Multimodal AI Research Engineer: Animation & Creativity

H2 Games; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

H2 Games is seeking a Machine Learning/AI Research Engineer to adapt, evaluate, and productionize multimodal foundation models for image assets and 2D animation. You will improve image generation/editing, visual understanding, style consistency, and asset-quality assessment while enabling animation support and content-quality evaluation.

The role requires turning research prototypes into reproducible production systems, collaborating with product, design, and engineering teams, and building

Qualifications

• More than 1 year of experience in machine learning, computer vision, multimodal AI, generative AI, or applied AI research.
• Strong PyTorch skills and experience with model training, fine-tuning, evaluation, deployment, or inference optimization.
• Hands-on experience with SFT, LoRA/PEFT, DPO/RLHF/RLAIF, reward modeling, model evaluation, or continual learning.

Responsibilities

• Evaluate and select visual, multimodal, and image-generation foundation models; establish measurable baselines and iteration roadmaps.
• Run supervised fine-tuning, LoRA/PEFT, preference optimization, continual adaptation, distillation, and other post-training methods using proprietary data.
• Develop capabilities for image generation and editing, visual understanding, automatic tagging, style recognition, character consistency, asset-quality assessment, and near-duplicate detection.
• Develop 2D-animation capabilities including part understanding, layer-extraction assistance, pose and skeleton inference, rigging assistance, motion transfer, animation generation, and quality assessment.
• Combine model outputs with structured constraints, deterministic validation, safety policies, and human-review workflows to improve reliability, editability, and publishability.
• Build offline and human evaluation systems to measure generation quality, edit success rate, style consistency, first-pass acceptance, user satisfaction, latency, and inference cost.
• Partner with the AI Data Engineer to turn model failures, artist corrections, user feedback, and moderation results into reusable training and evaluation data.
• Work with product, design, and engineer teams to deliver production services, batch workflows, and creator tools.
• Maintain reproducible training, evaluation, inference, monitoring, and model-versioning workflows.

Skills

PyTorch

Model training

Fine-tuning

Multimodal AI

Evaluation

Production systems

Cross-functional collaboration

Education

Master's degree in ML or related field

Tools

LoRA/PEFT

SFT

DPO/RLHF/RLAIF

Diffusion models

Job description

H2 Games is seeking a Machine Learning/AI Research Engineer to adapt, evaluate, and productionize multimodal foundation models for image assets and 2D animation. You will improve image generation/editing, visual understanding, style consistency, and asset-quality assessment while enabling animation support and content-quality evaluation.

The role requires turning research prototypes into reproducible production systems, collaborating with product, design, and engineering teams, and building