Lume is doing for enterprise data what Facebook did for humans - connect them effortlessly. The amount of data within companies is growing exponentially and is increasingly more siloed with the proliferation of vertical specific SAAS applications and unique client formats. Lume solves this problem by leveraging AI to act as a translation layer to enable your data to flow between systems seamlessly. You give us your desired schema, and we do the rest from mapping, classifying, aggregating, and other data transformation tasks to fit your incoming data.

We have developed novel strategies leveraging LLMs that stemmed from our NLP research during our graduate degrees at Stanford University.

We have raised over $4M to date from the top firms in the valley such as Khosla Ventures (OpenAI, Replit) and General Catalyst (Stripe, Airbnb) along with other notable angels.

Today, we’re growing and excited for new teammates to join who are the best at what they do.

Fully automating data transformation and data modeling has been an unsolved problem in technology since the invention of the database; therefore, it is technically challenging. It requires a deep understanding of both scalable data infrastructure and cutting-edge AI models. We are looking for curious, independent thinkers that are willing to join us to tackle these challenges to empower the industry.

In this role, you will:

• Innovate on the cutting-edge of AI by conducting research, applying the latest advancements in the generative AI field, and architecting new approaches.
• Build and maintain, durable, scalable infrastructure capable of processing Gigabytes/sec particularly related to calls to LLMs and the reliability of the output.
• Design and implement novel techniques, tools, and architectures that improve performance, latency, throughput, and efficiency across a multitude of models (OpenAI, Mistral, Llama, Anthropic, etc).
• Have extreme ownership: work alongside the founders to shape product direction, have direct relationships with customers, and help build out our team.

In this role, you will thrive if you:

• Have experience building and deploying LLMs into a production environment and are familiar with the advantages of the technology and its limitations. You also have experience in prompt engineering and stay informed about the latest advancements in LLMs.
• Can identify the most important problems, intuit whether off-the-shelf or in-house solutions are needed, learn the knowledge gaps you are missing for the problem, and stay scrappy to execute the task until it is solved without explicit direction.
• Feel comfortable sharing feedback early and often, as well as receive feedback.
• Have at least 3 years of professional ML or Data Infrastructure experience.

Location

We are located in Manhattan, NY, working in person 5 days a week from our beautiful downtown office.