Machine Learning Engineer

Job Description

Job Description

We're looking for engineers who thrive in building intelligent, user-adaptive systems that operate in real-time environments. You will work on models that understand and anticipate user behaviour, helping drive proactive, low-latency experiences across immersive platforms. . Your work enables real-time pre-rendering, hyper-personalization, and seamless interactivity in VR/AR worlds — making our system feel like it knows what you need before you ask.

This role bridges AI, NLP, behavioural modelling, and real-time system design.

Responsibilities

• Design, develop, and implement machine learning models and algorithms.

• Build predictive models to anticipate user actions (voice, gaze, gestures) and proactively trigger content generation and pre-rendering.

• Implement NLP-powered systems to understand and forecast conversational user input in XR contexts.

• Design personalization algorithms that adapt content and UI to individual user behaviour and preferences.

• Collaborate with cloud engineers to integrate predictive models with rendering workflows for ultra-low-latency experiences.

• Continuously improve prediction accuracy using live user session data and feedback loops.

• Analyse and preprocess large datasets to extract useful features for model training.

Requirements

• 5+ years experience with user behaviour modelling, natural language processing, and multi-modal interaction data.

• Proficient in Python, TensorFlow or PyTorch, and NLP frameworks (e.g., HuggingFace Transformers).

• Familiarity with personalization algorithms, recommendation systems, or reinforcement learning.

• Experience with cloud platforms such as AWS, Google Cloud, or Azure for deploying machine learning solutions.

• Solid understanding of algorithms, data structures, and software engineering principles.

• Excellent problem-solving skills, attention to detail, and a passion for continuous learning in the field of AI and machine learning.

• Bonus: Experience integrating ML into interactive or XR applications.

What We Value

• Comfortable navigating ambiguity and working independently.

• Action-oriented with a practical approach to solving complex problems.

• Strong ownership mentality and proven delivery on high-impact projects.

• Clear communicator with strong collaboration skills, especially with technical teams.

• Experience building from the ground up in fast-moving startup environments.

• Genuine enthusiasm for accelerating ML research and deployment in creative space.

Bonus Skills (Nice-to-Have)

• Experience with ML pipelines involving video, image, or 3D data.

• Familiarity with distributed compute frameworks (e.g., Ray) or orchestration tools (e.g., Flyte).

• Familiarity with game engines (Unreal or Unity)

• Knowledge of vector databases and similarity search (e.g., LanceDB).

• Prior work in AI/ML research settings or startups.

• Contributions to open-source ML/data infrastructure projects.

• Experience designing tools directly for researchers or technical users.