Baseten

Site Reliability Engineer

Remote

Auto‑apply with AI Apply

$150,000 – $250,000Compensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

AI & Machine Learning, Enterprise SoftwareIndustries

Requirements

Candidates should possess a Bachelor's, Master's, or Ph.D. degree in Computer Science, Engineering, Mathematics, or a related field. A minimum of 3 years of professional work experience in a fast-paced, high-growth environment is required. Extensive experience with Kubernetes and infrastructure-as-code tools such as Terraform, CloudFormation, or Pulumi is necessary, along with familiarity with CI/CD tooling like GitHub Actions or Jenkins. Relevant OSS observability experience with tools like Prometheus or Grafana is a plus, and candidates should demonstrate the ability to own projects end-to-end while being open to learning about machine learning.

Responsibilities

As a Site Reliability Engineer, you will build and maintain scalable infrastructure to support the deployment and operation of machine learning models. You will establish standards and best practices for reliability and performance across the infrastructure and automate processes, particularly for managing CI/CD pipelines. The role involves owning products and projects end-to-end, collaborating with cross-functional teams to translate project requirements into technical solutions, mentoring junior team members, and navigating ambiguity while exercising good judgment on tradeoffs and tools needed to solve problems.

Skills

Kubernetes

Terraform

CloudFormation

Pulumi

GitHub Actions

GitLab CI

Circle CI

Jenkins

Prometheus

ELK stack

Grafana stack

Opentelemetry

CI/CD

Infrastructure-as-code

Baseten

Platform for deploying and managing ML models

About Baseten

Baseten provides a platform for deploying and managing machine learning (ML) models, aimed at simplifying the process for businesses. Users can select from a library of open-source foundation models and deploy them with just two clicks, making it easier to implement ML solutions. The platform features autoscaling, which adjusts resources based on demand, and comprehensive monitoring tools for tracking performance and troubleshooting. A key differentiator is Baseten's open-source model packaging framework, Truss, which allows users to package and deploy custom models easily. The company operates on a usage-based pricing model, where clients pay only for the time their models are actively deployed, helping them manage costs effectively.

Key Metrics

San Francisco, CaliforniaHeadquarters

2019Year Founded

$58.4MTotal Funding

SERIES_BCompany Stage

AI & Machine LearningIndustries

51-200Employees

Benefits

💰 Competitive compensation: We aim to provide 90th percentile (or better) salaries and equity grants for every team member commensurate with their experience.

🌎 Remote-first work environment: The Baseten team is welcome to work from wherever they want; fully remote, in our San Francisco office, or a mix of both. We provide a $1,000 stipend for you to make your home office comfortable and productive.

🏓 Regular in-person team summits: We get together as a team three times a year to plan, workshop, and most importantly, get to know each other better.

🌴 Unlimited PTO: We ask that everyone take at least 4 weeks of vacation. And we have a company-wide break between Christmas and New Year's Day.

🏥 Full healthcare coverage: Medical, dental and vision insurance for you and your family.

🍼 Paid parental leave: 16-weeks fully paid parental leave (adoptive and non-birth parents included) and flexibility with schedules while returning to work.

📈 401(k): Company-sponsored 401(k) for you to contribute to.

🧠: Learning and development budget: We encourage you to take classes, attend conferences, and invest in your craft and we’ll cover expenses to make it happen.

Risks

Increased competition from specialized AI models tailored for specific industries.

Potential over-reliance on Google Cloud Marketplace may limit flexibility and control.

Rapid AI model development could render Baseten's offerings obsolete without continuous innovation.

Differentiation

Baseten offers a serverless backend for machine-learning applications with auto-scaling.

Truss, an open-source model packaging framework, allows seamless deployment of custom models.

Baseten's platform provides comprehensive monitoring tools for efficient model performance tracking.

Upsides

Integration with Google Cloud Marketplace boosts visibility and customer acquisition potential.

$40M Series B funding enhances Baseten's platform capabilities and market reach.

Chains framework positions Baseten for complex AI workflows, attracting sophisticated projects.

Land your dream remote job 3x faster with AI

Try Jobo Free