advert
How often each skill named in this advert appears across the 4,670 software & IT jobs we list today. Python is the most widely requested (31% of jobs), while Statistics is the least common (5%). Widely requested skills are what employers expect as a baseline; rarer ones show what is special about this job.
Paste your resume and this advert into our resume match tool to see which of these words your resume already covers.
Before you apply
- Check it is still open. We found this job on Scale AI's Greenhouse site on November 1 and checked it again November 4, 5:17 AM ET. When an employer takes a job down, we remove it at our next daily update.
- Check the location works for you. This role is based in San Francisco, CA. If you would need to move, ask whether relocation help is offered.
- Entry-level friendly. The advert is open to people early in their career. Our guide to entry-level jobs covers what to put on a first resume.
- Tailor your resume. Use the advert's own words, such as Statistics, Python and TypeScript, wherever they are true for you. Our resume guide shows how.
- Know your number. Decide the lowest offer you would accept before the first call. Our salary negotiation guide explains how to ask for more.
- Apply only through Scale AI's own site. Our Apply button goes straight to Scale AI's Greenhouse page. If anyone contacts you about this job and asks for money, gift cards or bank details, stop and check it with our scam checker. Read how to spot a fake job offer.
About hiring at Scale AI
Scale AI has 100 openings on USA Jobs 24 today across 9 states. Most are in data & AI (29), software & IT (25) and product & design (11). The biggest locations are San Francisco, CA (62), New York, NY (55) and Seattle, WA (4). 6% of them are remote, 6% are open to entry-level candidates and 94% show pay. We collect Scale AI's jobs every day straight from its own careers system (Greenhouse), never from job boards or agencies.
The employer's advert
This is Scale AI's own description of the job, copied word for word from its careers site. We have not edited it.
Show the full advert from Scale AIHide the advert1,053 words
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. For 10 years, Scale has provided the high-quality data and full-stack technologies that power the world's leading models, and has helped enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force.
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
Requirements
- 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
Nice to Have
- 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
How We Work
Our credos shape how we make decisions and work as a team:
- Earn Customer Love — trust is earned with every interaction, every delivery, and every problem we solve
- Team Flow — ideas, energy, and support move freely across teams; optimize for the whole
- Quality is Our Cheat Code — the systems that deliver quality consistently are a structural advantage
- Find the 20% — find the inputs that drive the outcomes and execute them completely
- Write the Market — our research puts us at the frontier, and we bring our partners there first
- Three Moves Ahead — consider the consequences of consequences, and plan accordingly
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
The base salary range for this full-time position in the location of San Francisco is:
$124,000—$162,000 USD
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
USA Jobs 24 copied this listing from Scale AI's official careers site on November 1, 2026 and checked it again November 4, 5:17 AM ET. Scale AI will never ask you to pay to apply or to buy equipment with a check they send you. If anyone does, it is a scam.
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