About the job
Adamas Knight is recruiting for an impressive founding team that are building SOTA AI, looking to create a new technology that will transform lives. The founder has previously built a tech unicorn in under 6 years and has moved on to his next mission of building an AI for software development company backed by some of the biggest names in industry.
The Role
As a Machine Learning Research Engineer , you will play a pivotal role in what's possible to achieve with generative AI. Your mission? Build, conceptualise, and ship deep learning products, including building proprietary language and/or vision models, with the mission of moving towards AGI.
We are looking for skilled research engineers with experience working on large scale language or multimodal models, that are excited to build from the ground up. You will be influential to the technical direction that is taken so if you are interested in disrupting the AI for software development industry, this role is 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.
