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IV.AIIV

Staff Software Engineer - Data Platforms

IV.AI is an AI platform that helps enterprises make smarter decisions by transforming chaotic data into actionable insights using no-code tools and sophisticated models. They focus on human-centered AI solutions for business innovation and social good.

IV.AI

Employee count: 11-50

United States only

IV.AI, a US company headquartered in Los Angeles, is looking for a Lead Engineer to lead engineering on one of its data platforms. The role will be reporting directly to the CTO and will collaborate closely with product, engineering, data science, marketing, design and customer service team members to work on our data platform. The role isn't a machine learning role but the ideal candidate should be interested in the NLP/machine learning space.

Time Zone: PST

Responsibilities:

  • Lead technical direction of the data platform
  • Advocate for and implement best practices in modeling, API, and interface design
  • Mentor and support engineering team members, fostering a culture of technical excellence, collaboration, and continuous learning
  • Partner closely with product and data science teams to align platform capabilities with business and technical needs
  • Actively participate in technical discussions, requirements gathering, and strategic planning
  • Design and maintain core platform services that power business-critical systems
  • Lead architectural discussions to support platform scalability, performance, and reliability
  • Collaborate with other Engineering and Data Science leads throughout the business
  • Write clean and concise code that can easily be collaborated on by other team members

Requirements

Required Experience

  • 3+ years of experience in software engineering, with demonstrated experience in full stack development (with experience in TypeScript or Python)
  • 1+ years of direct management experience

Preferred Experience

  • Strong communication skills, with the ability to translate complex technical concepts for diverse audiences
  • Proven ability to balance technical trade-offs and make pragmatic decisions that consider both immediate needs and future scalability
  • Proven ability to mentor and lead technical projects in cross-functional environments
  • A passion for building robust systems that enable data-driven decision-making
  • Experience with managing complex data driven production apps in cloud environments

About the job

Apply before

Posted on

Job type

Full Time

Experience level

Senior

Location requirements

Hiring timezones

United States +/- 0 hours

About IV.AI

Learn more about IV.AI and their company culture.

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We are IV.AI, and we're dedicated to making humans smarter through our sophisticated no-code AI tools and highly accurate models. Our founding team brings experience from tech giants like Google, Amazon, Oracle, and Microsoft, and we share a common passion for leveraging artificial intelligence to solve complex business problems. We believe in transforming chaotic information into structured, actionable insights, essentially teaching people to navigate and resolve tricky challenges. Our mission is to bridge the gap between AI outputs and human decision-making, flipping AI to make it more human-centric so that individuals and organizations can trust AI models to inform their choices. We're obsessed with sharing our hard-earned AI knowledge to help people make better decisions while carefully managing crucial aspects like accuracy, bias, explainability, and data ethics. It's all about asking the right questions, employing the right algorithms based on the data, and utilizing a hybrid approach to machine learning that uncovers new and valuable perspectives.

Our journey began with the vision of using AI not only for business innovation but also as a force for social good. This commitment has led us to allocate a portion of our research and development efforts towards addressing pressing global issues, forging partnerships with organizations like the United Nations' SustainChain and the World Ethical Data Foundation. We've grown rapidly, establishing a global platform with offices across continents, all while striving to maintain the agile and determined nature that allowed us to build powerful machine learning models that often outperform industry standards. While many companies discuss the potential of AI, we're focused on demonstrating its tangible benefits, as evidenced by our work with leading enterprises and the insights shared through our case studies and press features. We empower organizations to optimize their time and find answers to previously unanswerable questions by analyzing diverse datasets, both structured and unstructured. We don't promise an omniscient AI; instead, we provide the tools and expertise to enhance knowledge, complement workflows, and optimize communications, helping everyone move faster and make more informed decisions in an increasingly complex world.

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IV.AI

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