Senior AI Engineer
FoodsmartSalary not specified
- Full Time
- Senior (5 to 8 years)
$110,000 – $150,000Compensation
Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Enterprise SoftwareIndustries
Requirements
Candidates must have a Bachelor's, Master's, or Ph.D. degree in Computer Science, Engineering, Mathematics, or a related field. They should possess over 3 years of professional work experience in a fast-paced, high-growth environment. Experience in resolving critical user issues and building tools for smooth ML model deployment is essential. Familiarity with troubleshooting complex ML pipelines, including data preprocessing and model serving, is required. Knowledge of ML model optimization, including technologies like TensorRT for GPU acceleration, is necessary. Expertise in using and contributing to open-source libraries, particularly for packaging ML models, is also expected. Candidates should be able to identify and analyze user feedback to influence product development.
Responsibilities
The AI Support Engineer will resolve critical user issues and build tools to assist customers in smoothly deploying ML models at scale. They will own and maintain the Product Knowledge Base and collaborate with the Forward Deployed Engineering team to troubleshoot complex ML pipeline issues, from data preprocessing to model serving. The engineer will assist users in optimizing ML models and become an expert in the open-source Truss library, contributing to its development. They will identify patterns in user feedback to shape the product roadmap and own products and projects end-to-end, functioning as both an engineer and project manager. The role requires navigating ambiguity and exercising good judgment on tradeoffs and tools needed to solve problems while demonstrating pride, ownership, and accountability for their work.
Skills
Computer Science
Engineering
Mathematics
TensorRT
GPU acceleration
ML models
ML pipelines
Truss
Data preprocessing
Model serving
Project management
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.
San Francisco, CaliforniaHeadquarters
2019Year Founded
$58.4MTotal Funding
SERIES_BCompany Stage
AI & Machine LearningIndustries
51-200Employees