Machine Learning Engineer Position
2 days ago
Zscaler is a leading cloud security company that accelerates digital transformation for enterprises. Our mission is to make the cloud a safe place to do business and provide a seamless experience for users.
As a Senior Machine Learning Engineer, you will be responsible for designing, implementing, and optimizing machine learning solutions to solve real-world business challenges. This role offers an exciting opportunity to directly impact Zscaler's data-driven initiatives and drive innovation across the organization.
Job DescriptionWe are seeking a skilled Machine Learning Engineer with strong expertise in applied modeling to join our team. The ideal candidate will excel at building robust predictive models and deploying scalable systems to solve complex problems.
- Develop and deploy end-to-end machine learning pipelines, from data preprocessing to model deployment.
- Design and implement applied ML models for LLM, predictive analytics, anomaly detection, and optimization.
- Collaborate with cross-functional teams to integrate models into production systems.
- Analyze large datasets to uncover actionable insights and improve model performance.
To be successful in this role, you will need:
- Bachelor's or advanced degree in Computer Science, Machine Learning, Statistics, or a related field.
- 5+ years of applied experience in machine learning and data modeling.
- Proficient in Python, SQL, and ML frameworks (TensorFlow, PyTorch, Scikit-learn).
- Hands-on experience deploying ML models in production using modern tools.
Zscaler offers a comprehensive benefits package, including various health plans, time off plans, parental leave options, retirement options, education reimbursement, and more.
The base salary range for this full-time position is $122,500—$175,000 USD. We are committed to providing a competitive compensation package that reflects your skills and experience.
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