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Machine Learning Engineer - User Behaviour

Zero One Creative
London
3 weeks ago
Applications closed

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Machine Learning Engineer - User Behaviour

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Machine Learning Engineer - User Behaviour

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Join to apply for theMachine Learning Engineer - User Behaviourrole atZero One Creative

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.

Seniority level

  • Seniority levelMid-Senior level

Employment type

  • Employment typeFull-time

Job function

  • Job functionEngineering and Information Technology
  • IndustriesTechnology, Information and Media

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