You and the process

With a person
Anna, in-house recruiter
9 years hiring engineers
30 minutes with a real recruiter
They read your CV with you, on a call, and say where the offers are being lost.
Didn’t find what you were looking for? Tell us what to build
Early Window: Closes in
Company hidden

Staff Software Engineer

  • Office
  • 6+ years

Salary

$250,000 - 315,000/ year

AI summary

For members

The whole posting in a few lines. Sign up to read it here and on every role you open.

Sign Up to Read

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.

At Scale, our products include the Generative AI Data Engine, SGP, Donovan, and others that power 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.

At the foundation of these products is the Platform Engineering team. In this role, you will redefine how engineers develop, build, test, and deploy software at Scale using AI development tools in addition to traditional practices. 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.

At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We comply with the United States Department of Labor's Pay Transparency provision .

Responsibilities

  • Define next-generation AI development tooling and frameworks using products like Cursor, Claude Code, OpenAI Codex, and MS Copilot, as well as in-house custom-built solutions.
  • Drive the architecture, design, and implementation of our local development process, build, test, continuous integration, and continuous delivery systems, working closely with stakeholders and internal customers to understand and refine requirements.
  • Directly mentor software engineers ranging from new grads to experienced engineers.
  • Proactively identify opportunities and drive improvements to software development practices, processes, tools, and languages.
  • Present technical information to teams and stakeholders, providing guidance and insight on development processes and technologies.
  • Ideally you’d have:
  • 8+ years of full-time engineering experience, post-graduation, with experience in build, test, or CI/CD systems.
  • Extensive experience defining and evangelizing best-practices for AI development tools, including cost guardrails, security frameworks, and hosting knowledge-sharing sessions, among others.
  • Extensive experience in software development and a deep understanding of distributed systems and public cloud platforms (AWS preferred).
  • Experience configuring, testing, and enabling MCP servers, AI agents, and other associated systems.
  • Show a track record of independent ownership of successful engineering projects.
  • Possess excellent communication and collaboration skills, and the ability to translate complex technical concepts to non-technical stakeholders.
  • Experience working fluently with standard infrastructure, containerization, and deployment technologies like Terraform, Docker, Kubernetes, etc.
  • Experience with modern web frameworks like NodeJS, NextJS, etc.
  • Strong knowledge of software engineering best practices and CI/CD tooling (CircleCI, Helm, ArgoCD).
  • Nice to haves:
  • Experience scaling products at hyper-growth startups.
  • Experience with modern build systems like Bazel, Buck, Pants, etc.
  • 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. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
  • Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:
  • $252,000 - $315,000 USD
  • PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

Where you’d work

From the office

About the company

Company hidden

  • Industry: AI

Offices in San Francisco, United States, New York, United States

Your chances

Still hiring, not crowded yet, and you'd be among the first.

  • 17 checks run
  • 7 good signs
  • 1 red flag

Still hiring?

11 checks

Actively hiring

In its favour4

  • Still on the company's own careers site, checked 1 h agoModerate evidence
  • Found in the last 48 hours, before the big job boardsModerate evidence
  • Specific about the basics: pay, place, level, stack and contract all statedSlight evidence
1 moreFewer
  • States its salarySlight evidence

How crowded?

6 checks

Low

In its favour3

  • In its Early Window: not on the big job boards yetStrong evidence
  • Asks for 8+ years: a narrow poolModerate evidence
  • Asks for Next.js, which fewer than 1% of open roles doSlight evidence

Against it1

  • Pays more than 91% of similar roles: that draws applicantsSlight evidence

Fits Me

How well does this role fit you?

Answer a few questions or drop your CV, and every role gets a fit score with the reasons, this one first.

  • Your field
  • Level
  • Stack
  • Work model
  • Salary floor
  • Must-haves
Details12 facts · Role, Location, Compensation, Employment, Company
Tech stack
  • Next.js
  • Node.js
  • AWS
  • Kubernetes
  • Docker
  • Terraform
  • CI/CD
  • LLMs
Seniority
Staff
Type
Full-time
Equity
Equity offered
Industry
AI
Region
United States
Show 6 more factsShow less

Role

Category
Development
Seniority
Staff
Experience
8+ years
Tech stack
  • Next.js
  • Node.js
  • AWS
  • Kubernetes
  • Docker
  • Terraform
  • CI/CD
  • LLMs

Location

Work model
Office
Region
United States
Offices
  • San Francisco, United States
  • New York, United States

Compensation

Salary
$250,000 - 315,000 / year
Pay period
Annual
Equity
Equity offered

Employment

Type
Full-time

Company

Industry
AI

Something wrong with this vacancy?

Similar vacancies

Share this vacancy

What's wrong with it?

The employer never sees who reported.

Reason