Machine Learning Innovator

7 dni temu

Warszawa, Mazovia, Polska Lucid Reality Labs Pełny etat

Enhance user experiences:

Lucid Reality Labs is a pioneer in XR technology, creating innovative solutions that redefine how people interact, learn, and solve challenges. Our mission is to deliver cutting-edge technologies that address real-world needs.

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 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.

Core 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 Skills:
  • 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.
Job 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.
Work Environment:
  • 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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