Full-Time Senior Machine Learning Engineer

About Zscaler: Zscaler (NASDAQ: ZS) is a cloud security company serving thousands of enterprise customers, including 40% of Fortune 500 companies. Zscaler accelerates digital transformation and provides security for users, devices, and applications. The company fosters an inclusive culture with a focus on innovation.

Job Overview: This role involves developing and deploying AI/ML pipelines, designing and implementing ML models (LLM, predictive analytics, anomaly detection, optimization), integrating AI into production SaaS offerings, analyzing large datasets for insights, and staying updated on ML advancements to solve business problems. Reporting to the EVP, Head of AI Innovations, the Senior Machine Learning Engineer will work closely with the team.

Requirements:

• Minimum: 2+ years Machine Learning Engineering or Data Science experience, Bachelor's/Master's degree (or higher) in relevant fields, 5+ years applied ML/data modeling experience. Proficient in Python, SQL, ML frameworks (TensorFlow, PyTorch, Scikit-learn), statistical modeling (regression, clustering, decision trees), model deployment, data manipulation, visualization tools (Matplotlib, Tableau).
• Preferred: Experience with cloud platforms (AWS, Azure, GCP), deep learning, neural networks, domain-specific AI solutions (NLP), cloud-native/microservice architectures.

Compensation: Salary range $105,000 - $150,000 USD (base).

Company Culture: Zscaler prioritizes diversity, inclusion, and provides comprehensive benefits (health, time off, parental leave, retirement, education reimbursement, perks).

Equal Opportunity Employer: Zscaler is an equal opportunity employer committed to diversity and inclusion.

What is the last date for applying to the job?

Which countries are accepted for this remote job?