What are the responsibilities and job description for the AI / Machine Learning Staff Engineer position at ThoughtSpot?
We, at ThoughtSpot, are looking for a AI Staff Engineer for Spotter team.
What is Spotter?
ThoughtSpot Sage : AI-Powered Analytics with GPT-3
ThoughtSpot Integrates with GPT-3 to Launch Sage, a New AI-powered Search Experience for Analytics
https : / / www.thoughtspot.com / blog / thoughtspot-named-as-a-visionary-in-the-2022-magic-quadrant-for-analytics-and-bi-platforms
ThoughtSpot Product Demo
ThoughtSpot was started with the mission of making the world more fact driven by empowering any business professional to ask ad-hoc questions of their data without any technical skill. This mission has been realized by building foundational systems and expertise in NLP, distributed systems, analytical databases, relevance models, personalization and more recently Generative AI. Users can search existing analytical content, or automatically create new insights, charts, and visualizations based on natural language search.
The Search Engineering team has been at the forefront of this problem over the past decade. This team has created the Data Analytics product most differentiated on AI and Natural Language. Our AI infrastructure includes distributed tries, graphs, indexes, data models, logs, events etc deployed across more than fifty microservices built to scale for billions of data points.
You will be a hands-on technical leader in this team responsible to build, scale and innovate on the Search system and experience to democratize analytics for all business professionals. You will have the opportunity to apply the latest advances in NLP and Generative AI to our next-generation analytics platform, to help millions of business-people make smarter decisions.
Responsibilities
- Applying state-of-the-art models and techniques to problems in Data Analytics with a continuous focus on accuracy and relevance
- Building, training and deploying Machine Learning models in Natural Language problems like Understanding, Processing and Generation, specially foundational Large Language Models.
- Design, develop, test, maintain, monitor and improve distributed systems and infrastructure to enable high velocity iteration.
- Bring technical thought leadership to advance ThoughtSpot’s differentiation and market leadership in the democratizing data analytics for business users
Required skills / qualifications
About ThoughtSpot
With ThoughtSpot’s next-generation Search & AI-driven analytics platform, business people can type a simple Google-like search in natural language to instantly analyze billions of rows of data, and leverage artificial intelligence to get trusted, relevant insights (at the speed of thought!) pushed to them as answers to thousands of questions they might not have thought to ask. ThoughtSpot is simple enough for any business person to use, yet powerful enough to handle even the largest, most complex enterprise data without sacrificing speed, security, or governance.
At ThoughtSpot, we solve some of the hardest, most challenging problems in technology. The kind of problems we solve require diverse perspectives and the team-spirit to see those differences as opportunities rather than roadblocks. It’s why diversity isn’t a box to check; it’s the heart of “Selfless Excellence,” our core value we live every day. To make our dent in the universe, we seek employees with unique identities, backgrounds, and perspectives that want to build an inclusive, respectful company culture, and truly challenge the status quo.
For more information please visit thoughtspot.com.
