3 hours ago
Base Salary
$152k - $190k/yr
Responsibilities
- Build and deploy end-to-end machine learning pipelines covering data curation, training or fine-tuning, evaluation, and high-scale serving.
- Develop deep learning models for security use cases, including transformer-based classifiers, embedding models, and sequence models.
- Adapt, fine-tune, and productionize open-weight LLMs and small language models using LoRA, QLoRA, instruction tuning, and distillation.
- Optimize models for production using quantization, batching, and high-throughput serving.
- Architect and operationalize robust ML services across AWS and GCP using cloud-native service architectures.
- Collaborate with engineering teams to execute organizational AI strategies and solve large-scale technical challenges.
Requirements
- Bachelor’s or advanced degree in Computer Science, Machine Learning, Mathematics, Physics, Statistics, Engineering, or a related field.
- At least 2 years of applied machine learning experience.
- Experience using modern AI/ML frameworks and foundational model workflows to design, train, and deploy intelligent systems at scale.
- Strong understanding of machine learning fundamentals, including loss functions, optimization, regularization, evaluation metrics, and imbalanced or noisy data.
- Strong Python programming skills and hands-on experience with PyTorch, TensorFlow, or JAX.
- Experience training or fine-tuning LLMs and deploying deep learning models such as transformers, embedding models, and generative AI architectures in production.
- Experience with generative AI architectures or scalable inference optimization is preferred.
- Peer-reviewed publications or prominent open-source contributions in modern deep learning are preferred.
Benefits
- Remote position within the United States, with a hybrid preference for Santa Clara, California.
- Full-time position with various health plans, vacation and sick time, parental leave, retirement options, education reimbursement, and in-office perks.
- Inclusive workplace with reasonable support for candidates requiring accommodations or adjustments.
Tech Stack
Categories
About Zscaler
Zscaler builds a cloud-delivered zero trust security platform that replaces traditional network security appliances for enterprises and public-sector organizations. Its Zero Trust Exchange provides secure web gateway, zero trust access, CASB, and cloud firewall services, sold as subscriptions and delivered across 160+ global data centers. Founded in 2007 and headquartered in San Jose, it is a public company on NASDAQ (ZS) serving thousands of customers worldwide.