Offer summary
Qualifications:
4+ years as a Machine Learning Engineer or Data Scientist, Experience deploying low-latency ML systems at scale, Proficient in Python and software engineering principles, Expertise managing end-to-end data lifecycle for ML products, Familiarity with ML tools like PyTorch and scikit-learn.
Key responsabilities:
- Build and deploy ML systems to prevent abuse and spam
- Develop reusable ML features using user behavior modeling and language processing
- Design and evaluate experiments to assess ML model impact
- Ensure engineering excellence in scalable ML infrastructure
- Collaborate with product management and engineering teams for effective execution