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

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

As a Machine Learning Engineer at Rippling, you will be part of a team that is building the next generation of workforce management solutions. You will have the opportunity to work on a wide range of machine learning problems, from developing predictive models to building personalized user experiences. Rippling's culture is known for its fast pace, high standards, and emphasis on ownership. You will be surrounded by talented and driven individuals who are passionate about solving complex problems and making a real impact. You will have the opportunity to work with a modern tech stack and contribute to a product that is used by thousands of businesses around the world.

About Rippling

Rippling is a workforce management platform that unifies HR, IT, and finance. The company was founded in 2016 with the mission of making it easy for businesses to manage their employees. Rippling's platform is used by thousands of businesses to manage everything from payroll and benefits to onboarding and offboarding. The company is headquartered in San Francisco, with offices in New York, and Bengaluru. Rippling is a fast-growing company that is backed by some of the world's leading investors.

Salary & Compensation

For a Machine Learning Engineer position at Rippling in 2026, you can expect a competitive salary and a comprehensive benefits package. The estimated salary range for this role is $160K-$250K 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, Rippling offers a range of perks and benefits, including stock options, health insurance, and unlimited paid time off.

Interview Process

The interview process for a Machine Learning Engineer at Rippling 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. 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 Rippling, your day-to-day responsibilities will include:

• Designing, developing, and deploying machine learning models to improve Rippling's products.
• Working with large-scale datasets to extract insights and build predictive models.
• Collaborating with product managers, software engineers, and data scientists to build and improve Rippling's products.
• Staying up-to-date with the latest advancements in machine learning and workforce management.
• Building and maintaining the infrastructure for training and deploying machine learning models.

Skills & Qualifications

To be successful as a Machine Learning Engineer at Rippling, 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

Rippling is a fast-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 workforce management. 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 Rippling, you can visit the company's careers page at rippling.com/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.