Scale AI

A leading AI company is looking for a Senior Full-Stack Engineer to own major product areas and drive features from design through production deployment. This role requires strong experience in developing full-stack applications with React, TypeScript, and Python, as well as a background in scaling products at high-growth startups. The ideal candidate will tackle complex challenges in scalability and reliability while ensuring a top-notch product experience. This position offers a competitive salary range of $216,200 - $270,250 USD in New York.

A leading AI technology firm is seeking a Senior Software Engineer for their Billing Platform team in New York City. This position involves designing and implementing flexible financial systems while ensuring high-quality deliverables. The ideal candidate will have over 5 years of experience in software engineering, with a strong grasp of both frontend and backend systems. Competitive compensation includes a salary range of $188,000 - $235,000, along with various benefits.

A leading AI technology firm is seeking a Senior Software Engineer for their Billing Platform team in New York City. This position involves designing and implementing flexible financial systems while ensuring high-quality deliverables. The ideal candidate will have over 5 years of experience in software engineering, with a strong grasp of both frontend and backend systems. Competitive compensation includes a salary range of $188,000 - $235,000, along with various benefits.

Senior Software Engineer, Billing Platform About Scale 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. About Data Engine 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. About our Billing Team We're looking for entrepreneurial Software Engineers to join our Billing Platform team. In this role, you'll have the opportunity to drive the revenue tracking and billing system for our Generative AI products. You'll be deeply involved in building flexible, new systems to support customer billing use cases, implementing complex billing partitioning schemes based on dynamic criteria, and/or improving customer invoice generation and balance visibility. 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. The ideal person is a natural entrepreneurial engineer who can take an ambiguous scope and lead the execution of outcomes, doing what it takes to hit them, including coding, talking to customers, defining requirements, etc. We strongly believe the best engineers own outcomes and deeply understand customer problems. Responsibilities Design, implement, and operate flexible and accurate financial systems Work across backend, frontend, and accounting related systems Deliver at a high velocity and level of quality to engage our customers Work across the entire product lifecycle from conceptualization through production Be able, and willing, to multi task and learn new technologies quickly Provide critical input in the Billing team's roadmap and technical direction Work closely with cross functional partners like finance, product, software engineers, and operations to identify opportunities for business impact, understand, refine and prioritize requirements for billing schemes and financial infrastructure. Requirements 5+ years of software engineering experience, ideally in high growth, product focused environments Proven track record of shipping production systems at scale Drive reliability and performance across critical infrastructure systems, ensuring our platforms scale predictably and operate with high availability. Strong technical depth in one or more areas: front end frameworks, distributed systems, data infrastructure, or developer tooling Experience working across the stack, ideally with React, TypeScript, Node.js, Python, MongoDB, Elasticsearch, and/or Temporal Strong product sense and ability to translate ambiguous problems into technical solutions Comfortable working in a fast paced, high ownership environment with a bias toward execution Excited to join a dynamic hybrid team based in San Francisco or New York City Compensation packages 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. Initial salary range for full time positions in San Francisco, New York, and Seattle is $188,000 - $235,000 USD. Additional benefits include comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, generous PTO, and a commuter stipend. Our Hiring Process Our policy requires a 90 day waiting period before reconsidering candidates for the same role. 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 are committed to equal employment opportunity and inclusive hiring. We provide reasonable accommodations for applicants with disabilities. For more details, see our privacy policy. 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 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 . Please see the United States Department of Labor's Know Your Rights poster for additional information. 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. Please see our privacy policy for additional information.

A leading AI technology firm in Washington DC is seeking a Machine Learning Engineer to design automated evaluation pipelines. The role involves working with advanced AI systems in government settings to ensure reliability and safety. Candidates should have strong skills in Python and experience in machine learning and model evaluation frameworks. The position offers a competitive compensation package reflective of the candidate's experience and location.

A leading AI technology firm in Washington DC is seeking a Machine Learning Engineer to design automated evaluation pipelines. The role involves working with advanced AI systems in government settings to ensure reliability and safety. Candidates should have strong skills in Python and experience in machine learning and model evaluation frameworks. The position offers a competitive compensation package reflective of the candidate's experience and location.

A leading AI technology firm in Washington DC is seeking a Machine Learning Engineer to design automated evaluation pipelines. The role involves working with advanced AI systems in government settings to ensure reliability and safety. Candidates should have strong skills in Python and experience in machine learning and model evaluation frameworks. The position offers a competitive compensation package reflective of the candidate's experience and location.

A leading AI technology company in San Francisco is looking for talent to research and innovate in the field of AI. The role focuses on advanced data strategies and the development of LLM agents, requiring proficiency in frameworks like Pytorch and a strong track record of research. The ideal candidate will collaborate across teams to deliver impactful AI solutions, contribute to publications, and work in a dynamic environment. Competitive salary and benefits offered.

A leading AI technology firm in Washington DC is seeking a Machine Learning Engineer to design automated evaluation pipelines. The role involves working with advanced AI systems in government settings to ensure reliability and safety. Candidates should have strong skills in Python and experience in machine learning and model evaluation frameworks. The position offers a competitive compensation package reflective of the candidate's experience and location.

A leading AI technology firm is seeking a Senior Backend Engineer to build scalable systems for frontier AI use cases. You will drive major backend systems, improve performance, and partner with cross-functional teams. The ideal candidate has over 5 years of software engineering experience and strong backend fundamentals, particularly with Docker and SQL. This role offers a competitive salary and a range of benefits including health coverage and PTO.

A tech company specializing in AI is seeking a Distinguished Engineer to lead their AI/ML infrastructure development. This hands-on technical leader will influence architectural decisions and mentor senior engineers, aiming to enhance enterprise-level AI capabilities. Candidates should have over 15 years of experience and expertise in AI/ML infrastructure. Competitive compensation and benefits are offered, reflecting the company's commitment to innovation and technical excellence.

A tech company specializing in AI is seeking a Distinguished Engineer to lead their AI/ML infrastructure development. This hands-on technical leader will influence architectural decisions and mentor senior engineers, aiming to enhance enterprise-level AI capabilities. Candidates should have over 15 years of experience and expertise in AI/ML infrastructure. Competitive compensation and benefits are offered, reflecting the company's commitment to innovation and technical excellence.

The Frontier Data team builds the data and systems that power Scale's most advanced Frontier AI use cases (agentic capabilities like coding agents, tool use, and GUI / computer-use automation). Our work sits at the intersection of applied AI and robust backend engineering: we turn messy, ambiguous problems into scalable platforms and pipelines that reliably produce high-quality outcomes. We're looking for a Senior Backend Engineer who thrives in ambiguity, moves fast, and enjoys tackling daunting challenges - someone who can design and build scalable systems while partnering closely with research, product, operations, and other engineering teams. What You'll Do Own major backend systems for frontier agentic data products, driving projects from early exploration through production deployment. Build scalable services and pipelines that support agent workflows (e.g., coding, tool-use orchestration, GUI/computer-use tasks), with strong reliability and observability. Architect modular, reusable backend systems that adapt to evolving product needs while maintaining scalability, reliability, and clean interfaces. Operate in high-ambiguity environments: break down open-ended problems, propose approaches, and execute with speed and clarity. Partner cross-functionally with product, research/ML, and infrastructure teams to define requirements and ship impactful systems. Improve system performance and cost efficiency through thoughtful architecture, profiling, and iterative optimization. Raise the engineering bar through design reviews, code reviews, and pragmatic best practices. Ideal Experience 5+ years of full-time software engineering experience (post-graduation). Strong backend engineering fundamentals: distributed systems, API design, data modeling, and production reliability. Strong experience with Docker and containerized development/production environments (building images, debugging, and operating container-based services). Demonstrated ability to ship quickly in ambiguous, fast-changing environments (high-growth startup experience is a plus). Experience building systems that scale: queues, async processing, workflow engines, data pipelines, or similar. Comfort working close to AI/ML systems (production experience welcome; curiosity and strong fundamentals also valued). Proficiency with SQL and modern database-backed application development. Compensation & Benefits 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. Base salary range for this full time position in the locations of San Francisco, New York, Seattle is: $216,200 - $270,250 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. 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 like 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. 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 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 . 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. 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. Please see our privacy policy for additional information.

A leading AI data foundry in New York is seeking an experienced Software Engineer to design and maintain robust systems for its AI applications. The ideal candidate will have over 5 years of software engineering experience, proficiency in multiple modern technologies, and a strong drive for performance and reliability. The position offers a competitive salary range of $188,000 - $235,000, along with equity and benefits including health coverage and PTO.

A leading AI data foundry in New York is seeking an experienced Software Engineer to design and maintain robust systems for its AI applications. The ideal candidate will have over 5 years of software engineering experience, proficiency in multiple modern technologies, and a strong drive for performance and reliability. The position offers a competitive salary range of $188,000 - $235,000, along with equity and benefits including health coverage and PTO.

Scale AI is seeking a highly technical and strategic Staff / Senior Staff Machine Learning Engineer to act as the Tech Lead for its next generation of deep research agents for the Enterprise. This high impact role will drive the technical direction and oversight for Deep Research Agent Development, translating cutting edge research in Generative AI, Large Language Models (LLMs), and Agentic Frameworks into robust, scalable production systems that enhance enterprise operations, analytics, and core efficiency. Responsibilities Set the Technical Roadmap: Define and own the technical strategy, architecture, and roadmap for Deep Research Agents for the Enterprise, ensuring alignment with Scale AI's overall AI strategy and business goals. Drive Breakthrough Research to Production: Lead the end to end development, from initial research to production deployment, to landing on customer impact, with a focus on integrating diverse data modalities. Advanced Knowledge Retrieval: Architect and implement state of the art retrieval systems to ensure the agents provide accurate and comprehensive answers from public and proprietary data sources from enterprises. Data Analysis: Design and champion the development of data analysis agents that accurately translate complex natural language queries into executable SQL/code against diverse enterprise data schemas. Multimodal Intelligence: Lead the integration of Multimodal AI capabilities to process and extract structured information from visual documents, tables, and forms, enriching the agent's knowledge base. Architecture & Design: Design and champion highly scalable, reliable, and low latency infrastructure and frameworks for building, orchestrating, and evaluating multi agent systems at enterprise scale. Technical Excellence: Serve as the technical authority for the team, leading design reviews, defining ML engineering best practices, and ensuring code quality, security, and operational excellence for all agent systems. Lead and Mentor: Technically lead and mentor a team of Machine Learning Engineers and Research Scientists, fostering a culture of innovation, rigorous engineering, rapid iteration, and technical depth. Recruiting & Growth: Partner with management to hire, onboard, and grow top tier talent, helping to shape the long term structure and capabilities of the team. Cross Functional Influence: Collaborate effectively with Product Managers, Data Scientists, and other engineering/science teams to translate ambiguous, high level business problems into concrete, executable technical specifications and impactful agent solutions. Basic Qualifications Bachelor's degree in Computer Science, Electrical Engineering, a related field, or equivalent practical experience. 8+ years of experience in software development, with at least 6 years focused on Machine Learning, Deep Learning, or Applied Research in a production environment. 2+ years of experience in a formal or informal Technical Leadership role (Team Lead, Tech Lead) with a focus on setting technical direction for a domain. Deep expertise in Generative AI and Large Language Models (LLMs). Demonstrated experience designing, building, and deploying AI Agents or complex Agentic systems in production at scale. Experience with large scale distributed systems and real time data processing. Preferred Qualifications Advanced degree (Master's or Ph.D.) in Computer Science, Machine Learning, or a related quantitative field. Demonstrated experience designing and deploying production grade Text to SQL systems, including handling complex schema linking and query optimization. Practical experience with Multimodal AI, specifically integrating OCR and vision language models for document intelligence and structured data extraction from images/forms. Proven experience in one or more relevant deep research areas: Reinforcement Learning (RL), Reasoning and Planning, Agentic Systems. Experience with vector databases and advanced retrieval techniques. A track record of publishing research papers in top tier ML/AI conferences (e.g., NeurIPS, ICML, ICLR, KDD). Excellent written and verbal communication skills, with the ability to articulate complex technical vision to executive stakeholders and technical peers. Experience driving cross team technical initiatives that have delivered significant business impact. Compensation Base salary range for this full time position in San Francisco, New York, and Seattle: $252,000 - $315,000 USD. About Scale AI At Scale AI we develop reliable AI systems for the world's most important decisions. Our products provide high quality data and full stack technologies that power leading models and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders and are expanding our team to accelerate the development of AI applications. Equality, Diversity, and Inclusion 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 will provide reasonable accommodations to applicants with physical and mental disabilities. All qualified applicants will receive consideration for employment without regard to any protected status.

Scale AI is seeking a highly technical and strategic Staff / Senior Staff Machine Learning Engineer to act as the Tech Lead for its next generation of deep research agents for the Enterprise. This high impact role will drive the technical direction and oversight for Deep Research Agent Development, translating cutting edge research in Generative AI, Large Language Models (LLMs), and Agentic Frameworks into robust, scalable production systems that enhance enterprise operations, analytics, and core efficiency. Responsibilities Set the Technical Roadmap: Define and own the technical strategy, architecture, and roadmap for Deep Research Agents for the Enterprise, ensuring alignment with Scale AI's overall AI strategy and business goals. Drive Breakthrough Research to Production: Lead the end to end development, from initial research to production deployment, to landing on customer impact, with a focus on integrating diverse data modalities. Advanced Knowledge Retrieval: Architect and implement state of the art retrieval systems to ensure the agents provide accurate and comprehensive answers from public and proprietary data sources from enterprises. Data Analysis: Design and champion the development of data analysis agents that accurately translate complex natural language queries into executable SQL/code against diverse enterprise data schemas. Multimodal Intelligence: Lead the integration of Multimodal AI capabilities to process and extract structured information from visual documents, tables, and forms, enriching the agent's knowledge base. Architecture & Design: Design and champion highly scalable, reliable, and low latency infrastructure and frameworks for building, orchestrating, and evaluating multi agent systems at enterprise scale. Technical Excellence: Serve as the technical authority for the team, leading design reviews, defining ML engineering best practices, and ensuring code quality, security, and operational excellence for all agent systems. Lead and Mentor: Technically lead and mentor a team of Machine Learning Engineers and Research Scientists, fostering a culture of innovation, rigorous engineering, rapid iteration, and technical depth. Recruiting & Growth: Partner with management to hire, onboard, and grow top tier talent, helping to shape the long term structure and capabilities of the team. Cross Functional Influence: Collaborate effectively with Product Managers, Data Scientists, and other engineering/science teams to translate ambiguous, high level business problems into concrete, executable technical specifications and impactful agent solutions. Basic Qualifications Bachelor's degree in Computer Science, Electrical Engineering, a related field, or equivalent practical experience. 8+ years of experience in software development, with at least 6 years focused on Machine Learning, Deep Learning, or Applied Research in a production environment. 2+ years of experience in a formal or informal Technical Leadership role (Team Lead, Tech Lead) with a focus on setting technical direction for a domain. Deep expertise in Generative AI and Large Language Models (LLMs). Demonstrated experience designing, building, and deploying AI Agents or complex Agentic systems in production at scale. Experience with large scale distributed systems and real time data processing. Preferred Qualifications Advanced degree (Master's or Ph.D.) in Computer Science, Machine Learning, or a related quantitative field. Demonstrated experience designing and deploying production grade Text to SQL systems, including handling complex schema linking and query optimization. Practical experience with Multimodal AI, specifically integrating OCR and vision language models for document intelligence and structured data extraction from images/forms. Proven experience in one or more relevant deep research areas: Reinforcement Learning (RL), Reasoning and Planning, Agentic Systems. Experience with vector databases and advanced retrieval techniques. A track record of publishing research papers in top tier ML/AI conferences (e.g., NeurIPS, ICML, ICLR, KDD). Excellent written and verbal communication skills, with the ability to articulate complex technical vision to executive stakeholders and technical peers. Experience driving cross team technical initiatives that have delivered significant business impact. Compensation Base salary range for this full time position in San Francisco, New York, and Seattle: $252,000 - $315,000 USD. About Scale AI At Scale AI we develop reliable AI systems for the world's most important decisions. Our products provide high quality data and full stack technologies that power leading models and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders and are expanding our team to accelerate the development of AI applications. Equality, Diversity, and Inclusion 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 will provide reasonable accommodations to applicants with physical and mental disabilities. All qualified applicants will receive consideration for employment without regard to any protected status.

As a member of our Frontier Tech Consultant team, you will be accountable for driving future revenue by ensuring that Scale AI successfully executes new product experiments in a timely manner while maintaining the highest quality standards. You will manage and help on our experiment design and our supply operation funnel by building and running solutions, tools, and processes working with the SPM team and a cross-functional team including EPD, Customer Operations, Product Operations, Product Managers, and many others. You will be solving complex operational problems and deep diving to improve instructions and training on projects to maintain the highest quality standards. You may also be leading a team of tasker managers and acting as a liaison between customer needs and tasker communication and experience. The ideal candidate is scrappy, analytical, detail-oriented, empathetic, outcome-focused, a strong writer, and above all someone who drives and inspires results. You will be responsible for: Design new product experiments Build ground truth datasets to train LLMs Help develop training and testing material for small scale pipelines Think critically around the definition of quality for new products Build and drive critical operational processes for various Gen AI experimental projects Create an effective feedback loop between the front line, product, strategy, and customers Ideally you'd have: Strong machine learning knowledge, either by being in the final years of a ML PhD career or having already graduated Strong writing and verbal communication skills An action-oriented mindset that balances creative problem solving with the scrappiness to ultimately deliver results Analytical, planning, and process improvement capability Experience working in a fast-paced, entrepreneurial environment Technical skills including familiarity with APIs, large language models, machine learning, and querying languages like SQL Pay: $60-80/hr Commitment: This is a fully remote, US-based part-time (10-20 hours per week), on-going contract position staffed via HireArt. HireArt values diversity and is an Equal Opportunity Employer. We are interested in every qualified candidate who is eligible to work in the United States. Unfortunately, we are not able to sponsor visas or employ corp-to-corp. 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. About 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 . 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. Please see our privacy policy for additional information.

Senior Software Engineer, Billing Platform About Scale 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. About Data Engine 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. About our Billing Team We're looking for entrepreneurial Software Engineers to join our Billing Platform team. In this role, you'll have the opportunity to drive the revenue tracking and billing system for our Generative AI products. You'll be deeply involved in building flexible, new systems to support customer billing use cases, implementing complex billing partitioning schemes based on dynamic criteria, and/or improving customer invoice generation and balance visibility. 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. The ideal person is a natural entrepreneurial engineer who can take an ambiguous scope and lead the execution of outcomes, doing what it takes to hit them, including coding, talking to customers, defining requirements, etc. We strongly believe the best engineers own outcomes and deeply understand customer problems. Responsibilities Design, implement, and operate flexible and accurate financial systems Work across backend, frontend, and accounting related systems Deliver at a high velocity and level of quality to engage our customers Work across the entire product lifecycle from conceptualization through production Be able, and willing, to multi task and learn new technologies quickly Provide critical input in the Billing team's roadmap and technical direction Work closely with cross functional partners like finance, product, software engineers, and operations to identify opportunities for business impact, understand, refine and prioritize requirements for billing schemes and financial infrastructure. Requirements 5+ years of software engineering experience, ideally in high growth, product focused environments Proven track record of shipping production systems at scale Drive reliability and performance across critical infrastructure systems, ensuring our platforms scale predictably and operate with high availability. Strong technical depth in one or more areas: front end frameworks, distributed systems, data infrastructure, or developer tooling Experience working across the stack, ideally with React, TypeScript, Node.js, Python, MongoDB, Elasticsearch, and/or Temporal Strong product sense and ability to translate ambiguous problems into technical solutions Comfortable working in a fast paced, high ownership environment with a bias toward execution Excited to join a dynamic hybrid team based in San Francisco or New York City Compensation packages 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. Initial salary range for full time positions in San Francisco, New York, and Seattle is $188,000 - $235,000 USD. Additional benefits include comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, generous PTO, and a commuter stipend. Our Hiring Process Our policy requires a 90 day waiting period before reconsidering candidates for the same role. 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 are committed to equal employment opportunity and inclusive hiring. We provide reasonable accommodations for applicants with disabilities. For more details, see our privacy policy. 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 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 . Please see the United States Department of Labor's Know Your Rights poster for additional information. 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. Please see our privacy policy for additional information.

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. About Data Engine 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. 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 ML, operations, and analytics to ensure we deliver the highest quality data at scale. Responsibilities Design, build, and maintain robust, scalable systems across the full stack, including front end, back end, and infrastructure layers Implement high impact features using modern technologies such as TypeScript, React, Node.js, MongoDB, Elasticsearch, and Temporal Collaborate closely with internal operators (your users are your neighbors) to identify bottlenecks and ship fast, pragmatic solutions Own core systems critical to our contributor platform, with direct impact on Scale's GenAI data pipeline and business outcomes Architect and scale infrastructure capable of handling millions of tasks per week with high reliability and low latency Partner cross functionally with ML teams, Forward Deployed Engineers, and Product to ensure data quality and operational excellence Contribute to a strong engineering culture while setting best practices for teammates through mentorship, code reviews, and process improvements Requirements 5+ years of software engineering experience, ideally in high growth, product focused environments Proven track record of shipping production systems at scale Drive reliability and performance across critical infrastructure systems, ensuring our platforms scale predictably and operate with high availability Strong technical depth in one or more areas: front end frameworks, distributed systems, data infrastructure, or developer tooling Experience working across the stack, ideally with React, TypeScript, Node.js, Python, MongoDB, Elasticsearch, and/or Temporal Strong product sense and ability to translate ambiguous problems into technical solutions Comfortable working in a fast paced, high ownership environment with a bias toward execution Excited to join a dynamic 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. 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. 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 - $235,000 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. 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 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 . 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. Please see our privacy policy for additional information.