Baseten

AI Support Engineer

San Francisco, California, United States

$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.

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