Machine Learning Engineer II developing production ML models for Affirm’s pay - over - time platform. Building credit decisioning systems, scalable pipelines, and algorithms that predict default and guide approvals.
About the role
- Staff Deep Learning Engineer at NBCUniversal implementing core algorithms for 2D and 3D media datasets. Collaborating with cofounders and deploying large-scale algorithms for high-fidelity content.
Responsibilities
- Implement core deep-learning, computer vision, and (inverse-)procedural modeling algorithms in Python
- Apply cutting-edge research in machine learning and computer graphics to solve real-world problems
- Work closely with cofounders to translate customer requirements into technical milestones
- Deploy and test code on large-scale geospatial datasets, generating 3D content for customers.
- Use Git to manage source code and modularize implementation tasks into executable components.
Requirements
- Master's degree in Computer Science, Engineering, Mathematics, or a related field
- Minimum of 5+ years of relevant industry experience
- Proven experience as a DL Engineer or Applied Research Engineer in a fast-paced environment
- Fluency with Python, Git, and the Unix shell
- Proven experience training and debugging artificial neural networks or adjacent experience
- A strong mathematical background covering linear algebra, statistics, probability, and numerical methods
- Preferred prior experience with modern C++ to interface with data ingestion and product pipelines.
- Effective collaboration with a founding team.
Benefits
- Health insurance services
- Paid time off
- Professional development opportunities
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