Machine Learning Engineer, Global Public Sector

Scale AI
Doha, London
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningEducation: mastersSkills: ["Communication","Problem-solving","Leadership"]

Lead frontier research in LLM/agent capabilities, safety, and generalisable agent designs for public sector applications. Engineer high-stakes AI systems, publish in top venues, and collaborate across commercial and government platforms to advance sovereign AI while driving safety, robustness, and long-horizon reasoning capabilities.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Scale AI
Scale AI
2 years ago

Machine Learning Engineer, Global Public Sector

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 18 hours agoStatus: Live

Job Summary

Lead frontier research in LLM/agent capabilities, safety, and generalisable agent designs for public sector applications. Engineer high-stakes AI systems, publish in top venues, and collaborate across commercial and government platforms to advance sovereign AI while driving safety, robustness, and long-horizon reasoning capabilities.
Location: Doha, London
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Frontier Research & Publication: Lead research into LLM/agent capabilities, reasoning, and safety, with the goal of publishing at top-tier venues (NeurIPS, ICML, ICLR).
  • •Cross-Org Impact: Develop generalized techniques in Agent design, AI Safety and Deep Research agents that scale across commercial and government platforms.
  • •Mission-Critical Applications: Engineer high-stakes AI systems that impact millions of citizens globally.
  • •Pioneer Novel Architectures: Design and train state-of-the-art models and agents, creating custom architectures for complex public sector reasoning tasks.
  • •Lead AI Safety Initiatives: Research and implement robust safety frameworks, including red teaming, alignment (RLHF/DPO), and bias mitigation strategies essential for sovereign AI.

Key Requirements

  • •Advanced degree: PhD or Master’s in Computer Science, Mathematics, or a related field with a focus on Deep Learning.
  • •Research track record: a portfolio of first-author publications at major conferences (NeurIPS, ICML, CVPR, EMNLP, etc.).
  • •Engineering rigor: strong proficiency in Python, deep learning frameworks (PyTorch/JAX), with the ability to write production-ready code that scales.
  • •Safety expertise: experience in alignment, robustness, or interpretability research.
  • •Nice to have: experience with large-scale distributed training on massive clusters; experience building agentic systems that are reliable; experience in Sovereign AI or regulated data environments; a zero-to-one mindset.
Experience:Public sectorGovernmentAI research
Education:Master's
Skills:CommunicationProblem-solvingLeadership
Languages:English
Tech Stack:PythonPyTorchJAX

Company Brief

Scale AI
Provides data labeling, annotation, and infrastructure services to accelerate machine learning and AI development. Supplies high-quality training data, tooling, and APIs for customers in autonomous vehicles, mapping, robotics, and enterprise AI applications.
Industry: AI & Machine Learning
Company Size: Enterprise (1,001+ employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2016
WebsiteLinkedIn