Senior Product Engineer – Training Platform

Job not on LinkedIn

Likely ghost job

🕒 January 23

🏢🏡 San Francisco – Hybrid

💵 $200k - $275k / year

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

🦅 H1B Visa Sponsor

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👻 Ghost score 65%

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Logo of Baseten

Baseten

WebsiteLinkedIn

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

• Iterate like crazy • Design ergonomic APIs and abstractions to model complex resources and lifecycles • Work throughout the stack (API layer, backend and database implementation, infra layer; frontend is a plus) to implement features. • Fine-tune and deploy models to develop intuition around training workflows. • Partner closely with model developers and world-class research engineers to understand the requirements and pain points of post-training workflows. • Drive long-term improvements to improve reliability of systems and velocity of development • Fix bugs & resolve customer issues with urgency

🎯 Requirements

• 5+ years experience building software applications • Deep knowledge of the web stack, databases, and distributed systems • Experience developing developer tooling or infrastructure products for external or internal users. • Good taste in product, particularly developer-oriented tools • Interest in ML/AI infrastructure and willingness to learn • Driven by high agency and ownership • Strong communication skills with the ability to bridge technical depth and business needs.

🏖️ 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.

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