Software Engineer - Dedicated Inference
At a glance
Mid-level Software Engineering role at Baseten. San Francisco · full-time · $165,000–$330,000 base.
techroles summary, based on the employer's posting.
What you'll do
- Build features and products for inference deployments, including tools used to deploy and run AI workloads in production
- Shape customer-facing APIs and software abstractions to address problems with managing inference
- Investigate software defects and handle customer-reported issues quickly
- Work across React interfaces and Kubernetes-based systems, and develop product ideas with product and forward-deployed engineering teams
What you bring
- A bachelor's degree or higher in computer science or a related discipline
- Strong coding skills in at least one widely used programming or scripting language
- Familiarity with web applications and databases, plus interest in learning about ML/AI infrastructure
Who this fits
This mid-level role suits an engineer interested in developer tools and production AI systems, with work spanning both frontend components and Kubernetes. It is a hybrid position based in San Francisco.
From the employer
ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. 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. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
THE ROLE
As an Engineer on the Dedicated Inference team, you'll shape the state-of-the-art developer experience for deploying and operating AI workloads in production. From the CLI and SDKs to APIs, observability, and debugging workflows, you'll build the tools customers rely on every day to manage mission-critical inference deployments.
Few teams at Baseten have as much breadth and visibility as Dedicated Inference. The team is often at the forefront of new product development, giving engineers the opportunity to shape the experience of some of our most important customers.
EXAMPLE INITIATIVES
You'll get to work on these types of projects as part of our Dedicated Inference team:
RESPONSIBILITIES
Implement new features and products for the team
Design ergonomic APIs and abstractions to solve customer problems
Fix bugs and 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 and forward deployed engineering teams to develop and drive new product ideas
REQUIREMENTS
Bachelor's degree or higher in Computer Science or related field
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, including meaningful equity
(U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
Paid parental leave
Fertility and family-building stipend through Carrot
(U.S. only) Company-facilitated 401(k)
Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).