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Baseten

Runs AI models for production software

Forward Deployed Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeHybrid

About the Job

Requirements

  • A Bachelor's, Master's, or Ph.D. degree in Computer Science, Engineering, Mathematics, or a related field is required.
  • At least 2 years of professional work experience in a fast-paced, high-growth environment is required.
  • Demonstrated experience with one or more general-purpose programming languages in a production-level environment is required; Python is strongly preferred.
  • Familiarity with artificial intelligence and machine learning pipelines and the lifecycle of machine learning model development and deployment is required.
  • Strong communication skills, particularly on complex technical topics, are required.

Responsibilities

  • Develop and maintain software systems and product features using one or more general-purpose programming languages in a production-level environment, with a preference for Python due to its relevance in machine learning projects.
  • Drive customer impact by designing, implementing, and deploying Baseten solutions end-to-end, from problem framing and evaluation through production deployment and monitoring; work with customers' engineering teams throughout sales, implementation, and expansion.
  • Turn vague objectives into clear specifications and well-defined proofs of concept to rapidly ship well-tested services and outcomes for customers.
  • Optimize and enhance artificial intelligence and machine learning projects, contributing to continuous improvement of the technical stack and developing features and product requirement documents with engineering and product organizations.
  • Own products and customer projects end-to-end, functioning as an engineer, project manager, and product manager, with a focus on user empathy, project specification, and end-to-end execution.
  • Navigate ambiguity and exercise good judgment about tradeoffs and tools needed to solve problems while avoiding unnecessary complexity.
  • Demonstrate pride, ownership, and accountability for one's work and expect the same from teammates.

Desired Qualifications

  • Experience building or optimizing artificial intelligence and machine learning projects is highly valued.

About the Company

Baseten

Runs AI models for production software

Baseten runs AI models for software companies that need fast, reliable responses inside their products, from text generation to speech and image processing. Its Inference Stack combines optimized model runtimes with infrastructure that deploys, serves, and monitors custom or open models in production. Teams package models with its open source Truss tool, while Model APIs let developers test ready-to-use models and Training runs jobs that adapt models to their own data. Customers pay for computing time or tokens processed, with negotiated plans for larger deployments and support needs. Baseten was founded in 2019 and is headquartered in San Francisco.

Company size
201-500
Company stage
Series F
Total funding
$2.1B
Headquarters
San Francisco, CA
Founded
2019

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