R&D Engineer (GEN AI/ ML)

About the Role

UBISOFT is seeking an Intermediate R&D Engineer to prototype and validate new technologies that improve game testing and quality control. This role focuses on building rapid prototypes and running experiments using GenAI, VLMs (Vision-Language Models), and AI/ML to explore automation opportunities across QC. You will work closely with the R&D Manager and cross-functional partners to translate ideas into measurable experiments, evaluate feasibility, and iterate toward proof-of-value prototypes.

Key Responsibilities

• Build rapid prototypes using GenAI/VLM/ML to address QC and testing pain points.
• Design and execute experiments: define hypotheses, datasets/inputs, evaluation criteria, baselines, and success metrics (accuracy, precision/recall, latency, cost, robustness).
• Implement data pipelines for experiments: data collection, cleaning, labeling support, and dataset versioning (as needed for proofs-of-concept).
• Explore and compare approaches and document trade-offs.
• Integrate prototypes with existing internal tools/test systems at a lightweight level (APIs, CLIs, plugins) to enable user trials and feedback.
• Analyze experiment results, identify failure modes, and iterate quickly based on findings and stakeholder input.
• Maintain reproducible research practices: experiment tracking, configuration management, and clear documentation of assumptions and limitations.
• Collaborate in agile workflows: estimate assigned tasks, provide status updates, and incorporate feedback iteratively.

Qualifications

• B.E/BTech/MTech/MS Computer Science in computer science or equivalent.
• Hands-on knowledge of Python programming.
• Good understanding of AI/ML concepts.
• Familiarity with software development and testing processes.
• Solid understanding of debugging and troubleshooting techniques.

Requirements & Tech Stack

• Exposure to CI/CD tools (e.g., Jenkins, TeamCity) and version control systems (e.g., Git).
• Nice to have experience working with game engines.
• Good to have understanding of other languages such as C++ and C#.

Core Competencies

• Eager to Learn: Highly motivated and quick to grasp new concepts.
• Experimental Mindset: Comfortable with ambiguity; able to form hypotheses and learn quickly through iteration.
• Pragmatic Engineering: Delivers prototypes that are usable and measurable, without over-engineering.
• Analytical Thinking: Interprets results critically; understands bias, variance, and common evaluation pitfalls.
• Collaboration: Works well with technical and non-technical stakeholders; communicates trade-offs clearly.
• Adaptability: Keeps pace with rapidly evolving AI/ML tooling and best practices.

Behavioral Competencies

• Curiosity: Passion for exploring new technologies and their applications.
• Teamwork: Ability to collaborate effectively with diverse teams.
• Adaptability: Willingness to take on new challenges and adapt to changing priorities.