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Machine Learning Engineer
Architect and implement scalable machine learning systems for compensation modeling across various companies.
New York
Senior
$205,700 - 278,300 USD / year
1 month ago
✨ About The Role
- The Machine Learning Engineer will architect and implement scalable ML systems for modeling compensation both within individual companies and across the market.
- Collaboration with product and engineering teams will be necessary to identify opportunities for ML-driven solutions.
- The role involves evolving the technical direction of ML initiatives across the company.
- The position is expected to drive significant revenue growth, potentially in the millions of dollars.
- The candidate will be part of a data team focused on redefining how companies understand the labor market and determine compensation.
⚡ Requirements
- The ideal candidate will have over 5 years of experience in building and deploying machine learning models in production environments.
- A strong foundation in machine learning, statistics, and deep learning fundamentals is essential for success in this role.
- Proficiency in Python and familiarity with modern ML frameworks such as PyTorch or TensorFlow is required.
- The candidate should have experience with large-scale data processing and optimization of ML models.
- Strong software engineering practices and experience with production systems are crucial for this position.
- The ability to navigate ambiguity and bring structure to projects is important, as is the capability to scale projects effectively.
About Pave
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