What are the responsibilities and job description for the Software Engineer - Core Product position at Baseten?
ABOUT BASETEN
Baseten powers inference for the world's most dynamic AI companies, like OpenEvidence, Clay, Mirage, Gamma, Sourcegraph, Writer, Abridge, Bland, and Zed. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. With our recent $150M Series D funding, backed by investors including BOND, IVP, Spark Capital, Greylock, and Conviction, we’re scaling our team to meet accelerating customer demand.
THE ROLE
As a Software Engineer on the Core Product team at Baseten, you'll be building and maintaining the core Baseten product, enabling users to deploy and get value from ML models as easily as possible. As a developer-oriented product, we have a massive surface area, including all of our CLI tools, REST APIs, and the web application. The Core Product team is at the forefront of all new product development at the company.
EXAMPLE INITIATIVES
You'll get to work on these types of projects as part of our Core Product team:
- Chains for multi-component workflows
- Asynchronous inference
- Model APIs for frontier models
- Model training built for production inference
RESPONSIBILITIES
- Implement new features & products for the team
- Design ergonomic APIs and abstractions to solve customer problems
- Fix bugs & resolve customer issues with urgency
- Work across the stack — regardless of where you start, you’ll end up touching both React Components and Kubernetes Pods.
- Work closely with the product & forward deployed engineering teams to develop and drive new product ideas
REQUIREMENTS
- Bachelor's degree or higher in Computer Science or related field
- 1-3 years experience in software engineering or infrastructure
- Proficient coding abilities in one or more popular programming or scripting languages; Python, Go, or Javascript proficiency is a plus
- Familiarity with web applications & databases
- Good taste in product, particularly developer-oriented tools
- Interest in ML/AI infrastructure and willingness to learn
- Strong collaboration and communication skills
BENEFITS
- Competitive compensation package.
- This is a unique opportunity to be part of a rapidly growing startup in one of the most exciting engineering fields of our era.
- An inclusive and supportive work culture that fosters learning and growth.
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Salary : $150,000 - $230,000