Trust is a fundamental part of humanity, but with the rise of the internet over the last couple of decades, we’ve seen a plethora of trust issues emerge like spam, fraudulent transactions, hate speech, and online abuse. Today, with AI, computers take on more tasks usually done by humans, with an increase in efficiency and productivity. However, We understand the implications of AI and the potential danger of not having visibility into how it affects the real world. There is a lack of trust in AI outcomes because often AI models can be opaque. We started Fiddler because we believe there is a need for a new kind of Explainable AI Platform. One that enables organizations to get ahead of these issues by building trustworthy, transparent, and understandable AI solutions.
Our team is motivated by helping the world to unlock the AI black box. We help humans harness AI to create more understanding around results, create actionable insights, eliminate biases, and identify performance gaps. We know that AI is the future and believe that learning the “why” behind the results is crucial to any business or platform.
We are still an early-stage startup, and are rapidly growing our team! This is an exciting time to join an XAI startup that is quickly becoming a leader in the space.
Fiddler Labs is recognized as a pioneer in the field of Explainable AI and has received numerous accolades, including 100 most promising Technology Pioneers of 2020 by the World Economic Forum, Forbes 50 most promising AI startups, and a Cool Vendor in Gartner’s 2019 Cool Vendors in Enterprise AI Governance and Ethical Response report.
We are looking for an innovative, collaborative, excitable Senior Backend Engineer to help us continue to build and scale our model monitoring solutions.
What Are We Looking For:
Deep Knowledge of infrastructure management (AWS / Google Cloud, Kubernetes, or equivalent on-premises technologies)
BS/MS/PhD in Computer Science or equivalent
3-5 years of experience
Proficiency with Python and its frameworks
Experience debugging and troubleshooting production systems, on-call support experience
Experience working with ML models in production
Experience building large scale distributed systems
What You'll Do:
Design and build a world-class cloud platform to help enterprises monitor and analyze their ML models
Build analytics systems that can ingest and analyze petabytes of data
Build cutting edge ML algorithms for monitoring, explainability and bias detection in ML systems
Design enterprise-grade, scalable APIs to plug into customers’ ML workflows
Work with product and customer-facing teams to enhance and expand our product
Recommend and implement engineering best practices, improve the functionality of existing software, and ensure that the design, application, and maintenance of software meets quality standards
Fiddler Labs is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.