Software Engineer – Infrastructure

🕒 March 27

🏢🏡 San Francisco – Hybrid

💵 $165k - $330k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧑‍💻 Full-stack Engineer

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Baseten

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2020

🤖 Artificial Intelligence

☁️ SaaS

🏢 Enterprise

💰 $8M Seed Round on 2022-04

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.

📋 Description

• Develop infrastructure components for our ML inference platform using Python and Go • Implement and maintain Kubernetes deployments for model serving • Contribute to our inference orchestration layer for model deployments • Build and enhance monitoring systems for model performance metrics • Implement efficient resource management solutions for ML workloads • Support infrastructure automation to improve ML deployment workflows • Work closely with team members to implement technical solutions • Help balance performance optimization with system reliability • Participate in technical discussions around infrastructure improvements • Learn and apply infrastructure best practices

🎯 Requirements

• Bachelor's degree or higher in Computer Science or related field • Proficient coding abilities in one or more popular programming or scripting languages; Go proficiency is a plus • Working knowledge of Kubernetes and containerization • Basic understanding of machine learning concepts and model serving • Familiarity with distributed systems concepts • Experience with basic monitoring and logging tools • Interest in ML/AI infrastructure and willingness to learn • Strong collaboration and communication skills

🏖️ Benefits

• Competitive compensation, including meaningful equity. • 100% coverage of medical, dental, and vision insurance for employee and dependents • Generous PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) • Paid parental leave • Company-facilitated 401(k) • Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.