R&D Engineer

Job Summary 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.

This role provides an excellent opportunity to gain hands-on experience in software development, automation, and quality control processes within the gaming industry.

Job Duties / Responsibilities Core 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.

Learning Opportunities Gain hands-on experience with software development and automation tools.

Develop a deeper understanding of software testing lifecycles.

Enhance coding and debugging skills in a collaborative environment.

Learn about CI/CD pipelines and version control systems.

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.

Seniority: Having at least 5 years of coding experience in above languages, B.E/BTech/MTech/MS Computer Science in computer science or equivalent.

Technical Competencies Hands on Knowledge of Python programming.

Good understanding of AI/ML concepts.

Familiarity with software development and testing processes.

Exposure to CI/CD tools (e.g., Jenkins, TeamCity) and version control systems (e.g., Git).

Solid understanding of debugging and troubleshooting techniques.

Good to have understanding of other languages such as C++ and C#.

Nice to have experience working with game engine