Machine Learning / Artificial Intelligence Engineer

January 29

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Lucid Reality Labs

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Lucid Reality Labs is a leading provider of extended reality (XR) solutions, specializing in immersive platforms that integrate augmented reality (AR), virtual reality (VR), and mixed reality (MR) technologies. Their flagship product, iXR™, combines XR with artificial intelligence (AI) to offer personalized and sophisticated digital experiences for various industries. Their modular architecture system allows for tailored XR solutions, which are particularly impactful in fields such as healthcare, education, and enterprise training. Lucid Reality Labs partners with clients to innovate and transform products and solutions, focusing on enhancing training, remote collaboration, and operations. With a strong emphasis on exceptional visual fidelity and user engagement, they help clients across diverse sectors explore and leverage the potential of spatial computing technologies.

Mixed Reality • Augmented Reality • Virtual Reality • XR • VR

11 - 50 employees

🥽 AR/VR

🤖 Artificial Intelligence

📋 Description

• Lucid Reality Labs is pioneering next-gen XR solutions to transform interaction, learning, and problem-solving. • Opportunity to join a key team, gain hands-on experience, and disrupt global challenges with technology. • Research, develop, and implement machine learning models focusing on large language models customization.

🎯 Requirements

• Bachelor’s degree in Computer Science, Mathematics, or a related field (Master’s is a plus). • Proven experience as a Machine Learning Engineer or in a similar role. • Strong foundation in data structures, mathematics, algorithms, probability, statistics, and software architecture. • Experience building and optimizing various neural architectures. • Familiarity with LLM fine-tuning, prompt engineering, and inference optimization. • Ability to write robust code in Python. Python proficiency is especially important. • ML Frameworks & Libraries: TensorFlow, Keras, PyTorch, scikit-learn, etc. • Knowledge or hands-on experience with reinforcement learning to the requirements and its practical applications. • Experience working with databases (e.g., SQL, NoSQL) for data storage, retrieval, and management. • Proficient with Git and ML-specific version control solutions (DVC, MLflow). • Ability to prepare comprehensive documentation for models, algorithms, and experiments. • Skilled at conveying complex technical topics to both technical and non-technical audiences. • Experience working with Generative AI frameworks such as Langchain, Hugging Face Transformers, LlamaIndex, etc. • Experience with vector search systems, knowledge graphs, and RAG architecture. • Hands-on experience with deploying models in cloud architectures such as Azure/AWS and containerized platforms like Docker or Kubernetes. • Strong understanding of privacy and data security principles when handling sensitive data in LLM applications. • Experience implementing security guardrails for generative AI systems, such as data anonymization, encryption, and access control mechanisms. • Knowledge of other programming languages such as C++ or Java is a plus. • Experience developing Computer Vision machine learning models is a plus. • Experience with TensorFlow Lite or other tools for deploying machine learning models on mobile devices is a plus. • Familiar with AI Agent frameworks and development.

🏖️ Benefits

• 24 working days paid vacation, • 7 days sick leave, • public holidays, • Flexible working hours of remote work, • Open-minded and outside-the-box ideas embodied in life, • Award-winning and diverse team to grow together, • Access to the newest XR technologies and devices, • Minimum bureaucracy and a great working environment.