Machine Learning Engineer

Hilos, Inc. seeks applicants for a full-time Machine Learning Engineer position at our offices in Portland, OR. The specific responsibilities include:

• Research, implement, and optimize deep learning methods for 3D geometry understanding, generation, and reconstruction (explicit and implicit representations).
• Develop pipelines translating sparse/high-level input (sketches, point clouds, prompts) into structured, editable CAD representations.
• Explore reverse-engineering pipelines that extract parametric/code-based primitives from point clouds or mesh scans.
• Build scalable systems for training, evaluating, and deploying 3D ML models, with attention to manufacturability, surface fidelity, and performance.
• Read and replicate state-of-the-art research and integrate ML outputs into CAD-driven workflows with the computational design and software teams.

Minimum Requirements

MS in Computer Science, Machine Learning, Computer Graphics, Computational Design, or a related field. Experience with building and deploying end-to-end 3D mesh-based ML services using PyTorch and Python; experience building end-to-end ML systems. Required experience may be acquired as part of or concurrent with required education. Applicants meeting all requirements, please submit your C.V. to [email protected]

Salary: $110,000- $130,000 (employer will pay or exceed the prevailing wage as determined by the U.S. Department of Labor).