Machine Learning Software Development Engineer

World's largest cloud security platform operator serving thousands of enterprise customers, including 40% of Fortune 500 companies.
Machine Learning
Senior Software Engineer
Hybrid
1,000 - 5,000 Employees
7+ years of experience
AI · Cybersecurity · Enterprise SaaS

Description For Machine Learning Software Development Engineer

Zscaler, the world's largest security cloud operator, is seeking a Machine Learning Software Development Engineer to join their innovative Engineering team. Founded in 2007, Zscaler serves thousands of enterprise customers globally, including 40% of Fortune 500 companies. The company's pioneering AI-powered Zscaler Zero Trust Exchange™ platform protects enterprises from cyberattacks and data loss.

As a Machine Learning Software Development Engineer, you'll work with a team that has built and maintains the world's largest cloud security platform, protected by over 100 patents. You'll be responsible for developing and implementing sophisticated ML models for performance analysis, predictive modeling, and anomaly detection. The role combines deep technical expertise in machine learning with practical software engineering skills.

The position offers an opportunity to work with cutting-edge AI/ML technologies while solving real-world cybersecurity challenges. You'll be part of a fast-paced, collaborative environment that values innovation and technical excellence. Zscaler's inclusive culture has earned it recognition as a Best Workplace in Technology by Fortune.

The company offers comprehensive benefits including health plans, parental leave, retirement options, and education reimbursement. This hybrid role provides the flexibility of modern work arrangements while maintaining collaborative opportunities with some of the brightest minds in the industry. If you're passionate about machine learning, cybersecurity, and building solutions that protect thousands of organizations worldwide, this role at Zscaler presents an excellent opportunity to make a significant impact.

Last updated 6 days ago

Responsibilities For Machine Learning Software Development Engineer

  • Lead identification and resolution of performance issues through model development
  • Develop and maintain predictive models for user behavior and system performance
  • Implement AI/ML algorithms for anomaly detection
  • Oversee ML projects lifecycle from analysis to production deployment
  • Design and create visualizations to communicate findings to stakeholders

Requirements For Machine Learning Software Development Engineer

Python
Kubernetes
  • 3+ years of experience as a Software Engineer or ML platform engineer
  • Proficiency with data science tools (Python, R, TensorFlow, SQL)
  • 7+ years of experience in Python and SQL
  • Expertise in multi-dimensional anomaly detection algorithms
  • Experience in building and deploying ML models in production environments

Benefits For Machine Learning Software Development Engineer

Medical Insurance
Dental Insurance
Vision Insurance
Parental Leave
401k
Education Budget
  • Various health plans
  • Vacation and sick time
  • Parental leave options
  • Retirement options
  • Education reimbursement
  • In-office perks

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