Software Engineer at Baseten — Career Guide 2026
Role Overview
As a Software Engineer at Baseten, you will be instrumental in building and enhancing a cutting-edge platform designed for deploying, serving, and scaling machine learning models. Baseten empowers data scientists and ML engineers to bring their models to production quickly and efficiently. Your role will involve developing core platform features, improving model serving infrastructure, and creating tools that simplify the MLOps lifecycle. This position requires a strong blend of software engineering fundamentals, an understanding of machine learning workflows, and a passion for building developer-friendly products.
Key Responsibilities
- Design and implement scalable microservices for model deployment, inference, and monitoring.
- Develop and optimize the underlying infrastructure for high-performance ML model serving.
- Build user-facing features and APIs that simplify the interaction with the Baseten platform.
- Collaborate with data scientists and ML engineers to understand their pain points and build effective solutions.
- Contribute to the overall architecture and technical direction of the Baseten platform.
Required Skills
Proficiency in Python and/or Go. Experience with cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes). Strong understanding of API design (REST, GraphQL) and database systems. Familiarity with machine learning frameworks (PyTorch, TensorFlow) and MLOps concepts is highly desirable. Experience with distributed systems and performance optimization is a plus.
Interview Process
The interview process typically starts with a recruiter screen, followed by a technical phone screen focused on coding and problem-solving. Subsequent rounds include a system design interview, a coding challenge (often involving building a small application or API), and a behavioral/culture fit interview. Expect discussions around your experience with ML infrastructure, cloud technologies, and how you approach building scalable software. There may also be a dedicated round to discuss MLOps workflows and challenges.
Salary & Compensation
The typical salary range for a Software Engineer at Baseten is $140K-$230K annually, dependent on experience, skill level, and role seniority. This package usually includes a competitive base salary, equity (stock options), and a comprehensive benefits package covering health, dental, vision, and a 401K plan. Compensation is competitive within the ML infrastructure startup space.
Why Join Baseten
Joining Baseten offers the opportunity to work at the forefront of MLOps, solving critical challenges for companies looking to operationalize their machine learning models. You'll be part of a fast-paced, innovative startup environment with a strong engineering culture. Your work will directly impact how businesses leverage AI, and you'll have the chance to contribute to a product that is highly valued by ML practitioners. Baseten provides a collaborative environment where continuous learning and growth are encouraged, and you can make a significant impact on the product and company direction.
Tips for Applicants
- Understand MLOps: Familiarize yourself with the ML lifecycle, from training to deployment and monitoring, and Baseten's role in it.
- Highlight Python/Go and cloud skills: Emphasize practical experience with these core technologies, especially in a production environment.
- Showcase API design and system thinking: Be ready to discuss how you'd design robust, scalable APIs and systems for ML model serving.