Zscaler
Senior Software Engineer, Machine Learning
Zscaler, San Jose, California, United States, 95199
Our Engineering team built the world's largest cloud security platform from the ground up, and we keep building. With more than 100 patents and big plans for enhancing services and increasing our global footprint, the team has made us and our multitenant architecture today's cloud security leader, with more than 15 million users in 185 countries. Bring your vision and passion to our team of cloud architects, software engineers, security experts, and more who are enabling organizations worldwide to harness speed and agility with a cloud-first strategy.
The Cyber and Data Protection team is hiring a Senior level Machine Learning (ML) Software Developer to work with a massive scale of network data, security data, and enterprise data. Working within our Machine Learning platform and reporting to the Sr Engineering Manager, your primary responsibilities include the following:
You will build large-scale distributed systems to support the Machine Learning pipeline, including data collection, feature engineering, model training, model evaluation, model deployment, and real-time service and policy evaluation.
You will apply analytical and math/statistics skills to stay on top of data and to ensure results are consistent and reliable.
You will solve complex real-world business problems (e.g., threat detection, automation, and business intelligence) by working with multiple partners including data scientists, product management, and product engineering teams.
What We're Looking for (Minimum Qualifications)
An algorithm, data structure, computer science foundation
4+ years of industry experiences in AI/ML and in Python
4+ years of experience using distributed data processing such as Spark, BigQuery, or Apache Beam
4+ years of experience building and scaling models based on LightGBM/LLM
4+ years of experience with public cloud services infrastructure offerings such as AWS, GCP, Azure.
4+ years of experience with Docker, Kubernetes, and event messaging such as Kafka, or RabbitMQ
What Will Make You Stand Out (Preferred Qualifications)
Experience with C Coding
Experience setting up SQL/NoSQL database such as Postgres, MongoDB, Redis, and table schema
Experience with machine learning or deep learning related toolset/frameworks, such as Pandas, Numpy, Scikit-learn, TensorFlow, PyTorch.
Familiarity with networking and networking security
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The Cyber and Data Protection team is hiring a Senior level Machine Learning (ML) Software Developer to work with a massive scale of network data, security data, and enterprise data. Working within our Machine Learning platform and reporting to the Sr Engineering Manager, your primary responsibilities include the following:
You will build large-scale distributed systems to support the Machine Learning pipeline, including data collection, feature engineering, model training, model evaluation, model deployment, and real-time service and policy evaluation.
You will apply analytical and math/statistics skills to stay on top of data and to ensure results are consistent and reliable.
You will solve complex real-world business problems (e.g., threat detection, automation, and business intelligence) by working with multiple partners including data scientists, product management, and product engineering teams.
What We're Looking for (Minimum Qualifications)
An algorithm, data structure, computer science foundation
4+ years of industry experiences in AI/ML and in Python
4+ years of experience using distributed data processing such as Spark, BigQuery, or Apache Beam
4+ years of experience building and scaling models based on LightGBM/LLM
4+ years of experience with public cloud services infrastructure offerings such as AWS, GCP, Azure.
4+ years of experience with Docker, Kubernetes, and event messaging such as Kafka, or RabbitMQ
What Will Make You Stand Out (Preferred Qualifications)
Experience with C Coding
Experience setting up SQL/NoSQL database such as Postgres, MongoDB, Redis, and table schema
Experience with machine learning or deep learning related toolset/frameworks, such as Pandas, Numpy, Scikit-learn, TensorFlow, PyTorch.
Familiarity with networking and networking security
#LI-Onsite
#LI-AM12
#J-18808-Ljbffr