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At Scale, our mission is to accelerate the development of AI applications. We believe that to make the best models, you need the best data. 

The Scale Generative AI Platform leverages your enterprise data to customize powerful base generative models to safely unlock the value of AI. The Scale Data Engine consists of all the tools and features you need to collect, curate and annotate high-quality data, in addition to robust tools to evaluate and optimize your models. Scale powers the most advanced LLMs and generative models in the world through world-class RLHF, data generation, model evaluation, safety, and alignment.

Scale is trusted by leading technology companies like Microsoft and Meta, enterprises like Fox and Accenture, Generative AI companies like Open AI and Cohere, U.S. Government Agencies like the U.S. Army and the U.S. Airforce, and Startups like Brex and OpenSea. 

Technology

Scale AI

The Data Platform for AI: High quality training and validation data for AI applications.

You should have 5+ years in risk prevention or machine learning, a proven track record of shipping quality products, strong problem-solving skills, and thrive in fast-paced environments.

You will own product areas, build features end-to-end, deliver high-quality experiments, mentor engineers, and collaborate cross-functionally to define and ship new features.

Software Engineering

New York City

San Francisco

<p><strong>About Scale</strong></p><p>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, 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.</p><p><strong>About Data Engine</strong></p><p>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. The data we are producing is some of the most important work for how humanity will interact with AI.</p><p><strong>About our Fraud team</strong></p><p>The Fraud team works on preventing violations to our terms and service. They protect our platform against potential fraud, cheating, and abuse that are emerging in the GenAI era. The team works at the intersection of machine learning, analytics, and security.</p><p><strong>Responsibilities:</strong></p><ul><li>Own large areas within our product</li><li>Build features end-to-end: front-end, back-end, system design, debugging and testing</li><li>Deliver experiments at a high velocity and level of quality to engage our customers</li><li>Work across the entire product lifecycle from conceptualization through production</li><li>Influence the culture, values, and processes of a growing engineering team</li><li>Inspire and mentor less experienced engineers</li><li>Collaborating with cross-functional teams to define, design, and ship new product features and experiences.</li></ul><p><strong>Requirements:</strong></p><ul><li>At least 5 years of relevant experience is preferred</li><li>Experience in risk prevention, machine learning, or analytical work</li><li>Track record of shipping high-quality products and features at scale</li><li>Desire to work in a very fast-paced environment</li><li>Ability to turn business and product ideas into engineering solutions</li><li>Excellent problem-solving skills, and be able to work independently or as part of a team.</li><li>Excited to join a dynamic,&nbsp;hybrid&nbsp;team in either San Francisco or New&nbsp;York&nbsp;City</li></ul><p><em>Compensation packages at Scale for eligible roles include base&nbsp;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. Your recruiter can share more about the specific&nbsp;salary&nbsp;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.</em></p><p>Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base&nbsp;salary&nbsp;range for this&nbsp;full-time&nbsp;position in the locations of San Francisco, New&nbsp;York,&nbsp;Seattle&nbsp;is:</p><p>$188,000—$225,600&nbsp;USD</p><p><strong>About Us:</strong></p><p><em>At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI.&nbsp;Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications.</em></p><p><em>We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an affirmative action employer and 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.&nbsp;</em></p><p><em>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. Please see the United States Department of Labor's&nbsp;Know Your Rights poster&nbsp;for additional information.</em></p><p><em>We comply with the United States Department of Labor's&nbsp;Pay Transparency provision.&nbsp;</em></p><p><strong><em>PLEASE NOTE:</em></strong><em>&nbsp;We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data.</em></p>

About ScaleAt 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, 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 EngineOur 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. The data we are producing is some of the most important work for how humanity will interact with AI.About our Fraud teamThe Fraud team works on preventing violations to our terms and service. They protect our platform against potential fraud, cheating, and abuse that are emerging in the GenAI era. The team works at the intersection of machine learning, analytics, and security.Responsibilities:Own large areas within our productBuild features end-to-end: front-end, back-end, system design, debugging and testingDeliver experiments at a high velocity and level of quality to engage our customersWork across the entire product lifecycle from conceptualization through productionInfluence the culture, values, and processes of a growing engineering teamInspire and mentor less experienced engineersCollaborating with cross-functional teams to define, design, and ship new product features and experiences.Requirements:At least 5 years of relevant experience is preferredExperience in risk prevention, machine learning, or analytical workTrack record of shipping high-quality products and features at scaleDesire to work in a very fast-paced environmentAbility to turn business and product ideas into engineering solutionsExcellent problem-solving skills, and be able to work independently or as part of a team.Excited to join a dynamic, hybrid team in either San Francisco or New York CityCompensation 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. 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:$188,000—$225,600 USDAbout Us:At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI. Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. 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 affirmative action employer and 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 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. Please see the United States Department of Labor's Know Your Rights poster for additional information.We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data.

Tech Lead, Software Engineer, GenAI Fraud - Scale AI

<div>
 <div>
  About Scale
 </div> 
 <div>
   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, 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.
 </div> 
 <div>
   About Data Engine
 </div> 
 <div>
   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. The data we are producing is some of the most important work for how humanity will interact with AI.
 </div> 
 <div>
   About our Fraud team
 </div> 
 <div>
   The Fraud team works on preventing violations to our terms and service. They protect our platform against potential fraud, cheating, and abuse that are emerging in the GenAI era. The team works at the intersection of machine learning, analytics, and security.
 </div> 
 <div>
   Responsibilities:
 </div> 
 <ul> 
  <li>Own large areas within our product</li> 
  <li>Build features end-to-end: front-end, back-end, system design, debugging and testing</li> 
  <li>Deliver experiments at a high velocity and level of quality to engage our customers</li> 
  <li>Work across the entire product lifecycle from conceptualization through production</li> 
  <li>Influence the culture, values, and processes of a growing engineering team</li> 
  <li>Inspire and mentor less experienced engineers</li> 
  <li>Collaborating with cross-functional teams to define, design, and ship new product features and experiences.</li> 
 </ul> 
 <div>
  Requirements:
 </div> 
 <ul> 
  <li>At least 5 years of relevant experience is preferred</li> 
  <li>Experience in risk prevention, machine learning, or analytical work</li> 
  <li>Track record of shipping high-quality products and features at scale</li> 
  <li>Desire to work in a very fast-paced environment</li> 
  <li>Ability to turn business and product ideas into engineering solutions</li> 
  <li>Excellent problem-solving skills, and be able to work independently or as part of a team.</li> 
  <li>Excited to join a dynamic, hybrid team in either San Francisco or New York City</li> 
 </ul> 
 <div></div>
 <br> 
 <br> 
 <div>
  <div>
   <div>
    <div>
     <i>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. 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.</i>
    </div>
   </div>
   <div>
     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:
   </div>
   <div>
     $188,000—$225,600 USD
   </div>
  </div>
 </div>
 <div>
  <div>
    About Us:
  </div> 
  <div>
   <i> At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI. Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications.</i>
  </div> 
  <div>
   <i> We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an affirmative action employer and 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.</i>
  </div> 
  <div>
   <i> 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. Please see the United States Department of Labor's </i><i>Know Your Rights poster</i><i> for additional information.</i>
  </div> 
  <div>
   <i> We comply with the United States Department of Labor's </i><i>Pay Transparency provision</i><i>.</i>
  </div> 
  <div>
   <b><i> PLEASE NOTE: </i></b><i>We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data.</i>
  </div>
 </div>
</div>

Tech Lead, Software Engineer, GenAI Fraud

You need 4-6 years of Regulatory Affairs or Government experience, consensus-building skills, technical knowledge, and multitasking ability to excel in this AI Policy Lead role. Startup or tech company experience is a bonus.

You will lead policy engagements with federal agencies, industry associations, and standards organizations, shape government relations strategy, advise leadership on AI policies, and monitor regulatory changes.

Government & Politics

Data

Washington, DC

<p>At Scale, we believe that AI will dramatically improve the world, and our mission is to accelerate the development of AI. As Scale continues to build and develop its Government Relations function, we are looking for an AI Policy Lead to support our engagements with Government Agencies, Industry Trade Associations, and Standards Development Organizations.&nbsp;</p><p>The successful candidate will have a history of successfully driving successful Policy and Regulatory outcomes, and the ability to connect business objectives to policy wins.&nbsp;</p><p>Responsibilities:&nbsp;</p><ul><li>Lead Scale’s policy engagement with select federal agencies</li><li>Lead and support engagements with standards development organizations and industry trade associations on behalf of the Company</li><li>Work to understand business objectives related to portfolio and translate them into Policy wins</li><li>Assist in the formation of Scale’s government relations strategy and priorities</li><li>Lead the formation of Scale’s regulatory comments</li><li>Advise and brief Scale Leadership on policies impacting artificial intelligence policy</li><li>Build relationships with relevant stakeholders</li><li>Monitor policy, and regulatory changes for potential impact to Scale’s business</li></ul><p>Required skills and qualifications:&nbsp;</p><ul><li>Between 4-6 years experience in Regulatory Affairs or working in the Government</li><li>Experience successfully securing consensus for priorities at trade associations, standards bodies</li><li>Experience leading company response to Rulemakings, Request for Comments, etc.&nbsp;</li><li>Excellent written and verbal communication skills&nbsp;</li><li>Previous technical experience such as publishing research/peer reviewed paper, covering technology policy as an issue area within the Government, working at a technical Government Agency within the Executive Branch, or experience in the technology sector&nbsp;</li><li>A history of managing multiple works streams simultaneously</li></ul><p>Nice to haves:&nbsp;</p><ul><li>History working within a startup environment or tech company&nbsp;</li></ul>

At Scale, we believe that AI will dramatically improve the world, and our mission is to accelerate the development of AI. As Scale continues to build and develop its Government Relations function, we are looking for an AI Policy Lead to support our engagements with Government Agencies, Industry Trade Associations, and Standards Development Organizations. The successful candidate will have a history of successfully driving successful Policy and Regulatory outcomes, and the ability to connect business objectives to policy wins. Responsibilities: Lead Scale’s policy engagement with select federal agenciesLead and support engagements with standards development organizations and industry trade associations on behalf of the CompanyWork to understand business objectives related to portfolio and translate them into Policy winsAssist in the formation of Scale’s government relations strategy and prioritiesLead the formation of Scale’s regulatory commentsAdvise and brief Scale Leadership on policies impacting artificial intelligence policyBuild relationships with relevant stakeholdersMonitor policy, and regulatory changes for potential impact to Scale’s businessRequired skills and qualifications: Between 4-6 years experience in Regulatory Affairs or working in the GovernmentExperience successfully securing consensus for priorities at trade associations, standards bodiesExperience leading company response to Rulemakings, Request for Comments, etc. Excellent written and verbal communication skills Previous technical experience such as publishing research/peer reviewed paper, covering technology policy as an issue area within the Government, working at a technical Government Agency within the Executive Branch, or experience in the technology sector A history of managing multiple works streams simultaneouslyNice to haves: History working within a startup environment or tech company 

Scale AI

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