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Surge AI (https://surgehq.ai) | Software Engineers (full-stack or applied ML) | Full-time | SF or Remote

Our mission at Surge is to build the human infrastructure powering the next wave of AI and LLMs. We’re building a data platform that powers AI teams at OpenAI, Anthropic, Meta, Google and more. Reinforcement Learning with Human Feedback is the critical technique behind the new generation of AI assistants, and that human feedback comes from us. Our product has been a game-changer for the top AI teams in the world. Here are some example of our past work:

Creating the GSM8K dataset: https://www.surgehq.ai/blog/how-we-built-it-openais-gsm8k-da... Collecting data for Anthropic's Claude: https://www.surgehq.ai/case-studies/anthropic-claude-surgeai...

You’d be joining a small, rapidly growing team of former engineering and ML leaders from Google, Meta, Twitter and Airbnb. We ship quickly, deeply care about the problems we are trying to solve, and value autonomy and ownership. No previous AI experience is required, if you have the engineering skills you can learn what you need on the job.

We're looking for engineers with a few years of experience and you can work out of our office in SF our remotely. Please reach out to us at [email protected] with a resume and 2-3 sentences describing your interest. Excited to hear from you!




Seems like an awesome company. I understand you're the Engineering Lead but I just applied to the Product Operations role!

I was in a lead position in data quality and data labeling at my previous company (in finance) where I was responsible for creating training datasets (snowflake), running inference operations (github actions) and reporting on model performance (looker/hex). I could bring a lot of value and experience, especially to the Financial Categorization use case at Surge.

LMK if it's okay to DM you my personal info to pass along.


Hey! Just in case you are looking for a immediate joine for any data engineering, please take a look at : https://www.linkedin.com/in/dmistri/




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