Machine Learning Engineer

Found in: Jooble UK C2 - 2 weeks ago

United Kingdom Giraffe360 Full time

We are on the hunt for a Machine Learning specialist with a deep specialization in Neural Radiance Fields (NeRF) and Gaussian Splatting techniques. This role is designed for an individual who thrives in pushing the boundaries of digital imagery and spatial computing, translating complex visual data into stunning, high-fidelity 3D representations. The ideal candidate will possess a robust understanding of the theoretical and practical applications of these advanced machine learning models and is skilled in leveraging them to solve real-world problems. This position is flexible in terms of collaboration and can be adapted as permanent, freelance, outsource, or consultation-based, depending on the candidate's preference and circumstances. We are looking for someone who is not only passionate about the technical intricacies of machine learning and 3D modeling but also committed to contributing their expertise to a team that's at the forefront of visual technology innovation.

Your Responsibilities:

  • Develop, refine, and implement machine learning models specializing in NeRF and Gaussian Splatting for the creation of detailed 3D representations from 2D images.
  • Collaborate with cross-functional teams to integrate these models into broader systems, ensuring seamless functionality and optimization.
  • Keep up with ongoing research to stay ahead of the curve in 3D scene reconstruction technologies, incorporating the latest findings into our projects.
  • Work closely with data scientists and engineers to enhance model efficiency, performance, and scalability.
  • Design and execute rigorous testing protocols to validate the accuracy and reliability of models.
  • Provide expert consultation and technical leadership in machine learning projects, particularly those involving advanced visualization and spatial computing.
  • Contribute to the development of proprietary algorithms and techniques that offer competitive advantages in 3D modeling and reconstruction.

Our Requirements:

  • Proven expertise in machine learning, with a specific focus on NeRF and Gaussian Splatting technologies.
  • Strong background in computer vision, particularly in 3D reconstruction and spatial computing.
  • Proficiency in programming languages such as Python or C++, and familiarity with machine learning frameworks like TensorFlow or PyTorch.
  • Demonstrated experience in managing large datasets and understanding of data preprocessing techniques specific to 3D modeling.
  • Ability to work collaboratively in a team environment, as well as independently on complex problems.
  • Excellent problem-solving skills and a dedication to maintaining high-quality standards in a fast-paced development environment.

If you are driven by the challenge of transforming the way we perceive and interact with digital environments and have the expertise in NeRF or Gaussian Splatting technologies, we would love to explore this journey with you.

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