Ubisoft
Ubisoft is a global leader in gaming with teams across the world creating original and memorable gaming experiences, from Assassin’s Creed, Rainbow Six to Just Dance and more. We believe diverse perspectives help both players and teams thrive. If you’re passionate about innovation and pushing entertainment boundaries, join our journey and help us create the unknown! 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#.