Z
Machine Learning Engineer - User Behaviour
San Francisco, CA
Full-time
Posted 4 days ago
Entry level
On-site
AIMLEngineering and Information TechnologyTechnology, Information and Media
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
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.
- 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.
- 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.
- 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.
Source: LinkedIn
Be among the first 25 applicants
Want to automate your business processes?
Streamline your workflow and increase productivity with our AI-powered automation solutions.
Visit AI-Task-Automation.com