Distributional
Distributional is focused on providing a modern enterprise platform for AI testing. They address the challenges of traditional software testing with AI systems, which are often unpredictable and unreliable. Their proactive AI testing platform is designed to instill confidence in AI and ML applications throughout their lifecycle. Distributional offers capabilities for data collection, testing, alerting, triaging, and issue resolution, with advanced dashboards for analysis and reporting. It features an intelligence system that automates data augmentation, test selection, and calibration. The platform integrates seamlessly with existing infrastructures and can be deployed within a VPC. Their mission is to solve AI testing challenges at an enterprise scale, inspired by their customers and partners.
Staff AI Research Engineer
March 7
Distributional
Distributional is focused on providing a modern enterprise platform for AI testing. They address the challenges of traditional software testing with AI systems, which are often unpredictable and unreliable. Their proactive AI testing platform is designed to instill confidence in AI and ML applications throughout their lifecycle. Distributional offers capabilities for data collection, testing, alerting, triaging, and issue resolution, with advanced dashboards for analysis and reporting. It features an intelligence system that automates data augmentation, test selection, and calibration. The platform integrates seamlessly with existing infrastructures and can be deployed within a VPC. Their mission is to solve AI testing challenges at an enterprise scale, inspired by their customers and partners.
📋 Description
• Distributional is looking for a research engineer to pursue novel research methodologies around testing of AI-powered systems. • Distributional is building the modern enterprise platform for AI testing to make AI safe, reliable, and secure. • AI is complex, unpredictable and constantly changing. • Better AI testing is required to build confidence in non-deterministic AI-enabled applications, but AI testing is broken today. • We’re building the modern AI testing stack for enterprises to fix this. • We’re a Series A company with deep experience backed by the best investors. • Distributional is powered by computational statistics and machine learning to facilitate in depth and extensible analysis and testing. • Our research engineers collaborate with the Product team to identify valuable opportunities to improve Distributional through these advanced methodologies. • Then Research is off to the races: reviews of scholarly content; quantifying success; experimenting to identify positive outcomes; rigorously arguing amongst the other research engineers; moving the successes into the product roadmap, and eventually into production; working with GTM to develop sales and marketing collateral. • Because of our fast pace and emphasis on research mentality, you will have an opportunity to contribute to fundamental elements of Distributional’s success.
🎯 Requirements
• Applied research experience in Machine Learning, Statistics, Mathematics, Operations Research or related field • 7+ years of experience, including 3+ years of industry experience conducting product-focused research, including expertise in computational experimentation with Python • Ability to rapidly prototype research ideas into code. • Ability to guide your own research projects, organize experimental results concisely, present them for peer review within the company, and rigorously analyze other engineers' experiments. • Communication: Ability to operate independently and as part of a team; able to communicate outwards and upwards to keep yourself unblocked. • Effectiveness: Ability to work as part of a fast paced and fully remote team prioritizing your own time effectively.
🏖️ Benefits
• Comprehensive health coverage (with options including 100% company-paid premiums) • Flexible time off (in addition to two annual company-wide breaks in July and December) • Wellness stipends • Learning & development stipends • Access to 401K
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