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

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

As a Machine Learning Engineer at Retool, you'll be at the forefront of building AI-native applications that are changing the way businesses operate. You'll have the opportunity to work on a wide range of machine learning problems, from developing cutting-edge AI features to building the infrastructure that powers them. Retool's culture is known for its high hiring bar, fast-paced environment, and emphasis on individual ownership. You'll be surrounded by a team of exceptionally talented and driven individuals who are passionate about building powerful tools that empower developers. You'll have the opportunity to work with a modern tech stack and contribute to a product that is used by thousands of companies, from small startups to large enterprises.

About Retool

Retool is a leading enterprise AI AppGen platform that enables developers to build internal software and AI-native applications with unprecedented speed and efficiency. Founded in 2017, Retool has quickly become a trusted partner for over 10,000 companies worldwide, including Amazon, DoorDash, and NBC. The company is headquartered in San Francisco, with a hybrid work model that embraces both in-office collaboration and remote flexibility. Retool is a fast-growing company that is backed by some of the world's leading investors and is valued at over $3 billion.

Salary & Compensation

For a Machine Learning Engineer position at Retool in 2026, you can expect a highly competitive salary and a comprehensive benefits package. The estimated salary range for this role is $180K-$280K 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, Retool offers a range of perks and benefits, including equity, health insurance, and a generous budget for professional development.

Interview Process

The interview process for a Machine Learning Engineer at Retool typically consists of 4-5 rounds and is designed to be a rigorous assessment of 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 a coding challenge and questions on machine learning fundamentals. 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 system design, algorithms, and your experience with building and deploying ML models. You can also expect a behavioral interview to assess your communication, collaboration, and leadership potential.

Day-to-Day Responsibilities

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

• Designing, developing, and deploying machine learning models and AI features for the Retool platform.
• Working with large-scale datasets to train and evaluate models.
• Collaborating with product managers, designers, and other engineers to bring AI-powered ideas to life.
• Building and maintaining the infrastructure for training, deploying, and monitoring machine learning models.
• Staying up-to-date with the latest advancements in machine learning and AI, and applying them to solve real-world problems.

Skills & Qualifications

To be successful as a Machine Learning Engineer at Retool, you'll need a strong foundation in computer science, machine learning, and software engineering, as well as a passion for building high-quality products. 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 JAX.
• Experience with cloud platforms such as AWS, Azure, or GCP, and with MLOps tools and practices.
• Strong problem-solving and analytical skills, and the ability to work independently and take ownership of projects.
• Excellent communication and collaboration skills, and a desire to work in a fast-paced, team-oriented environment.

Career Growth

Retool is a company that is committed to the growth and development of its employees. As a Machine Learning Engineer, you will have the opportunity to grow into a senior or lead role, or you can choose to specialize in a particular area of machine learning or AI. The company provides a supportive environment for learning and growth, with opportunities for mentorship, training, and challenging projects that will push you to expand your skills and knowledge.

How to Apply

To apply for a Machine Learning Engineer position at Retool, you can visit the company's careers page at retool.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. Be prepared to showcase your passion for building AI-powered products and your ability to thrive in a challenging and rewarding environment.