Machine Learning Engineer

11 Months ago • All levels

Job Summary

Job Description

Machine Learning Engineer needed for developing next-gen XR solutions with strong TensorFlow, Computer Vision, and mobile deployment skills.
Must have:
  • Machine Learning
  • TensorFlow Models
  • Computer Vision
  • Mobile Deployment
Good to have:
  • TensorFlow Lite
  • Keras or PyTorch
  • Version Control
  • C++ Proficiency
Perks:
  • Flexible Hours
  • Award-winning Team

Job Details

Job description

Lucid Reality Labs is developing the next generation XR solutions that change how people experience life, communicate, learn, tackle global challenges, work, and interact with the world.

Our company has been recognized among the Top World companies in XR for years. We offer a systemic and innovative approach to complex solutions for Healthcare, Life Sciences, Aerospace and Defense, Commercial, and Public Sectors. Our award-winning cases create pathways to impactful technology.

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 work with one of our prominent projects.

Come be a part of our journey to create exceptional interactive experiences!


Job requirements

Required Qualifications:

  • Proven experience as a Machine Learning Engineer or similar role.

  • Understanding of data structures, data modeling, and software architecture.

  • Understanding of well-known neural network architectures.

  • Experience developing Computer Vision machine learning models.

  • Deep knowledge of math, probability, statistics, and algorithms.

  • Ability to write robust code in Python, Java, and R. Python proficiency is especially important. C++ is a plus.

  • Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn).

  • Proficient with TensorFlow, specifically for building multilayer recurrent neural networks

  • Experience with TensorFlow Lite or other tools for deploying machine learning models on mobile devices.

  • Experience with Version Control Systems for machine learning such as Git, DVC, and MLflow.

  • A Bachelor's degree in Computer Science, Mathematics, or a similar field. A Master’s degree is a plus.

  • Prepare comprehensive documentation of models, algorithms, and experiments, ensuring they are easily understood by both technical and non-technical stakeholders.

  • Experience streamlining model development and deployment with CI/CD pipelines.

Soft Skills:

  • Problem-solving

  • Critical thinking

  • Adaptability

  • Attention to detail

  • Collaboration

  • Proactivity

  • Autonomy

Responsibilities:

  • Designing and developing multilayer recurrent neural networks using TensorFlow.

  • Optimizing and fine-tuning the neural networks for efficiency and performance.

  • Converting the TensorFlow models to TensorFlow Lite or other formats suitable for running on mobile devices.

  • Ensuring that the machine learning models run efficiently on mobile devices.

  • Regularly testing the models on various mobile devices and optimizing as needed.

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



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.

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