ABOUT RELIANT

We believe that making the best decisions means looking at all the facts – a near-impossible task in our era of information overload. To fix this, we are building the next generation of machine learning software. Powered by generative AI, our algorithms analyze key information sources and provide comprehensive, factual answers for even your most complex queries.
We believe that the transformative impact of generative AI will be only realized by those willing to take on the world’s biggest information challenges. To make this future come true, we deploy our longstanding expertise in reinforcement learning and natural language processing.
We are scientists. Builders. Entrepreneurs. We spearheaded many of AI’s most impactful applications. We led teams at Google, DeepMind, and EY Parthenon. We now bridge cutting-edge AI research and the biopharma industry.

ABOUT THE ROLE

We are looking for a Machine Learning engineer with a strong track record working on applied ML. Bonus points if you have worked in the life sciences. You’ll play a central role in defining and building our ML platform, enabling cutting-edge AI agents that excel at discovering and organizing knowledge. Your work will help lay the foundation for a new way of working with data.
If you are passionate about applying AI to real-world problems, thrive in a fast-paced environment, and are excited about contributing to the growth of an ambitious startup, we’d love to hear from you.

WHAT WE’D LOVE YOU TO DO (AND LOVE DOING)

Your day to day work will mainly include building text based generative AI applications end-to-end with a strong focus on benchmarking and experimentation with models, prompts and system design. Also there are ample opportunities to dive deeper into topics, such as synthetic data generation, model distillation, training embedding models for retrieval, etc.