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np. Python, Warszawa, Startup

ML/AI Engineer

B2B
AI/ML
remote
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Lucid Reality Labs is pioneering the development of next-generation XR solutions that transform how people interact, learn, and solve challenges in a rapidly evolving world. Our mission is to deliver cutting-edge technologies that redefine user experiences while addressing real-world needs.

This is a great opportunity to join the key team, gain hands-on experience and exposure to spatial computing technology, and contribute to our Mission by disrupting global challenges with responsible technology!

At the moment we are looking for a Machine Learning Engineer to research, develop, and implement machine learning models, particularly focusing on large language models customization. 

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.
  • Keeping abreast of the latest developments in machine learning, TensorFlow, mobile ML deployment and large language model advancements.

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

Will be a plus:

  • 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.
  • Familiar with AI Agent frameworks and development.

Soft Skills:

  • Problem-solving
  • Critical thinking
  • Adaptability
  • Attention to detail
  • Collaboration
  • Proactivity
  • Autonomy

What we offer:

  • 24 working days paid vacation, 7 days sick leave, and 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.
Lucid Reality Labs
Outsource
10 - 50
Branża
AR/VR
Założona
2016

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