2,096,212open jobs
128,967companies
243,811added this week
Browse all
Salary
≈ $128k – $228k per year (Estimated)
Location
In office (Doha, London)
Seniority
Senior · 7+ years exp
Visa
Licensed UK visa sponsor

Confirmed on the employer's own hiring board on Nov 4, 2026. First seen by Alion on May 1, 2024. 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.

Scale’s rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of:

  • Creating custom AI applications that will impact millions of citizens
  • Generating high-quality training data for national LLMs
  • Upskilling and advisory services to spread the impact of AI

We are hiring Applied AI Engineers to build custom end-to-end AI applications for our public sector clients using the latest developments in the field of AI. You will also get the opportunity to develop and be part of creating custom datasets, evaluations, and fine-tuning these sophisticated models to maximize performance and apply on real world use cases with global reach. 

At Scale, we’re not just building AI solutions-we are building repeatable blocks to enable the public sector to transform their operations and better serve citizens through cutting-edge technology. If you’re ready to shape the future of AI in the public sector and be a member of our rapidly expanding team, we’d love to hear from you.

You will:

  • Partner with public sector clients to deeply understand their challenges and define AI-driven solutions 
  • Build and deploy end-to-end AI applications into production leveraging latest developments from the biggest AI labs, and open source models
  • Collaborate with cross-functional teams, including data annotation specialists, to create high-quality training datasets
  • Design and maintain robust evaluation frameworks to ensure the reliability and effectiveness of AI models
  • Participate in customer engagements, including occasional travel (approximately two weeks per quarter)
  • Contribute to the scaling of AI capabilities in the public sector through hands-on knowledge sharing

Ideally you’d have:

  • A strong engineering background, with a Bachelor’s degree in Computer Science, Mathematics, or a related quantitative field (or equivalent practical experience)
  • 7+ years of post-graduation engineering experience, with demonstrated proficiency in languages such as Python, TypeScript/JavaScript, Java, or C++.
  • 2+ years of experience applying AI/ML in production environments, such as deploying deep learning solutions, building generative/agentic AI applications or setting up evaluations pipelines
  • Familiarity with cloud-based machine learning tools and platforms (e.g. AWS, GCP, Azure)
  • Strong problem-solving skills, with a data-driven approach to iterating on machine learning models and datasets
  • Excellent written and verbal communication skills to collaborate effectively in a cross-functional environment

Nice to haves:

  • Experience working at a startup, particularly as founding engineer
  • Experience building and deploying large-scale AI solutions
  • Strong written and verbal communication skills to operate in a cross-functional team environment
  • Proficiency in Arabic (if focused on language models)

For those applying based in Qatar: Residency and employment in Qatar requires certain permissions (visa and permits) issued by the Qatari authorities. As part of the application process, candidates will be asked to provide personal information, including residency status and nationality, which is required for visa processing. This information is collected solely for immigration compliance purposes and will be not used as a criterion in any hiring decision unless such use is lawfully permitted. Visa issuance is at the discretion of the Qatari authorities. If you are successful in your application, you will be required to provide the documentation requested by Scale and the authorities to obtain the necessary permissions for you to live and work in Qatar, and Scale will work with successful candidates to support the visa application process.

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.
2,096,212 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

AI/ML
Similar stack
Same company
Doha
Hybrid · Full-Time · Bristol · Berlin · Amsterdam
Python
SQL
Databases
Apache Kafka
AI/ML
Dagster
MLFlow
Machine Learning
DevOps
AWS
Kubernetes
Apply
Remote (United Kingdom) · Master's Degree · United Kingdom
AI/ML
AI Agents
LLM
RAG
Explainable AI
Knowledge Graph
LLM Guardrails
Agentic Workflows
Machine Learning
DevOps
GitHub
Robotics
Digital Twin
Apply
Hybrid · Full-Time · London
AI/ML
Function Calling
AI Agents
Structured Outputs
Context Engineering
Edge AI
DevOps
Platform Engineering
Apply
Hybrid · Full-Time · London
AI/ML
Function Calling
AI Agents
Structured Outputs
Apply
In office · 5+ years exp · Bachelor's Degree · London
AI/ML
Function Calling
AI Agents
LLM
RAG
Semantic Search
Apply
≈ $35k – $65k per year (Estimated) · Hybrid · Full-Time · 6+ years exp · Bachelor's Degree · Bengaluru
Python
Java
SQL
Databases
MySQL
PostgreSQL
Firestore
Apache Kafka
Google BigQuery
Google Bigtable
AI/ML
Spark
Airflow
dbt
DevOps
Terraform
GCP
CI/CD
Git
Docker
Kubernetes
Google GKE
Cybersecurity
GDPR
HIPAA
Analytics
Tableau
Power BI
ETL/ELT
Looker
Dimensional Modeling
Apply
$173k – $359k per year · In office · 12+ years exp · Bachelor's Degree · Buffalo
Python
Java
SQL
Scala
Databases
Databricks
AI/ML
Model Context Protocol
AI Agents
Physical AI
Machine Learning
DevOps
GCP
Azure
Git
Docker
Kubernetes
Management
Agile
Waterfall
Apply
≈ $19k – $42k per year (Estimated) · In office · 7+ years exp · Bachelor's Degree · India
Python
JavaScript
SQL
C#
DevOps
Rest API
CI/CD
SOAP
Management
Agile
ITIL
Apply
≈ $20k – $45k per year (Estimated) · In office · Full-Time · 3+ years exp · Pune
Python
DevOps
Terraform
Ansible
GCP
Prometheus
CI/CD
GitOps
ArgoCD
Jenkins
AWS
Docker
Kubernetes
Grafana
Configuration Management
Amazon EKS
Google GKE
Apply
≈ $161k – $290k per year (Estimated) · Remote (likely United States) · 3+ years exp · PhD
DevOps
GCP
Life Sciences
Good Clinical Practice
Apply
≈ $196k – $383k per year (Estimated) · In office · 7+ years exp · London
AI/ML
Fine-tuning
Hallucination
Apply
≈ $128k – $256k per year (Estimated) · Remote (United Kingdom) · Contractor · PhD · United Kingdom
Python
AI/ML
LangChain
TensorFlow
PyTorch
LLM
Scale AI
LLM Guardrails
Machine Learning
DevOps
AWS
Docker
Apply
$163k – $204k per year · Equity · In office · Top Secret · Full-Time · 5+ years exp · Bachelor's Degree · Denver · Honolulu · Washington
Python
AI/ML
Fine-tuning
Reinforcement Learning
Multimodal AI
Computer Vision
AI Agents
TensorFlow
PyTorch
LLM
SFT
Machine Learning
DevOps
GCP
AWS
Apply
$166k – $207k per year · Equity · In office · Full-Time · Master's Degree · San Francisco · Seattle · New York
AI/ML
Fine-tuning
RLHF
Reinforcement Learning
Multimodal AI
LLM
SFT
Post-training
Reward Modeling
Machine Learning
Apply
≈ $105k – $275k per year (Estimated) · In office · 5+ years exp · Doha
Python
SQL
AI/ML
LangChain
LlamaIndex
LLM
RAG
Scale AI
Machine Learning
DevOps
Rest API
gRPC
GCP
Azure
CI/CD
AWS
Self-Healing
AIOps
Incident Management
Apply
Apply
In office · 8+ years exp · Bachelor's Degree · Doha
Management
Agile
Scrum
ITIL
Apply
In office · 15+ years exp · Bachelor's Degree · Doha
Apply
≈ $39k – $94k per year (Estimated) · In office · 6+ years exp · Bachelor's Degree · Doha
Apply
In office · 6+ years exp · Bachelor's Degree · Doha
Energy
IEC 61850
Apply
See all jobs
This is one of many
2,096,212 more open roles from verified company boards, updated every day.