# Staff Software Engineer, Full Stack - Gen AI

**Company**: Scale
**Location**: New York, NY
**Experience**: staff
**Job type**: full-time
**Salary**: $252,000-$315,000 USD
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/scaleai/jobs/4713608005?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_36b7fffd-af2

## Description

Our Generative AI Data Engine powers the world’s most advanced LLMs and generative models through world-class RLHF (Reinforcement Learning with Human Feedback), human data generation, model evaluation, safety, and alignment.

This is a horizontal, high-impact L6 Staff Fullstack Engineer & Architect position reporting directly to the Director of Contributor Engineering. Instead of being tied to a single domain, your scope is spread across all Contributor (CB) teams (including Allocation, Growth, Trust & Safety, Pay, and Allocations).

You will:

- Deploy flexibly into critical, fast-moving product initiatives across the CB organization

- Lead the architectural overhaul of our platform infrastructure, making it highly sustainable, robust, and optimized for deep integration with LLMs and foundation models.

- Lead architecture decisions for scalability, reliability, and performance

- Mentor and uplevel engineers across the team

- Partner with product and leadership to shape roadmap and priorities

- Own large, ambiguous problem spaces end-to-end

- Work across backend, frontend, and ML systems

Ideally you'd have:

- 7+ years of full-time engineering experience, post-graduation, with a proven track record of operating as a Tech Lead, Architect, or Principal Engineer.

- Track record of shipping high-quality products and features at scale

- Experience tinkering with or productizing LLMs, vector databases, and the other latest AI technologies

- Proficient in Javascript/Typescript, and SQL

- Experience with Kubernetes

- Experience with major cloud providers (AWS, Azure, GCP)

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training.

Benefits include:

- Comprehensive health, dental and vision coverage

- Retirement benefits

- A learning and development stipend

- Generous PTO

- Commuter stipend (may be eligible)

## Skills

### Required
- Javascript/Typescript
- SQL
- Kubernetes
- AWS
- Azure
- GCP
- LLMs
- vector databases

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/scaleai/jobs/4713608005?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)