LLM Engineer (Contributor) at Unify (W23)
Route Your Prompt to the Best LLM ✨
Remote (US)
Internship
About Unify

We’re on a mission to unify the fragmented LLM landscape, making it faster, cheaper and simpler for all. We’re an ambitious startup with a global team spanning every continent. Our neural router automatically selects the best LLM to use on every prompt, and we need help to showcase what this can unlock! ✨

About the role
Skills: Python, Machine Learning

About Unify:

We’re on a mission to unify the fragmented LLM landscape, making it faster, cheaper and simpler for all. We’re an ambitious startup with a global team spanning every continent. Our neural router automatically selects the best LLM to use on every prompt, and we need help to showcase what this can unlock! ✨

Role Overview:
We are seeking enthusiastic LLM Engineers to join our team. This is a great opportunity for those looking to deepen their expertise in ML and contribute to exciting AI projects πŸ€–

What We Offer:

Mentorship: Gain insights and knowledge from our experienced team. Join weekly meetings and webinars with other contributors to discuss ideas and foster a community of learning. Have meetings with our team for technical guidance and performance reviews πŸ“ˆ

Certificates: Earn recognition for your contributions and skill development πŸ†

Bounty Programs: Financial incentives for top performers to encourage outstanding contributions πŸ’Έ

Commitment:

As a contributor, we encourage you to get work on our various pre-defined applied LLM projects and competitions, either individually or alongside other contributors. At the end of each project, we will add it to our website and amplify your great work on all of our social media platforms πŸ”₯

Join Us:

If you are passionate about the evolving LLM landscape and you are eager to contribute alongside a dedicated and passionate team, then please apply! πŸ§‘β€πŸ’»

Technology

Our platform is a single sign-on collection of third-party LLM endpoints with live benchmarking across several performance metrics, and dynamic model routing to optimize deployment pipelines. There is a lot of frontend and backend development work, using AWS, GCP, Docker, SQL, JavaScript etc. We also have a neural router which is itself an LLM trained on a large amount of data, using GPT4 as an oracle.

Interview Process

Please apply here, more instructions are provided via email.

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internRemote (US)Machine learningAny

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