Software Engineer Intern (Machine Learning Platform Team - Spring/Summer 2021) - 2021 Grads

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Position: Software Engineer Intern (Machine Learning Platform Team - Spring/Summer 2021)

Location: San Jose, CA (Remote)

Zscaler is the world's largest inline cloud security platform. It is also one of the fastest-growing SaaS companies on the planet and a once-in-a-generation security company. Zscaler secures more than 150 billion transactions per day, protecting thousands of customers from cyberattacks and data loss. The sheer volume of data Zscaler processes is astronomical to comprehend: Zscaler ZIA product transactions per day are 150 billion while Google searches per day are "only" 5.7 billion.

We work in a fast-paced, dynamic, and make it happen culture. Our people are some of the brightest and passionate in the industry that thrives on being the first and best to solve problems. We are always looking to hire highly passionate, collaborative, and humble people that want to make a difference. 

Responsibilities:

As a Software Engineer Intern, you will work in an award-winning team that does full-cycle full-stack Machine Learning platform development. You will be working with the massive scale of network data, security data, and enterprise data every day. You need to have a passion for building out tools and platforms, processing and analyzing data at scale, and solving real-world business problems.

As a backend software engineer intern within our Machine Learning platform, you have two primary responsibilities:

1) You will help 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. 

2) You will apply analytical and math/statistics skills to stay on top of data and to ensure results are coherent and reliable.

You may not have any prior data science and ML background but need to build up knowledge in this area and tremendous curiosity in how the data can and will be utilized by the data scientist.

Required Skills:

  • Strong algorithm, data structure, computer science background
  • Strong Python and SQL programming skills 
  • Ability to learn, evaluate, and adopt new technologies fast
  • Good understanding of operating systems and distributed systems.
  • Good interpersonal, technical, and communication skills
  • Degree in Computer Science, Machine Learning, or Electrical Engineering from a reputed university. Open to all May/June 2021 grads.

Desirable Skills:

  • Experience with Go, C++, or Javascript
  • Good business sense.
  • Experience with setting up SQL/NoSQL database such as Postgres, MongoDB, Redis, and table schema
  • Experience using distributed data processing such as Spark, BigQuery, or Apache Beam
  • Experience with event messaging such as Kafka, RabbitMQ, etc
  • Experience working with Docker, Kubernetes
  • Experience with machine learning or deep learning related toolset/frameworks, such as Pandas, Numpy, Scikit-learn, TensorFlow, PyTorch, etc.
  • Experience with various public cloud services (such as AWS, Google, Azure) and ML automation platforms (such as Kubeflow).
  • Experience with building quality software by writing robust interfaces, considering design principles, and applying sound testing practice
  • Familiarity with networking and networking security

Why Zscaler and Machine Learning Team?

People who excel at Zscaler are bright, motivated, and share our values. Ask yourself: Do you want to team with the best talent in the industry? Do you want to work on disruptive technology?

Because Zscaler is a Google CapitalG portfolio company, you have an opportunity to enroll in "the training camp where Google shares its AI secrets," as reported by CNBC in 2018.

Learn more at zscaler.com or follow us on Twitter @zscaler. Additional information about Zscaler (NASDAQ : ZS ) is available at http://www.zscaler.com. All qualified applicants will receive consideration for employment without regard to race, sex, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.

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Location

120 Holger Way, San Jose, CA 95134

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