ML Engineer at Wiz: Salary, Interview & Career Guide (2026)

What It's Like to Be a ML Engineer at Wiz

As a Machine Learning Engineer at Wiz, you'll be at the forefront of cloud security, working on cutting-edge solutions to protect some of the world's largest and most innovative companies. You'll be part of a dynamic and fast-growing team that is passionate about solving complex challenges and making a real impact. The culture at Wiz is known for its openness, transparency, and collaborative spirit, providing a supportive environment for professional growth and development. You'll have the opportunity to work with a modern tech stack and contribute to a product that is a clear leader in the cloud security space.

About Wiz

Wiz is a cloud security platform that enables organizations to secure their cloud infrastructure at scale. Founded in 2020, Wiz has quickly become one of the fastest-growing software companies in history, achieving a multi-billion dollar valuation in just a few years. The company is headquartered in New York City, with a strong presence in Israel and other locations around the world. Wiz is on a mission to help organizations of all sizes embrace the cloud with confidence, by providing a platform that is easy to use, effective, and loved by both security and development teams.

Salary & Compensation

For a Machine Learning Engineer position at Wiz in 2026, you can expect a competitive salary and a comprehensive benefits package. The estimated salary range for this role is $170K-$260K per year, which includes base salary and potential bonuses. This range can vary based on your experience, skills, and location. In addition to a competitive salary, Wiz offers a range of perks and benefits, including stock options, health insurance, and generous paid time off.

Interview Process

The interview process for a Machine Learning Engineer at Wiz typically consists of 4-5 rounds and is designed to assess your technical skills, problem-solving abilities, and cultural fit. The process usually starts with an initial screening call with a recruiter, followed by a technical phone screen that may include coding challenges (similar to LeetCode). If you pass the initial screens, you'll move on to a series of virtual or on-site interviews with members of the engineering team. These interviews will cover topics such as machine learning theory, system design, data structures and algorithms, and your past experience. You can also expect a behavioral interview to assess your communication and collaboration skills.

Day-to-Day Responsibilities

As a Machine Learning Engineer at Wiz, your day-to-day responsibilities will include:

• Designing, developing, and deploying machine learning models to detect and respond to cloud security threats.
• Working with large-scale datasets to extract insights and build predictive models.
• Collaborating with product managers, software engineers, and security researchers to build and improve Wiz's products.
• Staying up-to-date with the latest advancements in machine learning and cloud security.
• Building and maintaining the infrastructure for training and deploying machine learning models.

Skills & Qualifications

To be successful as a Machine Learning Engineer at Wiz, you'll need a strong foundation in computer science, machine learning, and software engineering. Key skills and qualifications include:

• A degree in Computer Science, a related technical field, or equivalent practical experience.
• Proven experience in building and deploying machine learning models in a production environment.
• Proficiency in programming languages such as Python, and experience with machine learning libraries and frameworks like TensorFlow, PyTorch, or scikit-learn.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration skills.

Career Growth

Wiz is a rapidly growing company, which means there are ample opportunities for career growth and advancement. As a Machine Learning Engineer, you can grow into a senior or lead role, or you can choose to specialize in a particular area of machine learning or cloud security. The company is committed to investing in its employees' professional development and provides opportunities for learning and growth through mentorship, training, and challenging projects.

How to Apply

To apply for a Machine Learning Engineer position at Wiz, you can visit the company's careers page at wiz.io/careers. You can also find open positions on LinkedIn and other job boards. When you apply, be sure to highlight your relevant experience and skills, and tailor your resume and cover letter to the specific role you're interested in.