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Kaedim

Series A

Machine Learning Engineer

Singapore London San Francisco New York · Not specified

Annual base salary
See listed compensation
Equity
Not disclosed
Commitment
Not specified
Company stage
Series A

Compensation as listed

San Francisco: $100k – $180k London: £45k – £80k Singapore: S$80k – S$145k

About the Role

As a Machine Learning Engineer, you will play a key role in advancing our machine learning models that power our 2D-to-3D pipeline. You’ll be responsible for developing, optimizing, and deploying ML algorithms that enhance the efficiency and accuracy of our AI tools, enabling us to deliver production-ready 3D models faster than ever.

Responsibilities

  • Collaborate with cross-functional teams, including software engineers and 3D artists, to design, develop, and implement machine learning models for image-to-3D model conversion.
  • Build and optimize machine learning algorithms for computer vision, deep learning, and generative models, improving the speed and quality of 3D model generation.
  • Work on model optimization and scaling to ensure the robustness of AI solutions and manage the efficient processing of large-scale data.
  • Conduct continuous research and stay up-to-date with the latest machine learning advancements, applying them to improve the technology stack.
  • Continuously test and evaluate models, fine-tuning them based on performance feedback and customer needs.

Requirements

  • Strong experience in machine learning and deep learning techniques, with a focus on computer vision, image processing, or generative models.
  • Proficiency in Python and machine learning libraries such as TensorFlow, PyTorch, or Keras.
  • Solid experience with data preprocessing, cleaning, and augmentation for training machine learning models.
  • Hands-on experience with model deployment and versioning
  • Strong understanding of machine learning frameworks and optimization techniques to ensure the scalability and efficiency of models.
  • Experience with cloud platforms (e.g., AWS, GCP, Azure) for deploying machine learning models and managing large datasets.
  • Experience in developing and presenting proof of concepts (PoCs) to demonstrate the feasibility and potential of machine learning solutions for real-world applications.
  • Strong problem-solving skills and the ability to troubleshoot complex issues in model development and deployment.
  • Excellent collaboration and communication skills to work with cross-functional teams and effectively communicate complex concepts to non-technical stakeholders.

Nice to Haves

  • Experience with 3D modeling a big plus

Salary

  • San Francisco: $100k – $180k
  • London: £45k – £80k
  • Singapore: S$80k – S$145k

Source: a16z portfolio. Confirm availability with the employer.

Apply through the original posting.

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