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Baseten
Actively Hiring
The ML application builder for data scientists11-50 Employees
  • B2B
  • Growth Stage
    Expanding market presence
  • Top Investors
    This company has received a significant amount of investment from top investors
Website
Locations
Company size
11-50 people
Total raised
$20M
Company type
Software Development
Markets
Machine LearningArtificial IntelligenceDeveloper Tools

Jobs at Baseten

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Engineering

Forward Deployed Engineering Intern

NewPosted 2 days ago

Forward Deployed Engineering Intern

  • Use Baseten’s open-source Truss framework to build and test the latest ML models.
  • Research generative AI models and techniques and add them to our public model library for users to deploy.
Engineering

Software Engineer - Infrastruture

NewPosted 2 weeks ago

Software Engineer - Infrastruture

  • Develop and maintain software systems using one or more general-purpose programming languages, such as Python, Ruby, or Go.
  • Manage Kubernetes clusters in production settings, ensuring stability and scalability.
Engineering

Forward Deployed ML Engineer

NewPosted 2 weeks ago

Forward Deployed ML Engineer

  • Develop and maintain software systems using one or more general-purpose programming languages in a production-level environment, with a preference for Python due to its relevance in ML projects.
  • Collaborate with cross-functional teams to understand and implement AI/ML pipelines, including the lifecycle of ML model development and deployment.
Sales

Account Executive

NewPosted 1 month ago

Account Executive

  • Competitive compensation package (Unlimited PTO, 401k, covered healthcare premiums).
  • A unique opportunity to be part of a rapidly growing startup in one of the most exciting engineering fields of our era.
Engineering

Tech Lead Manager - Infrastructure Engineering

NewPosted 2 months ago

Tech Lead Manager - Infrastructure Engineering

  • Lead, manage, and mentor the infrastructure engineering team responsible for building the backbone of Baseten’s ML platform.
  • Define and drive the technical strategy for infrastructure, ensuring performance, security, and scalability of core systems.
Engineering

Tech Lead Manager - Model Performance and Inference

NewPosted 2 months ago

Tech Lead Manager - Model Performance and Inference

  • Lead, mentor, and manage a team of engineers focused on developing and optimizing ML model inference and performance.
  • Oversee technical strategy and architecture decisions, driving improvements across our engineering organization.
Marketing

Digital and Growth Lead

NewPosted 3 months ago

Digital and Growth Lead

  • Integrated Campaign Development:
  • Audience Segmentation:
Engineering

Software Engineer - Fullstack (Core Product)

NewPosted 4 months ago

Software Engineer - Fullstack (Core Product)

  • Develop and maintain rich, interactive frontends with a focus on data-intensive interfaces, using frameworks like React and TypeScript.
  • Build and optimize backend systems using Python and Django, ensuring seamless integration with frontend components.
Engineering

Site Reliability Engineer

NewPosted 4 months ago

Site Reliability Engineer

  • 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.
Other

Open Application

NewPosted 5 months ago

Open Application

  • Competitive compensation package (Unlimited PTO, 401k, covered healthcare premiums)
  • A unique opportunity to be part of a rapidly growing startup in one of the most exciting engineering fields of our era
Engineering

Forward Deployed ML Engineer

NewPosted 5 months ago

Forward Deployed ML Engineer

  • Develop and maintain software systems using one or more general-purpose programming languages in a production-level environment, with a preference for Python due to its relevance in ML projects.
  • Collaborate with cross-functional teams to understand and implement AI/ML pipelines, including the lifecycle of ML model development and deployment.
Engineering

Software Engineer - ML Inference and Performance

NewPosted 5 months ago

Software Engineer - ML Inference and Performance

  • Implement, refine, and productionize cutting-edge techniques for ML model inference and infrastructure.
  • Deep dive into underlying codebases of TensorRT, PyTorch, Transformers, CUDA, and other libraries to debug ML performance issues.