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Deep Learning Engineer (Multimodal Vision Platform)

Matroid

Skills

Required

  • deep learning
  • computer vision
  • software engineering
  • ML
  • Python
  • PyTorch
  • scripts & one-off experiments

Preferred

  • 3D reconstruction
  • productionizing models
  • inference optimization
  • TensorRT
  • Triton Inference Server
  • scene representation
  • COLMAP
  • VGGT

Join our team as a Deep Learning Engineer and play a crucial role in building the models, capabilities, and systems at the core of our multimodal vision platform. You will have significant ownership and impact, taking ideas from research to production and solving visual inspection challenges for our customers. This is a fast-paced, technical role that requires strong software engineering skills, experience in deep learning and computer vision, and a passion for innovation.

Responsibilities

  • Rapidly take ideas from research to production by applying the latest techniques to build and deploy new platform capabilities.
  • Design, adapt, and train models across various tasks including detection, segmentation, anomaly detection, tracking, video understanding, vision-language, and 3D reconstruction.
  • Collaborate with product, infrastructure, and field engineering teams to drive models and capabilities from idea to customer impact.

Requirements

  • Solid oral, written, presentation, collaboration, and interpersonal communication skills
  • Strong software engineering skills in Python and PyTorch; you care about the quality of your code
  • 3+ years of industry and/or academic experience in deep learning, computer vision, and software engineering
  • Excitement about the full range of this work, whether it's building novel video transformer architectures, getting realtime segmentation running on a tiny edge device, or making 3D reconstruction work reliably on customer data
  • Master’s in Computer Science, Software Engineering, Mathematics, or a related field, or a Bachelor’s with equivalent experience
  • Familiarity with modern architectures and techniques: the latest foundation models, how they work, what you can do with them
  • Experience building ML systems & capabilities, not just scripts & one-off experiments
  • Prior work applying computer vision to real-world use cases
  • Experience building or operating multi-tenant ML products
  • Previous work at high-growth technology startups

Preferred

Significant computer vision and deep learning research experience

  • Experience productionizing models, including inference optimization (e.g. TensorRT, ONNX) and serving (e.g. Triton Inference Server)
  • Experience with 3D reconstruction and scene representation (e.g. COLMAP, VGGT, 3D Gaussian splatting, world models)
  • Open-source contributions to ML tooling, cool personal projects, competitions, or hackathons

Pay

USD 200,000 - 350,000