LLM Platform Engineer

November 20

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Logo of Whatnot

Whatnot

Marketplace • eCommerce

Whatnot is a dynamic online marketplace platform that facilitates live shopping experiences. Users can buy, sell, and discover products they love, engaging in a community-driven environment through live shows. Whatnot ensures a secure shopping experience by vetting sellers and offering protection for unsatisfactory purchases. The company values privacy, providing consent management tools for their users to control cookie usage and personal data processing.

201 - 500 employees

Founded 2021

🏪 Marketplace

🛍️ eCommerce

💰 $260M Series D on 2022-07

📋 Description

• Own the infrastructure powering LLMs across critical business surfaces– supporting growth, recommendations, trust and safety, fraud, seller tooling, and more. • Create robust and scalable LLM evaluation frameworks to measure model performance, guide iteration, and prevent regression via CI/CD. • Deploy RAG systems and MCP servers to more effectively ground LLM responses in Whatnot’s business context while enforcing rigorous PII controls. • Design efficient human-in-the-loop feedback pipelines that can be used to inform scalable LLM evaluation • Bridge the gap between research and production, helping to transform experimental ideas into scalable solutions • Stretch beyond your comfort zone to take on new technical challenges as we scale AI across Whatnot’s ecosystem.

🎯 Requirements

• 4+ years of professional experience developing machine learning systems and algorithms • Bachelor’s degree in Computer Science, Statistics, Applied Mathematics or a related technical field, or equivalent work experience. • 3+ years of software engineering experience building and maintaining production systems for consumer-scale loads. • 1+ years of professional experience developing software in Python • Ability to work autonomously and drive initiatives across multiple product areas and communicate findings with leadership and product teams. • Experience with operational, search, and key-value databases such as PostgreSQL, DynamoDB, Elasticsearch, Redis. • Firm grasp of visualization tools for monitoring and logging e.g. DataDog, Grafana. • Familiarity with cloud computing platforms and managed services such as AWS Sagemaker, Lambda, Kinesis, S3, EC2, EKS/ECS, Apache Kafka, Flink. • Professionalism around collaborating in a remote working environment and well tested, reproducible work. • Exceptional documentation and communication skills.

🏖️ Benefits

• Flexible Time off Policy and Company-wide Holidays (including a spring and winter break) • Health Insurance options including Medical, Dental, Vision • Work From Home Support • Home office setup allowance • Monthly allowance for cell phone and internet • Care benefits • Monthly allowance for wellness • Annual allowance towards Childcare • Lifetime benefit for family planning, such as adoption or fertility expenses • Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally • Monthly allowance to dogfood the app • Parental Leave • 16 weeks of paid parental leave + one month gradual return to work *company leave allowances run concurrently with country leave requirements which take precedence.

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