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Machine Learning Engineer

Kloudless

Kloudless

Software Engineering
Taipei City, Taiwan
Posted on Wednesday, March 6, 2024

About Netskope

Today, there's more data and users outside the enterprise than inside, causing the network perimeter as we know it to dissolve. We realized a new perimeter was needed, one that is built in the cloud and follows and protects data wherever it goes, so we started Netskope to redefine Cloud, Network and Data Security.

Since 2012, we have built the market-leading cloud security company and an award-winning culture powered by hundreds of employees spread across offices in Santa Clara, St. Louis, Bangalore, London, Melbourne, Taipei, and Tokyo. Our core values are openness, honesty, and transparency, and we purposely developed our open desk layouts and large meeting spaces to support and promote partnerships, collaboration, and teamwork. From catered lunches and office celebrations to employee recognition events (pre and hopefully post-Covid) and social professional groups such as the Awesome Women of Netskope (AWON), we strive to keep work fun, supportive and interactive. Visit us at Netskope Careers. Please follow us on LinkedIn and Twitter@Netskope.

About the role

Please note, this team is hiring across all levels and candidates are individually assessed and appropriately leveled based upon their skills and experience.

Within Netskope Engineering, the Netskope AI Labs is responsible for advancing state-of-the-art artificial intelligence (AI) and machine learning (ML) technology to power the Netskope Intelligent Security Service Edge (SSE) security platform. Leveraging our expertise in AI/ML and security, we are developing large-scale AI/ML solutions for SSE. For example, we are integrating the latest AI/ML technology into our data security and threat protection features, as well as business operations.

What’s in it for you

We are looking for a talented and motivated machine learning engineer to join our team. A successful candidate has deep technical expertise in applying AI/ML technologies in security applications and/or adjacent domains, and must be passionate about cloud security. You will have the opportunity to work with a team of talented engineers, researchers, and machine learning scientists to solve the most challenging cloud security problems today.

What you will be doing

  • Collaborating with ML scientists, engineers, and other stakeholders to understand data and business requirements
  • Developing and implementing machine learning pipelines and workflows
  • Ensuring models are robust, scalable, and well-documented
  • Contributing to the development of our machine learning platform and infrastructure
  • Staying up-to-date with the latest developments in AI/ML such as large language models (LLM)

Required skills and experience

  • Must have a true startup spirit and be willing to wear multiple hats and deliver end-to-end solutions
  • 5+ years of industry experience in applying AI/ML, preferably on security products or services
  • Hands-on experience with relevant technology stacks such as CUDA, Python, Tensorflow, LLM, etc.
  • Hands-on experience using modern big data pipelines and cloud computing platforms such as AWS, Azure, or GCP
  • Natural language process (NLP) and data mining experience highly desirable
  • Energetic self-starter with the desire to work in a dynamic fast-paced environment
  • Excellent verbal and written communication skills and ability to explain complex concepts to non-technical stakeholders
  • Ability to influence without authority

Education

  • Bachelor's or Master's degree in Computer Science, Electric Engineering, or equivalent technical degree

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Netskope is committed to implementing equal employment opportunities for all employees and applicants for employment. Netskope does not discriminate in employment opportunities or practices based on religion, race, color, sex, marital or veteran statues, age, national origin, ancestry, physical or mental disability, medical condition, sexual orientation, gender identity/expression, genetic information, pregnancy (including childbirth, lactation and related medical conditions), or any other characteristic protected by the laws or regulations of any jurisdiction in which we operate.

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