Baseten
About Baseten
Baseten powers inference for the world's most dynamic AI companies, such as OpenEvidence, Clay, Mirage, Gamma, Sourcegraph, Writer, Abridge, Bland, and Zed. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies 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 Site Reliability Engineer, you’ll envision and build robust systems and processes that ensure our infrastructure is scalable, reliable, and efficient. This ranges from automating deployments and monitoring systems to optimizing performance and managing incidents. We work closely with users to learn from their past struggles in operationalizing ML, onboard them onto our platform, and turn those learnings into ideas for improving Baseten.
Example Initiatives
Multi‑cloud capacity management
Inference on B200 GPUs
Multi‑node inference
Fractional H100 GPUs for efficient model serving
Responsibilities
Build and maintain scalable infrastructure to support the deployment and operation of machine‑learning models.
Establish standards and best practices for reliability and performance across the infrastructure.
Automate processes when relevant, particularly for managing CI/CD pipelines.
Own products and projects end‑to‑end, functioning as both an engineer and a project manager, with a focus on user empathy, project specification, and end‑to‑end execution.
Collaborate with cross‑functional teams to understand project requirements and translate them into technical solutions.
Mentor junior team members and contribute to knowledge sharing within the organization.
Navigate ambiguity and exercise good judgment on trade‑offs and tools needed to solve problems, avoiding unnecessary complexity.
Demonstrate pride, ownership, and accountability for your work, expecting the same from teammates.
Requirements
Bachelor's, Master's, or Ph.D. degree in Computer Science, Engineering, Mathematics, or a related field.
5+ years of professional work experience in a fast‑paced, high‑growth environment.
Extensive experience with Kubernetes.
Experience in building and maintaining scalable infrastructure.
Experience with infrastructure‑as‑code tools (e.g., Terraform, CloudFormation, Pulumi) and CI/CD tooling (e.g., GitHub Actions, GitLab CI, CircleCI, Jenkins).
Relevant OSS observability experience (Prometheus, ELK stack, Grafana stack, OpenTelemetry) is a plus.
Ability to own projects end‑to‑end, from project specification to execution.
No prior machine‑learning experience required, but openness to learning about it is expected.
Benefits
Competitive compensation, including meaningful equity.
100% coverage of medical, dental, and vision insurance for employee and dependents.
Generous PTO policy including company‑wide Winter Break (our offices are closed from Christmas Eve to New Year’s Day!).
Paid parental leave.
Company‑facilitated 401(k).
Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now 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.
Seniority level: Mid‑Senior level
Employment type: Full‑time
Job function: Engineering and Information Technology
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The Role As a Site Reliability Engineer, you’ll envision and build robust systems and processes that ensure our infrastructure is scalable, reliable, and efficient. This ranges from automating deployments and monitoring systems to optimizing performance and managing incidents. We work closely with users to learn from their past struggles in operationalizing ML, onboard them onto our platform, and turn those learnings into ideas for improving Baseten.
Example Initiatives
Multi‑cloud capacity management
Inference on B200 GPUs
Multi‑node inference
Fractional H100 GPUs for efficient model serving
Responsibilities
Build and maintain scalable infrastructure to support the deployment and operation of machine‑learning models.
Establish standards and best practices for reliability and performance across the infrastructure.
Automate processes when relevant, particularly for managing CI/CD pipelines.
Own products and projects end‑to‑end, functioning as both an engineer and a project manager, with a focus on user empathy, project specification, and end‑to‑end execution.
Collaborate with cross‑functional teams to understand project requirements and translate them into technical solutions.
Mentor junior team members and contribute to knowledge sharing within the organization.
Navigate ambiguity and exercise good judgment on trade‑offs and tools needed to solve problems, avoiding unnecessary complexity.
Demonstrate pride, ownership, and accountability for your work, expecting the same from teammates.
Requirements
Bachelor's, Master's, or Ph.D. degree in Computer Science, Engineering, Mathematics, or a related field.
5+ years of professional work experience in a fast‑paced, high‑growth environment.
Extensive experience with Kubernetes.
Experience in building and maintaining scalable infrastructure.
Experience with infrastructure‑as‑code tools (e.g., Terraform, CloudFormation, Pulumi) and CI/CD tooling (e.g., GitHub Actions, GitLab CI, CircleCI, Jenkins).
Relevant OSS observability experience (Prometheus, ELK stack, Grafana stack, OpenTelemetry) is a plus.
Ability to own projects end‑to‑end, from project specification to execution.
No prior machine‑learning experience required, but openness to learning about it is expected.
Benefits
Competitive compensation, including meaningful equity.
100% coverage of medical, dental, and vision insurance for employee and dependents.
Generous PTO policy including company‑wide Winter Break (our offices are closed from Christmas Eve to New Year’s Day!).
Paid parental leave.
Company‑facilitated 401(k).
Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now 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.
Seniority level: Mid‑Senior level
Employment type: Full‑time
Job function: Engineering and Information Technology
#J-18808-Ljbffr