Multimodal Research Scientist (AI/ML Lead)

Overview

Our teams take great pride in delivering some of the world’s most prestigious projects. This success is driven by our talented people, whose diverse perspectives, expertise, and knowledge set us apart. Join us and you'll be part of our genuinely collaborative environment, where everyone is supported to make the most of their talents and expertise.

You’ll be the AI/ML Lead on a small, cross-functional team. Your mission:

• Build a custom image generation + editing model tailored to Urban, architecture and interior design.

• Develop a pipeline for image understanding → code generation (For industry standard software’s)

• Train or fine-tune a Small Language Model (SLM) on domain-specific workflows, APIs, and design knowledge.

• You’ll work closely with our Systems Engineer (who handles integrations and data pipelines) and our Product/Domain Lead (who supplies domain expertise, data, and pilot users).

Your role

• Model Design & Training

  • Build and train a diffusion or transformer-based text-to-image model with text-driven editing (ControlNet/LoRA/inpainting) for architecture and interiors.

  • Combine a vision encoder with a code/SLM decoder to output parametric tool plans and executable code for industry software.

• SLM Fine-Tuning & Program Synthesis

  • Select and fine-tune an open-source LLM/SLM (Llama, Qwen, DeepSeek, etc.) to encode architecture and interior design workflows and APIs.

  • Design structured outputs, grammar constraints, and execution-guided training for high tool-call accuracy.

• Data Strategy

  • Develop large, high-quality datasets pairing images, prompts, and gold-standard tool calls/code.

  • Lead annotation/auto-labeling strategies and data augmentation tailored to architecture/interior contexts.

• Collaboration & Integration

  • Partner with the Systems Engineer to ensure your models integrate smoothly with Industry standard softwares

  • Incorporate domain feedback from the Product/Domain Lead and pilot users to guide model improvements.

• Research & Innovation

  • Stay ahead of the state of the art in generative models, program synthesis, and multimodal LLMs.

  • Prototype novel architectures for latent scene representation, spatial reasoning, and text-based editing.

About you

Qualifications:

• Master’s or PhD in Computer Science, Machine Learning, Computer Vision, or related field.

• Experience: 4–5 years of hands-on research and development in generative models, computer vision, or program synthesis.

• Technical Skills:

  • Expert in PyTorch or TensorFlow, plus supporting libraries for vision and NLP.

  • Proven experience training diffusion models or large transformer architectures at scale.

  • Comfort with fine-tuning LLMs (LoRA/QLoRA) and structured decoding (JSON/grammar constraints).

  • Familiarity with 3D or CAD/BIM concepts — at least enough to design good intermediate representations.

Reward & benefits

Explore the rewards and benefits that help you thrive – at every stage of your life and your career.

This includes:

• Comprehensive life insurance coverage.

• Premium medical insurance for you and your dependents.

• Generous annual leave balance.

• Flexible and hybrid work solutions.

• Remote work opportunities outside of country.

• Company gratuity scheme.

• Discretionary bonus program.

• Relocation assistance.

• Employee Wellbeing Program: 24/7 access to specialists in finance, legal matters, family care, personal health, fitness, and nutrition.

Seize every opportunity to sharpen your skills, expand your expertise, and be recognized for the impact you make.

About AtkinsRéalis

We're AtkinsRéalis, a world-class engineering services and nuclear organization. We connect people, data and technology to transform the world's infrastructure and energy systems. Together, with our industry partners and clients, and our global team of consultants, designers, engineers and project managers, we can change the world. We're committed to leading our clients across our various end markets to engineer a better future for our planet and its people.

Find out more.