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 recent challenges and adapt to changing priorities.

📌 R&D Engineer (Pune)
🏢 Ubisoft
📍 Pune