1,827,742open jobs
105,260companies
275,398added this week
Browse all
Salary
$124k – $162k per year
Location
In office (San Francisco)
Seniority
Junior
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 18, 2026. First seen by Alion on Sep 23, 2026. Scale AI scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Scale AI is an American company founded in San Francisco in 2016 that supplies the training data, evaluation and tooling behind large artificial intelligence systems. It began with human-labelled annotation for autonomous driving and computer vision, then expanded into reinforcement learning from human feedback, expert data generation, model evaluation and full-stack deployment platforms for enterprises and governments. In 2025 Meta acquired a large minority stake and hired co-founder Alexandr Wang, after which the company continued under new leadership serving defence, public sector and commercial customers.

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 [email protected]. 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.

Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
1,827,742 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account Continue with Google
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

Backend
Similar stack
Same company
San Francisco
$165k – $224k per year • Equity • In office • Full-Time • 3+ years exp • Bachelor's Degree • Cupertino
C++
DevOps
AWS
Amazon EC2
Linux
Apply
$165k – $224k per year • Equity • In office • Full-Time • 3+ years exp • Bachelor's Degree • Seattle
C++
C++
PyTorch C++
AI/ML
JAX
PyTorch
AWS Trainium
XLA
Machine Learning
DevOps
AWS
AWS Lambda
Amazon EC2
Amazon S3
Amazon ECS
Amazon CloudWatch
Apply
$165k – $224k per year • Equity • In office • Full-Time • 2+ years exp • Bachelor's Degree • Cupertino
C++
DevOps
VMWare
AWS
Amazon EC2
Xen
Linux
DNS
DHCP
Apply
In office • Secret • Internship • Manassas
JavaScript
C++
DevOps
Linux
Apply
$102k – $202k per year • In office • TS/SCI • 2+ years exp • Bachelor's Degree • Washington • Reston
Python
JavaScript
C#
C++
DevOps
Azure DevOps
Azure
CI/CD
Git
Kubernetes
SLI/SLO/SLA
GitHub
Linux
Windows
Cybersecurity
Microsoft Defender
Apply
Applied AI Engineer 7 days ago
Remote (Germany, Indonesia, Ireland, Poland, Spain)
Python
AI/ML
JAX
Multimodal AI
Knowledge Distillation
PyTorch
RAG
Mixture of Experts
LLM Guardrails
Multi-Agent Systems
Model Distillation
Machine Learning
Apply
≈ $38k – $91k per year (Estimated) • Remote (EU, Serbia, Ukraine) • Freelance • Tallinn
Python
Java
Marketing
LinkedIn Ads
Apply
≈ $104k – $230k per year (Estimated) • Remote (Germany, Indonesia, Ireland, Poland, Spain)
Python
AI/ML
JAX
PyTorch
Apply
≈ $50k – $114k per year (Estimated) • Remote (Spain) • Madrid
Python
AI/ML
Qwen
vLLM
Fine-tuning
JAX
PyTorch
OpenAI
Machine Learning
Apply
≈ $50k – $120k per year (Estimated) • Remote (Spain) • Madrid
Python
JavaScript
SQL
Node JS
AI/ML
Embeddings
Multimodal AI
PyTorch
OpenAI
Anthropic
DevOps
Docker
Kubernetes
Apply
$216k – $270k per year • Equity • In office • Full-Time • 5+ years exp • San Francisco • New York
Databases
Snowflake
AI/ML
Dagster
dbt
DevOps
Terraform
AWS
Docker
Kubernetes
AWS Step Functions
Analytics
ETL/ELT
Apply
In office • Internship • Bachelor's Degree • San Francisco
Python
TypeScript
AI/ML
Reinforcement Learning
AI Agents
Post-training
Apply
$124k – $162k per year • Equity • In office • Full-Time • Bachelor's Degree • San Francisco
Python
TypeScript
AI/ML
Reinforcement Learning
AI Agents
RAG
Post-training
Apply
$216k – $270k per year • Equity • In office • Full-Time • 5+ years exp • San Francisco • New York
Databases
Snowflake
AI/ML
Dagster
dbt
DevOps
Terraform
AWS
Docker
Kubernetes
AWS Step Functions
Analytics
ETL/ELT
Apply
$252k – $315k per year • Equity • In office • Full-Time • 8+ years exp • San Francisco • New York
Python
Go
Rust
TypeScript
AI/ML
Model Context Protocol
vLLM
RLHF
Reinforcement Learning
Function Calling
AI Agents
SGLang
TRL
Transformers
Ray
PPO
GRPO
Post-training
Scale AI
LLM Evaluation
Tool Use
RLAIF
Reward Modeling
DevOps
GCP
Azure
CI/CD
AWS
Docker
Kubernetes
Apply
≈ $157k – $287k per year (Estimated) • In office • 6+ years exp • Bachelor's Degree • San Francisco
Python
Julia
MATLAB
Databases
Snowflake
AI/ML
Machine Learning
DevOps
GCP
CI/CD
Management
Agile
Apply
$127k – $185k per year • Equity • In office • Full-Time • 1+ year exp • Bachelor's Degree • San Francisco
Java
Ruby
C++
DevOps
AWS
Apply
$194k – $285k per year • Equity • In office • 6+ years exp • PhD • San Francisco • Seattle • New York
SQL
AI/ML
Interpretability
Machine Learning
Apply
$210k – $330k per year • In office • San Francisco
Apply
$150k – $240k per year • In office • San Francisco
Apply
See all jobs
This is one of many
1,827,742 more open roles from verified company boards, updated every day.