R&D Engineer

Job Description

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. 

Qualifications

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 

Additional Information