About the job

Adamas Knight is recruiting for an exceptional founding team focused on developingSOTA AIwith the potential to transform lives. The founder, who previously built atech unicornin under six years, is now embarking on a new mission to create anAI-driven software development company, backed by some of the most influential names in the industry.

The Role

As aMachine Learning Research Engineer, you'll be at the forefront of pushing the boundaries of what’s possible with generative AI. Your mission is to design, conceptualize, and develop deep learning products, including proprietary language and/or vision models, with the ultimate goal of advancing toward AGI.

We are seeking talented research engineers with experience working on large-scale language or multimodal models, who are eager to build innovative solutions from the ground up. You'll have a significant influence on the technical direction of the project, so if you're passionate about disrupting the AI-driven software development industry, this is the role for you!

You will need:

• Experience in building and shipping AI and ML products, including deep experience with unstructured data, and LLMs, or vision models, and/or LMMs
• Background in Computer Science, Machine Learning, AI or related quantitative field
• Experience in wrangling LLMs, fine tuning models, build RAG systems.

Benefits/Perks:

• Attractive Compensation: Enjoy a competitive salary and the opportunity to invest in your future with equity in the company
• Join a High-Growth Team: Be part of an eight-figure funded founding team that’s shaping the future
• Comprehensive Benefits: Access private healthcare, a gym allowance, and catered lunches to support your well-being
• Work-Life Balance: Benefit from flexible working hours that fit your lifestyle

At Adamas Knight, we are committed to creating an inclusive culture. We do not discriminate based on race, religion, gender, national origin, sexual orientation, age, veteran status, disability, or any other legally protected status. Diversity is highly valued, and we encourage applicants from all backgrounds to apply.