Sr. ML Engineer at Stealth AI Startup

at  a portfolio company of the AI2 Incubator

ABOUT THE ROLE:

We are seeking an innovative and driven Data Engineer to join our ambitious AI startup at a pivotal pre-seed stage. As one of the first key hires, you will play an integral role in shaping the technological vision and direction of our company. This is a unique opportunity to be at the forefront of AI innovation, where your contributions will directly impact our growth, culture, and success.
We are building enterprise software that processes and augments our customers’ proprietary know-how. Safety, trade secrets, and operational efficiencies are all impacted by the outcome of the systems you’ll build. This pressure and accountability excite you and bring the best out of you. Commercial applicability and solving concrete business problems for our customers with the right AI-powered solutions are the core of the gig.
There is a lot of ambiguity and unknowns ahead. As part of this collaboration, the expectation is that you will play an integral role in derisking the operation and help deliver the right solutions to the most concrete problems our customers are wrestling with. If this call for adventure piques your interest, if you have an appetite to test every hypothesis within the context of commercial validation, and if you want to contribute to the current and the next industrial revolution directly—let’s talk.

RESPONSIBILITIES:

• Collaborate closely with the CTO and the founding team to define the company’s technological vision and strategy.
• Impact early-stage technical decisions that will shape the platform & its infrastructure.
• Stay abreast of advancements in AI, machine learning, and hardware technologies, steering the company towards strategic technological advantages.
• Guide our web application’s development to be scalable, secure, and user-focused
• Work with the latest technologies to design, code, debug, and deploy LLM applications.
• Lead the development of a comprehensive data ecosystem that facilitates seamless data collection, storage, processing, and analysis, enabling a unified, data-driven approach.