Build the Future of Cities

Join our mission to create intelligent cities that serve their citizens better. Work with cutting-edge AI technology while making a meaningful impact on millions of lives.

View Open Positions

Why Join LaplaceX?

We offer more than just a job—we provide the opportunity to shape the future of urban living while growing your career in a supportive, innovative environment.

Competitive Compensation

Market-leading salaries plus equity participation in our growth

Global Impact

Work on solutions that improve millions of lives across multiple continents

Learning & Growth

Continuous learning budget, conference attendance, and mentorship programs

Work-Life Balance

Flexible working arrangements, unlimited PTO, and wellness programs

Our Culture Principles

These principles guide how we work together and make decisions every day.

Think Like an Owner

We take ownership of our work and decisions, considering long-term impact over short-term gains. Every team member has equity and a voice in our direction.

Embrace Complexity

Cities are complex systems, and we don't shy away from hard problems. We break down complexity into manageable pieces while keeping the big picture in mind.

Learn Fast, Fail Fast

We encourage experimentation and rapid iteration. Failures are learning opportunities that make us stronger and more innovative.

Citizens First

Every decision starts with how it impacts the people who live in the cities we serve. Technology should improve lives, not complicate them.

Open Positions

We're growing rapidly and looking for exceptional people to join our team. Each role offers the opportunity to make a significant impact.

Senior AI Engineer

London, UK / Remote
Full-time
Engineering

Lead development of machine learning models for urban prediction and optimization systems.

Requirements

  • PhD or Masters in Computer Science, AI, or related field
  • 5+ years experience in machine learning and AI systems
  • Expertise in Python, TensorFlow/PyTorch, and distributed computing
  • +1 more requirements

Key Responsibilities

  • Design and implement ML models for traffic, energy, and safety prediction
  • Optimize model performance for real-time city-scale deployments
  • Collaborate with product teams to translate requirements into AI solutions
  • +1 more responsibilities

Senior Frontend Developer

London, UK / Remote
Full-time
Engineering

Build intuitive interfaces for complex city management dashboards and citizen-facing applications.

Requirements

  • Bachelor's degree in Computer Science or equivalent experience
  • 4+ years experience in modern frontend development
  • Expert-level React, TypeScript, and modern CSS frameworks
  • +1 more requirements

Key Responsibilities

  • Develop responsive web applications for city operators and citizens
  • Create data visualization components for complex urban analytics
  • Collaborate with UX designers to implement intuitive user experiences
  • +1 more responsibilities

Solutions Architect

Dubai, UAE / London, UK
Full-time
Customer Success

Design and implement LaplaceX solutions for government and enterprise clients across multiple regions.

Requirements

  • Bachelor's degree in Engineering, Computer Science, or related field
  • 6+ years experience in enterprise software architecture
  • Strong understanding of government and smart city requirements
  • +1 more requirements

Key Responsibilities

  • Lead technical discovery and solution design for new clients
  • Architect integration approaches for complex city infrastructure
  • Support sales process with technical expertise and demonstrations
  • +1 more responsibilities

Senior Data Scientist

London, UK / Remote
Full-time
Product

Analyze urban data patterns to drive product insights and improve AI model performance.

Requirements

  • PhD or Masters in Data Science, Statistics, or related field
  • 4+ years experience in data science and analytics
  • Expertise in Python, R, SQL, and statistical modeling
  • +1 more requirements

Key Responsibilities

  • Analyze city data to identify patterns and optimization opportunities
  • Develop statistical models to measure solution impact and ROI
  • Create data-driven insights to guide product development decisions
  • +1 more responsibilities

Application Process

We've designed our hiring process to be thorough yet respectful of your time, focusing on finding the right mutual fit.

1

Application

Submit your application with CV and cover letter explaining your interest in the role.

2

Initial Screen

30-minute conversation with our talent team to discuss your background and motivations.

3

Technical Interview

Role-specific technical discussion or coding challenge with team members.

4

Final Interview

Meet with leadership team to discuss culture fit and career aspirations.

Ready to Make an Impact?

Don't see the perfect role? We're always interested in hearing from exceptional people who share our mission.