Staff Machine Learning Scientist
Netskope is hiring a Staff Machine Learning Scientist in Taipei, Taiwan. Level rates it ; you can apply on Netskope.
Level's read on this job
- Level rates this role Builds AI ●●●●: the job is building AI systems.
- The posting mentions TensorFlow and NLP among its tools and skills.
- Level classes it as a lead role.
- Netskope has 127 other open roles on Level.
- Posted in the last few days.
AI in this role
Join the Future of Security at Netskope
Netskope (NASDAQ: NTSK) is a leader in modern security and networking for the cloud and AI era. We secure and accelerate cloud, data, and AI in real time, everywhere. Thousands of customers, including more than 30 of the Fortune 100, trust the Netskope One platform, its Zero Trust Engine, and the powerful NewEdge network to gain full visibility and control without performance trade-offs.
At Netskope, our technology is driven by our greatest strength: our people. We believe that belonging powers innovation, and success is both personal and organizational. We embrace differences in gender, ethnicity, beliefs, ability, and identity, creating an environment where every voice is heard and respected. We empower our employees to bring their authentic selves to work, grow their careers through continuous education and mentorship, and lead with transparency and curiosity. Join a team where you belong, where you are encouraged to be an entrepreneur, and where together, we continue to redefine the landscape of security.
Visit Careers at Netskope to learn more. Follow us on LinkedIn and Instagram.
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 scientist 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 and AI security. You will have the opportunity to work with a team of talented engineers, researchers, and machine learning engineers to solve the most challenging cloud security problems today.
What you will be doing
- Identify strong AI/ML use cases in AI security, data security, and adjacent domains, leveraging Netskope’s rich set of data sources
- Define scalable data acquisition and labeling strategy for specific use cases
- Work with data engineers to retrieve, clean, and normalize data and ensure a scalable and continuous high-quality data stream
- Work closely with threat research and development teams in feature engineering, making sure high-quality feature sets are chosen in a systematic way
- Develop ML models for defined use cases and implement KPIs to ensure optimal algorithms and results
- Conduct strict internal testing to ensure high efficacy, low false positive and false negative rate
- Interpret results and communicate findings
- Document use case, data acquisition, feature engineering, training, validation, deployment, future improvement opportunity, and other important aspects
- Work closely with development and QE teams in productization
- Be an evangelist of AI/ML within Netskope and promote AI/ML wherever applicable, beyond security use cases
- 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
- 4+ years of industry experience in developing AI/ML models, 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
- Advanced degree in Computer Science, Statistics, Electrical Engineering, or equivalent technical degree
#LI-SC3
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.
Netskope respects your privacy and is committed to protecting the personal information you share with us, please refer to Netskope's Privacy Policy for more details.
The application window for this position is expected to close within 50 days. You may apply by filling out the below information, or visiting our Netskope Careers site.
How we rate this
Staff Machine Learning Scientist at Netskope rates 88 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- What NLP problem have you worked on, and how did you measure whether it actually worked?
- Walk me through how you've used TensorFlow in your day-to-day work.
- How would you decide a model or AI system is ready to ship?
- Tell me about a time a model underperformed in production. How did you find out, and what did you change?
Adapt your resume
- List these exact terms on your resume: NLP and TensorFlow. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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