Scale AI
At Scale AI, our mission is to accelerate the development of AI applications. For 8 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, were 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 worlds most advanced LLMs and generative models through world?class RLHF (Reinforcement Learning with Human Feedback), 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.
Our Approach
As part of the interview process, youll 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 Scales 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 ML, 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 Scales 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 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 Director approval. Youll 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. Pay transparency: the base salary range for this full?time position in San?Francisco, New?York, and Seattle is $179,400 $224,250 USD. 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 are also committed to providing reasonable accommodations to applicants with disabilities. #J-18808-Ljbffr
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 Scales 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 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 Director approval. Youll 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. Pay transparency: the base salary range for this full?time position in San?Francisco, New?York, and Seattle is $179,400 $224,250 USD. 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 are also committed to providing reasonable accommodations to applicants with disabilities. #J-18808-Ljbffr