Sr. Machine Learning Engineer

Posted Yesterday
Be an Early Applicant
Bangalore, Bengaluru, Karnataka
Hybrid
Senior level
Cloud • Information Technology • Security • Software • Cybersecurity
Secure, simplify, and transform your enterprise with zero trust.
The Role
The Senior Machine Learning Engineer will architect, build, and maintain ML pipelines, collaborate with stakeholders, optimize C/C++ code, and deploy models on client-side platforms.
Summary Generated by Built In

About Zscaler

Zscaler accelerates digital transformation so our customers can be more agile, efficient, resilient, and secure. Our cloud native Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location.

Here, impact in your role matters more than title and trust is built on results. We believe in transparency and value constructive, honest debate—we’re focused on getting to the best ideas, faster. We build high-performing teams that can make an impact quickly and with high quality. To do this, we are building a culture of execution centered on customer obsession, collaboration, ownership and accountability. 

We value high-impact, high-accountability with a sense of urgency where you’re enabled to do your best work and embrace your potential. If you’re driven by purpose, thrive on solving complex challenges and want to make a positive difference on a global scale, we invite you to bring your talents to Zscaler and help shape the future of cybersecurity.

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.

We're looking for an experienced Senior Machine Learning Engineer to join our Shared Platform Services. Reporting to the Director, Engineering; you'll be responsible for:

  • Architecting, building and maintaining robust, large-scale distributed systems to support the entire ML pipeline on the client side, including data collection, feature engineering, model training, model evaluation, model deployment, and real-time serving
  • Developing functional specifications, assess task requirements and scheduling, and actively participate in the development, debugging, and support of client-side ML solutions
  • Solving complex real-world business problems by working closely with various stakeholders, including data scientists, product management, and product engineering teams
  • Developing implement, and optimize C/C++ code for the efficient execution of machine learning models on client side or server side depending on the use case
  • Integrating and running various machine learning models on client platforms, ensuring optimal performance and resource utilization
What We're Looking for (Minimum Qualifications)
  • 3 years of experience as a Software Engineer including 3+ years of ML platform engineer, with a focus on client-side development.
  • Experience in C/C++ programming for high-performance applications
  • Good understanding of Windows OS and experience building applications on Windows OS using Visual Studio
  • Experience with ONNX runtime for optimizing and deploying machine learning models
  • Experience with SLM models and running different ML models on client-side environments
What Will Make You Stand Out (Preferred Qualifications)
  • Strong experience with LLMs, agent architectures and prompt engineering
  • Strong experience with algorithms and programming skills in building out data collection/processing infrastructure, Machine Learning model training, and serving platforms on client devices
  • Advanced degree or certifications in Machine Learning

#LI-GL2

#LI-Hybrid

At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure.

Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including:

  • Various health plans
  • Time off plans for vacation and sick time
  • Parental leave options
  • Retirement options
  • Education reimbursement
  • In-office perks, and more!

Learn more about Zscaler’s Future of Work strategy, hybrid working model, and benefits here.

By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines.

Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link.

Pay Transparency

Zscaler complies with all applicable federal, state, and local pay transparency rules.

Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.

Top Skills

C/C++
Onnx Runtime
Visual Studio
Windows Os

What the Team is Saying

Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: San Jose, CA
8,697 Employees
Year Founded: 2007

What We Do

Zscaler accelerates digital transformation so our customers can be more agile, efficient, resilient, and secure. Our cloud native Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location.

Why Work With Us

Our impact comes from how we work—every day, in every decision, as one team. Our values and leadership principles are more than words; they're our operating system. They fuel a culture of execution where trust, transparency, and accountability help us deliver meaningful results for our customers, colleagues, and our company.
www.zscaler.com/culture

Gallery

Gallery
Gallery
Gallery
Gallery
Gallery

Zscaler Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Typical time on-site: 3 days a week
HQSan Jose, CA
Alpharetta, GA
Bellevue, WA
Bengaluru, IN
Boston, MA
Burnaby, BC
Melbourne, VIC
Plano, TX
Pune, Maharashtra
Learn more

Similar Jobs

Zscaler Logo Zscaler

Machine Learning Engineer

Cloud • Information Technology • Security • Software • Cybersecurity
Hybrid
Bangalore, Bengaluru, Karnataka, IND
8697 Employees

Zscaler Logo Zscaler

Development Engineer

Cloud • Information Technology • Security • Software • Cybersecurity
Hybrid
Bangalore, Bengaluru, Karnataka, IND
8697 Employees

Zscaler Logo Zscaler

Principal Vulnerability Management Engineer

Cloud • Information Technology • Security • Software • Cybersecurity
Hybrid
Bangalore, Bengaluru, Karnataka, IND
8697 Employees

Zscaler Logo Zscaler

Support Engineer

Cloud • Information Technology • Security • Software • Cybersecurity
Hybrid
2 Locations
8697 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account