Scale AI
About Scale
At Scale AI, our mission is to accelerate the development of AI applications. For eight years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we’re accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI), and building upon our prior model evaluation work with enterprise customers and governments to deepen our capabilities and offerings for both public and private evaluations.
About Data Engine Our Generative AI Data Engine powers the world’s most advanced large‑language models (LLMs) and generative models through world‑class reinforcement learning with human feedback (RLHF), human data generation, model evaluation, safety, and alignment. The data we produce is some of the most important work for how humanity will interact with AI.
Our Approach As part of the interview process, you’ll be considered for opportunities across several teams within the GenAI Engineering organization, based on your interests, expertise, and business needs. Potential team placements include Allocation, Growth, Frontier Data, Trust & Safety, Pay, Operator, or Tasking Experience. Together, these teams power Scale’s AI data operations—from building high‑impact datasets that push the boundaries of LLM capabilities to optimizing contributor onboarding and incentives, to safeguarding data integrity through advanced trust, safety, and security measures. They work at the intersection of machine learning, operations, and analytics to ensure we deliver the highest‑quality data at scale.
Responsibilities
Design and implement features end‑to‑end across front‑end, back‑end, and infrastructure.
Build features end‑to‑end using technologies like TypeScript, MongoDB, and Elasticsearch, and contribute to our compute orchestration layer powered by Temporal.
Own high‑impact technical systems that are critical to Scale’s revenue delivery.
Build and iterate on complex systems that scale to millions of tasks per week.
Collaborate with model teams, Forward‑Deployed Engineers, and cross‑functional stakeholders.
Help shape the engineering culture, values, and best practices of a fast‑growing team.
Requirements
3+ years of relevant software engineering experience.
Track record of building and shipping products at scale.
Ability to thrive in a fast‑paced, high‑ownership environment.
Strong product intuition and problem‑solving skills.
Experience across the stack: React, TypeScript, Node, Python, etc.
Excited to join a hybrid team based in San Francisco or New York City.
Compensation 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, determined by work location and additional factors—including job‑related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity‑based compensation, subject to Board of Directors approval. You’ll also receive benefits including comprehensive health, dental, and vision coverage, retirement benefits, a learning and development stipend, generous PTO, and a commuter stipend. The base salary range for this full‑time position in the locations of San Francisco, New York, and Seattle is $179,400–$224,250 USD.
About Us 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 such as Meta, Cisco, DLA Piper, 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.
Equal Employment Opportunity 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 are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. We comply with the United States Department of Labor’s Pay Transparency provision, and we collect, retain and use personal data for our professional business purposes in accordance with applicable laws and our privacy policy. Please see our privacy policy for additional information.
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About Data Engine Our Generative AI Data Engine powers the world’s most advanced large‑language models (LLMs) and generative models through world‑class reinforcement learning with human feedback (RLHF), human data generation, model evaluation, safety, and alignment. The data we produce is some of the most important work for how humanity will interact with AI.
Our Approach As part of the interview process, you’ll be considered for opportunities across several teams within the GenAI Engineering organization, based on your interests, expertise, and business needs. Potential team placements include Allocation, Growth, Frontier Data, Trust & Safety, Pay, Operator, or Tasking Experience. Together, these teams power Scale’s AI data operations—from building high‑impact datasets that push the boundaries of LLM capabilities to optimizing contributor onboarding and incentives, to safeguarding data integrity through advanced trust, safety, and security measures. They work at the intersection of machine learning, operations, and analytics to ensure we deliver the highest‑quality data at scale.
Responsibilities
Design and implement features end‑to‑end across front‑end, back‑end, and infrastructure.
Build features end‑to‑end using technologies like TypeScript, MongoDB, and Elasticsearch, and contribute to our compute orchestration layer powered by Temporal.
Own high‑impact technical systems that are critical to Scale’s revenue delivery.
Build and iterate on complex systems that scale to millions of tasks per week.
Collaborate with model teams, Forward‑Deployed Engineers, and cross‑functional stakeholders.
Help shape the engineering culture, values, and best practices of a fast‑growing team.
Requirements
3+ years of relevant software engineering experience.
Track record of building and shipping products at scale.
Ability to thrive in a fast‑paced, high‑ownership environment.
Strong product intuition and problem‑solving skills.
Experience across the stack: React, TypeScript, Node, Python, etc.
Excited to join a hybrid team based in San Francisco or New York City.
Compensation 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, determined by work location and additional factors—including job‑related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity‑based compensation, subject to Board of Directors approval. You’ll also receive benefits including comprehensive health, dental, and vision coverage, retirement benefits, a learning and development stipend, generous PTO, and a commuter stipend. The base salary range for this full‑time position in the locations of San Francisco, New York, and Seattle is $179,400–$224,250 USD.
About Us 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 such as Meta, Cisco, DLA Piper, 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.
Equal Employment Opportunity 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 are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. We comply with the United States Department of Labor’s Pay Transparency provision, and we collect, retain and use personal data for our professional business purposes in accordance with applicable laws and our privacy policy. Please see our privacy policy for additional information.
#J-18808-Ljbffr