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LLM Engineer (Contributor) at Unify | Y Combinator's Work at a Startup

Posted: 21 days ago by chovy

LLM Engineer (Contributor) at Unify (W23)

Route Your Prompt to the Best LLM โœจ

About Unify

Weโ€™re on a mission to unify the fragmented LLM landscape, making it faster, cheaper and simpler for all. Weโ€™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! โœจ

About the role

Skills: Python, Machine Learning

Overview:

We are seeking enthusiastic ML Engineers to join our team. This is a great opportunity for those looking to deepen their expertise in machine learning and contribute to various innovative AI projects ๐Ÿค–

What We Offer:

Mentorship: Gain valuable insights and knowledge from our experienced team. Join weekly meetings with other contributors to discuss ideas and foster a community of learning. Have 1-on-1 meetings with our team for technical guidance and performance reviews ๐Ÿ“ˆ

Certificates: Earn recognition for your contributions and skill development ๐Ÿ†

Bounty Programs: Financial incentives for top performers to encourage outstanding contributions ๐Ÿ’ธ

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 ๐Ÿ”ฅ

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! ๐Ÿง‘โ€๐Ÿ’ป

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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