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Remote Machine Learning Engineer, NeRF / Gaussian Splatting

at DigitalFish, Inc

Posted 16 hours ago 1 applied

Description:

  • DigitalFish is seeking a Machine Learning Engineer with expertise in NeRF (Neural Radiance Fields) and Gaussian Splatting.
  • The role involves developing and implementing state-of-the-art neural radiance field models for applications such as novel view synthesis, 3D reconstruction, and relighting.
  • The candidate will collaborate with cross-functional teams to integrate these models into existing systems and products.
  • Responsibilities include designing and implementing efficient algorithms for training and deploying neural radiance field models, evaluating their performance, and identifying areas for improvement.
  • The engineer will write clean, maintainable, and well-documented code while prioritizing usability, maintainability, scalability, and ease of debugging.
  • Collaboration with researchers and software engineers is essential.

Requirements:

  • A Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field is required.
  • A strong background in computer vision, machine learning, and deep learning is necessary.
  • Experience with neural radiance fields and techniques such as volume rendering, Gaussian splatting, and differentiable rendering is essential.
  • Proficiency in Python and experience with deep learning frameworks like PyTorch are required.
  • Strong troubleshooting and debugging skills are necessary.
  • Clear and effective written and verbal communication skills are essential.
  • Demonstrated successful collaboration with teams from varying domains and backgrounds is required.
  • Familiarity with basic computer vision concepts, including depth estimation and multiple view geometry, is necessary.
  • Experience with large-scale dataset processing and management is preferred.
  • Knowledge of C++ and experience with real-time graphics programming is a plus.
  • Experience with building and maintaining ML infrastructure is preferred.

Benefits:

  • The annual compensation includes equity based on qualifications.
  • The salary range for this position is $125,000 to $150,000 plus equity, depending on qualifications.
  • The base pay will consider internal parity, job-related knowledge, skills, and experience.
  • Health insurance benefits include medical, dental, vision, and life insurance.
  • Employees receive discounts on movie tickets, theme parks, hotels, Broadway and Vegas shows, shopping partners, and more.
  • A flexible working environment is offered along with additional benefits.