Advanced AI Researcher

4 dni temu

Warszawa, Mazovia, Polska Lucid Reality Labs Pełny etat

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Lucid Reality Labs is a pioneering force in the development of cutting-edge XR solutions that transform user experiences and tackle real-world challenges. Our mission is to deliver innovative technologies that redefine interactions, learning, and problem-solving.

This is a fantastic opportunity to be part of our key team, gain hands-on experience with spatial computing technology, and contribute to our mission by developing responsible and impactful technology solutions.

We are seeking an experienced Machine Learning Engineer to research, develop, and implement machine learning models, focusing on large language models customization and fine-tuning.

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, with high proficiency required.
  • Knowledge or hands-on experience with reinforcement learning 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, including data anonymization, encryption, and access control mechanisms.
Bonus Points:
  • Knowledge of other programming languages such as C++ or Java.
  • Experience developing Computer Vision machine learning models.
  • Experience with TensorFlow Lite or other tools for deploying machine learning models on mobile devices.
  • Familiarity with AI Agent frameworks and development.
Responsibilities:
  • Design, develop, and maintain advanced neural network architectures using TensorFlow.
  • Research and experiment with emerging techniques to enhance model performance, reduce latency, and optimize resource usage, including fine-tuning large language models.
  • Convert TensorFlow models to TensorFlow Lite or other mobile-friendly formats.
  • Ensure efficient performance on mobile devices by regularly testing and fine-tuning models across various hardware platforms.
  • Continuously optimize and fine-tune models to meet performance, latency, and resource requirements.
  • Collaborate with engineering teams to implement best practices in containerization, monitoring, and scaling.
  • Partner with cross-functional teams (e.g., product, research) to identify new use cases for LLM-based solutions.
  • Present technical findings and recommendations to both technical and non-technical stakeholders.
  • Maintain awareness of the latest developments in machine learning, TensorFlow, mobile ML deployment, and large language model advancements.
What We Offer:
  • Generous paid time off and sick leave policy.
  • Flexible remote work options.
  • A culture that values creativity, innovation, and growth.
  • An award-winning and diverse team to collaborate with.
  • Access to cutting-edge XR technologies and devices.
  • A dynamic and supportive work environment.

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