Machine Learning Engineer
Description For Machine Learning Engineer
Zscaler, the world's leading cloud security company, is seeking a Machine Learning Engineer to join their innovative team. As a NASDAQ-listed company serving 40% of Fortune 500 clients, Zscaler operates the world's largest security cloud platform. The role offers an exciting opportunity to work on cutting-edge AI and machine learning solutions, directly impacting the company's data-driven initiatives.
The position requires expertise in applied modeling, with responsibilities spanning from developing end-to-end ML pipelines to implementing advanced models for LLM, predictive analytics, and anomaly detection. You'll work with cross-functional teams to deploy scalable solutions that solve real-world business challenges.
The ideal candidate will bring 5+ years of applied ML experience, strong programming skills in Python and SQL, and proficiency with modern ML frameworks. You'll have the opportunity to work with large datasets, implement state-of-the-art ML techniques, and contribute to innovative solutions in cybersecurity.
Zscaler offers competitive compensation ($122,500 - $175,000), comprehensive benefits, and a culture that promotes diversity and inclusion. The role provides the flexibility of remote work, making it an attractive opportunity for talented ML engineers looking to make an impact in cloud security. Join a team that's been recognized as a Best Workplace in Technology by Fortune, and help shape the future of enterprise security through AI innovation.
Responsibilities For Machine Learning Engineer
- 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
- Stay updated on advancements in machine learning and adapt them to solve practical business problems
Requirements For Machine Learning Engineer
- Bachelor's or advanced degree in Computer Science, Machine Learning, Statistics, or related field
- 5+ years of applied experience in machine learning and data modeling
- Proficient in Python, SQL, and ML frameworks (TensorFlow, PyTorch, Scikit-learn)
- Expertise in statistical modeling techniques like regression, clustering, and decision trees
- Hands-on experience deploying ML models in production
- Strong data manipulation and analysis skills
- Demonstrated problem-solving abilities
Benefits For Machine Learning Engineer
- Various health plans
- Time off plans for vacation and sick time
- Parental leave options
- Retirement options
- Education reimbursement
- In-office perks
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