Softwareentwickler Python Remote - San Francisco, CA, United States - Scale AI

Description

Software is eating the world, but AI is eating software. We live in unprecedented times – AI has the potential to exponentially augment human intelligence. Every person will have a personal tutor, coach, assistant, personal shopper, travel guide, and therapist throughout life.

As the world adjusts to this new reality, leading platform companies are scrambling to build LLMs at billion scale, while large enterprises figure out how to add it to their products.

To make them safe, aligned and actually useful, these models need human eval and reinforcement learning through human feedback (RLHF) during pre-training, fine-tuning, and production evaluations.

This is the main innovation that's enabled ChatGPT to get such a large headstart among competition.

At Scale, our Generative AI Data Engine powers the most advanced LLMs and generative models in the world through world-class RLHF, human data generation, model evaluation, safety, and alignment.

The data we are producing is some of the most important work for how humanity will interact with AI.
We're looking for entrepreneurial Senior Software Engineers to join our team.

You'll also get widespread exposure to the forefront of the AI race as Scale sees it in enterprises, startups, governments, and large tech companies.

The ideal person is a natural entrepreneurial engineer who can take an ambiguous scope and lead the execution of outcomes, doing what it takes to hit them incl coding, talking to customers, defining requirements, etc.

Work across backend, frontend, and interacting with LLMs and/or other ML models
Deliver experiments at a high velocity and level of quality to engage our customers
Collaborating with cross-functional teams to define, design, and ship new product features and experiences.
5+ years of full-time engineering experience, post-graduation
~ Proficiencies in one or more of Python, Node, React, and MongoDB
~ Solid background in algorithms, data structures, and object-oriented programming.
~ Strong knowledge of software engineering best practices.
Have experience with AI platforms and technologies, including generative models and LLMs.
Experience building ML infrastructure and AI-powered solutions.
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