AI Support Engineer

January 19

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

💵 $110k - $150k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📞 Support Engineer

🦅 H1B Visa Sponsor

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Baseten

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Artificial Intelligence • SaaS • Enterprise

Baseten is a company that provides fast, scalable model inference services, designed for performance, security, and a delightful developer experience. They offer tools to streamline the entire development process, enabling high-throughput inference and fast deployment times. Baseten caters to enterprise companies by delivering robust, secure, and scalable model serving solutions, particularly useful for machine learning and AI model deployment. Their solutions allow organizations to efficiently manage model infrastructure while focusing on creating domain-specific models. Baseten supports open-source model packaging and offers autoscaling features to handle varying demand efficiently.

11 - 50 employees

Founded 2020

🤖 Artificial Intelligence

☁️ SaaS

🏢 Enterprise

💰 $8M Seed Round on 2022-04

📋 Description

• ABOUT BASETEN • We’re a growing team of builders backed by top-tier investors. • ML teams at enterprises and AI-native companies use Baseten to power core production workloads. • As an AI Support Engineer, you’ll manage and resolve support requests, maintain our knowledge base, and use various tools to troubleshoot issues. • We all work closely with our users, learning from their experiences and turning our learnings into ideas for improving Baseten’s support processes and user experience.

🎯 Requirements

• Bachelor's, Master's, or Ph.D. degree in Computer Science, Engineering, Mathematics, or related field. • 3+ years of work professional work experience in a fast-paced, high-growth environment. • Experience in resolving critical user issues and building tools for smooth ML model deployment. • Familiarity with troubleshooting complex ML pipelines, including data preprocessing and model serving. • Knowledge of ML model optimization, including technologies like TensorRT for GPU acceleration. • Expertise in using and contributing to open-source libraries, particularly for packaging ML models. • Ability to identify and analyze user feedback to influence product development. • Ability to own projects end-to-end, from project specification to execution.

🏖️ Benefits

• 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. • An inclusive and supportive work culture that fosters learning and growth. • Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.