Machine Learning Engineer - 3D Job at 01c, Remote

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  • 01c
  • Remote

Job Description

Looking for a Machine Learning Engineer (3D Foundation Model Specialist) to design and fine-tune the AI models that generate and manipulate 3D assets on the fly. You’ll be at the core of a multi-modal, low-latency system that understands what users want and brings it to life through generative AI and cloud rendering.

Responsibilities

  • Design, fine-tune, or train 3D generative models (e.g. NeRFs, Gaussian Splatting, 3D diffusion, or transformers) for asset creation and manipulation.

  • Build robust data pipelines to manage large 3D datasets: meshes, textures, point clouds, animations.

  • Optimize model inference for real-time rendering — targeting seamless integration with AR/VR pipelines.

  • Collaborate closely with cloud infrastructure and graphics engineers to deploy models on GPU-powered cloud environments and stream results to users in milliseconds.

  • Stay on the frontier of 3D AI research: monitor papers, benchmark SOTA models, and integrate cutting-edge techniques into production.

Ideal Candidate

  • Strong experience with 3D AI and computer vision (point clouds, meshes, NeRFs, diffusion models, or similar).

  • Proficient in Python, PyTorch or TensorFlow, and familiar with libraries like Open3D, Kaolin, or NVIDIA Omniverse.

  • Experience training large models on cloud platforms (AWS, GCP, Azure) using GPU clusters.

  • Passionate about real-time systems and immersive technology (VR/AR/XR).

  • Bonus: Experience with integrating AI models into real-time engines (Unity, Unreal, WebGL/WebGPU).

What We Value

  • Comfortable navigating ambiguity and working independently.

  • Action-oriented with a practical approach to solving complex problems.

  • Strong ownership mentality and proven delivery on high-impact projects.

  • Clear communicator with strong collaboration skills, especially with technical teams.

  • Experience building from the ground up in fast-moving startup environments.

  • Genuine enthusiasm for accelerating ML research and deployment in creative space.

Bonus Skills (Nice-to-Have)

  • Experience with ML pipelines involving video, image, or 3D data.

  • Familiarity with distributed compute frameworks (e.g., Ray) or orchestration tools (e.g., Flyte).

  • Familiarity with game engines (Unreal or Unity)

  • Knowledge of vector databases and similarity search (e.g., LanceDB).

  • Prior work in AI/ML research settings or startups.

  • Contributions to open-source ML/data infrastructure projects.

  • Experience designing tools directly for researchers or technical users.

Job Tags

Full time,

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