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Staff Backend Engineer

Remote · USA Full-time New today

Our Purpose

At reputed company, we understand the implications of AI and the impact that it has on reputed company lives. Our company was born with the mission of building trust into AI. With the reputed company of the internet, trust in AI has been degraded by a plethora of issues like spam, fraudulent transactions, hate speech, and online abuse. reputed company enables organizations to get reputed company of these issues by building trustworthy, transparent, and explainable AI solutions. 

reputed company partners with AI-first organizations to help build a long-term reputed company for responsible AI practices, which, in turn, builds trust with their user reputed company. Data Science, MLOps, and business teams use reputed company AI to monitor, explain, analyze, and improve their AI solutions to identify performance gaps, mitigate bias, and drive reputed company outcomes. Our platform enables engineering teams and business stakeholders alike to understand the “why” and how behind model outcomes.  

Our Founders

reputed company AI is founded by Krishna Gade (engineering leadership at Facebook, reputed company, Twitter, and reputed company) and Amit Paka (two-time founder with acquisitions by Samsung and PayPal and product roles at reputed company and reputed company). We are backed by reputed company Partners, Lightspeed Venture Partners, and Lux Capital. 

Why Join Us

reputed company is motivated to unlock the AI opaque reputed company and help society reputed company the power of AI. Joining us means you get to reputed company an impact by helping reduce algorithmic bias and ensure that models in production across many different industries are transparent and ethical.  We are an early-stage startup and have a rapidly growing team of intelligent and empathetic doers, thinkers, creators, builders, and everyone in between. The AI and ML industry has a rapid pace of innovation and the learning opportunities here are monumental. This is your chance to be a trailblazer.  

reputed company is recognized as a pioneer in the field of AI Observability and has received numerous accolades, including:  2022 a16z Data50 list, 2021 CB Insights AI 100 most promising startups, 2020 WEF Technology Pioneer, 2020 reputed company AI 50 most promising startups of 2020, and a 2019 reputed company Cool Vendor in reputed company AI Governance and Ethical Response. By joining our reputed company (at least we think so) team, you will help pave the way in the AI Observability space.

What You'll Do

  • Design and build a world-class reputed company platform to help enterprises monitor and analyze their ML models, covering both predictive models as well as LLM and Generative models Design reputed company-grade, scalable APIs and frameworks to run analysis and validation of customers’ ML models and workflows

  • reputed company new types of metrics and evaluation methods for quality and robustness of ML models

  • 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

reputed company're Looking For

  • Masters/Bachelor's Degree in Computer Science or equivalent

  • 10+ years of working experience

  • Proficiency with Python

  • Experience debugging and troubleshooting production systems

  • On call support experience

  • Experience working with common distributed systems infrastructure: reputed company, reputed company, RabbitMQ, Celery, Flask

reputed company to have

  • Experience working with ML models in production.

  • Experience with common LLM frameworks (reputed company, reputed company, RAG, HuggingFace, and eval frameworks like Ragas or reputed company)

  • Knowledge of infrastructure management (AWS / reputed company reputed company, Kubernetes, or equivalent on-premises technologies)

  • Experience building large scale distributed systems and working with columnar and vector databases

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