Scaleai

Machine Learning Engineer, Platform
London, UK
Scale GP (Scale Generative AI Platform) is an enterprise-grade Generative AI platform that provides APIs for knowledge retrieval, inference, evaluation, and agentic workflows. We are looking for a Machine Learning Engineer to join our team and build the retrieval and knowledge representation systems at the heart of the platform. You will own ML components end to end — from research and prototyping through to production deployment — working across knowledge bases, vector stores, RAG pipelines, and context engines to power agents that deliver real impact for enterprise customers. 
You will:
<ul>
<li>Own large areas of platform end to end, driving components from design through to production deployment.</li>
<li>Work on knowledge representation systems, including ontologies and knowledge graphs, to support structured reasoning over enterprise data.</li>
<li>Design and implement RAG pipelines, including chunking, embedding, indexing, retrieval, and reranking.</li>
<li>Build and maintain integrations between retrieval and ML components and diverse enterprise data sources, vector databases, APIs, and services.</li>
<li>Develop context retrieval systems that balance recall, precision, latency, and cost.</li>
<li>Build evaluation frameworks, datasets, and metrics to measure retrieval quality, context relevance, and end to end agent performance.</li>
<li>Build reliable backend services and data pipelines that support ML and LLM components in production.</li>
<li>Deliver experiments and new capabilities quickly, maintaining high quality and tight feedback loops with customers.</li>
<li>Collaborate across product, ML, and infrastructure teams to shape the direction of the platform.</li>
</ul>
Ideally you'd have:
<ul>
<li>5+ years of experience building and deploying machine learning or AI systems for real-world, production use cases.</li>
<li>Strong engineering fundamentals, supported by a Master’s or PhD degree in Computer Science, Machine Learning, AI, or equivalent practical experience..</li>
<li>A deep, hands-on understanding of retrieval systems, RAG, embeddings, vector indexing, and knowledge representation.</li>
<li>Experience with knowledge representation, semantic search, or agentic systems.</li>
<li>Proven proficiency in Python, including writing production-quality, testable, and maintainable code.</li>
<li>Experience scaling or shipping products at high-growth startups.</li>
<li>The ability to operate in ambiguous problem spaces, balancing research-driven approaches with pragmatic product constraints.</li>
<li>Strong communication skills and comfort working in customer-facing or cross-functional environments.</li>
</ul><div>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, Ernst &amp; 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 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 <a href="https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf" rel="noopener noreferrer ugc" target="_blank">Know Your Rights poster</a> 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 <a href="https://scale.com/legal/privacy" target="_blank" rel="noopener noreferrer ugc">privacy policy</a> for additional information.</div>

Machine Learning Engineer, Platform

<h2>About Scale AI</h2>
At Scale AI, we enable governments to adopt AI with confidence. Our mission is not just to deploy the technology, but to ensure it is trusted, understood, and used. We are building a discipline that integrates enablement, change management, and AI fluency to support national transformation efforts.
<h2>The Role</h2>
We are looking for a senior individual contributor to own and scale the learning system that drives GenAI adoption across public sector audiences. This is a builder's role with three mandates: design the learning and define the course portfolio, run the platform that delivers it at national scale, and represent Scale's learning capability in the regional AI conversation.
The throughline is adoption. The catalog you build is not generic literacy. It is purpose-built to move government teams onto Scale's deployed use cases, which makes this role the link between building national AI talent and driving the adoption that talent enables.
This role sits at the top of the adoption funnel. The credibility you build, in the room and in public, is what opens the door to deeper engagements.
<h2>Key Responsibilities</h2>
Own the learning system
<ul>
<li>Lead LMS strategy, selection, and rollout, including certification and badging, as the scalable backbone for national delivery.</li>
<li>Define and own the course catalog: the portfolio of programs and courses that builds AI fluency and, by design, drives adoption of Scale's use cases. Make it discoverable so it actively pulls teams toward the capabilities it supports.</li>
<li>Design and launch flagship programs, starting with expanding our foundational AI literacy course, built modular so they extend across audiences and markets.</li>
<li>Build the measurement layer that ties learning to adoption outcomes, not just completion counts.</li>
</ul>
Scale across geographies
<ul>
<li>Adapt programs across markets with localization as a design principle, not an afterthought: language, institutional context, and cultural norms handled at the build stage.</li>
<li>Stand up repeatable delivery frameworks so programs can scale without rebuilding from scratch in each market.</li>
<li>Partner with delivery vendors and national training bodies where local routing requires it.</li>
</ul>
Teach and represent
<ul>
<li>Deliver high-stakes workshops and briefings to public sector audiences across all levels, from working teams to senior leadership.</li>
<li>Translate technical GenAI concepts into formats that land for non-technical audiences, drawing on a genuine technical background rather than borrowed scripts.</li>
<li>Work with marketing and events to plan speaker series, sessions, and public-facing moments that build Scale's standing in the regional AI-learning conversation.</li>
</ul>
<h2>Who You Are</h2>
<ul>
<li>8+ years in learning and development, instructional design, or enablement, with demonstrated ownership of a learning function, platform, or program at scale. Public sector or government experience is strongly preferred.</li>
<li>Hands-on LMS leadership: you have selected, stood up, or scaled a platform, not just authored content on one.</li>
<li>A technical foundation in GenAI: you can teach the concepts directly and adjust depth to the audience in front of you.</li>
<li>Track record scaling learning across geographies, with localization handled deliberately rather than bolted on.</li>
<li>You think about learning as a driver of adoption, not an end in itself, and design programs to move people toward using what they have learned.</li>
<li>Strong facilitation and presence: confident in front of senior government stakeholders and large mixed audiences. Arabic and English delivery strongly preferred.</li>
<li>A genuine learning enthusiast who pays attention to where the field is heading. Nice to have: an active presence creating AI-learning content on LinkedIn, YouTube, or similar. We read this as a signal that you understand micro-learning and social-native delivery, not as a personal-brand requirement.</li>
<li>Comfortable in fast-paced, ambiguous environments with a strong sense of ownership.</li>
</ul>
<h2>Early Success Looks Like</h2>
First 6 months
<ul>
<li>LMS strategy decided and the foundational program live, with certification or badging in place.</li>
<li>Course catalog defined, with the first programs mapped to live use cases.</li>
<li>Two audience tracks delivered, with satisfaction and early adoption signals captured.</li>
<li>At least one public-facing moment (speaker session, event, or series) delivered with marketing and events.</li>
</ul>
By 12 months
<ul>
<li>A functioning LMS ecosystem delivering across more than one market, with localization proven, not promised.</li>
<li>A course catalog actively driving adoption of Scale's use cases, with measurable pull-through.</li>
<li>Public sector partners recognize Scale's learning work as credible and effective.</li>
<li>A repeatable enablement framework embedded in key engagements, with a measurement layer that connects learning to adoption.</li>
</ul><div>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, Ernst &amp; 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 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 <a href="https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf" rel="noopener noreferrer ugc" target="_blank">Know Your Rights poster</a> 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 <a href="https://scale.com/legal/privacy" target="_blank" rel="noopener noreferrer ugc">privacy policy</a> for additional information.</div>

AI Upskilling Lead

Scale AI is seeking a highly skilled and motivated Mission Software Engineer to join our dynamic Federal Engineering team. As a part of this team, you will play a critical role in supporting Scale’s government customers by scoping and developing onsite solutions. Our scalable, high-performance platform is the foundation for these customer solutions, and your expertise will be instrumental in designing and implementing systems that can handle interactions with existing customer systems to help our products integrate into existing customer workflows.   
<h3>The Role</h3>
<ul>
<li>We are looking for an exceptional Senior Software Engineer to architect and build the foundational data infrastructure that will serve as the brain of a project ecosystem.</li>
<li>We are not looking for someone to stitch together off-the-shelf data frameworks. You will be responsible for designing highly novel data models and processing pipelines capable of handling massive quantities of output data from complex simulations.</li>
<li>At the core of this role is the challenge of building a foundational data ensemble—a unified architecture that seamlessly aggregates, structures, and stages diverse sources of simulation outputs and user inputs. Your systems will manage enormous batch throughput jobs with strict, minimal latency requirements, ensuring that downstream AI systems and language models have the exact context they need to actionably reason over complex, multi-dimensional scenarios.</li>
</ul>
<h3>Key Responsibilities</h3>
<ul>
<li>Architect the Data Ensemble: Design and implement the architecture to ensemble various sources of injected context (deeply structural simulation data, historical game states, and dynamic user inputs) into a unified, highly queryable format optimized for LLM consumption.</li>
<li>Massive Batch Infrastructure: Build highly scalable, resilient data architectures from scratch. You will optimize for moving, transforming, and processing massive quantities of simulation output data via enormous batch jobs, maintaining the minimal latency required for rapid wargame iterations.</li>
<li>Complex Data Modeling: Design sophisticated, highly relational data models that accurately represent massive, state-based simulation environments, making them easily interpretable by machine learning models.</li>
<li>First-Principles Problem Solving: Navigate highly ambiguous product requirements to design custom, ground-up systems where existing open-source or enterprise tools simply cannot handle the structural complexity or scale.</li>
<li>Technical Leadership: Set the technical standard for the data infrastructure team, driving rigorous code quality, system performance, and architectural clarity.</li>
</ul>
<h3>What We’re Looking For</h3>
<ul>
<li>Experience: 5+ years of backend or data infrastructure experience, operating at a Senior, Staff, or Principal level.</li>
<li>Engineering Excellence: Deep, expert-level proficiency in systems languages (e.g., Rust, Go, C++, or highly optimized Python/Java, Spark) and a fundamental understanding of memory management, compute limits, and distributed systems architecture.</li>
<li>High-Throughput / Low-Latency Data: Proven track record of processing massive datasets. You understand how to optimize massive batch jobs and parallel processing across distributed simulation nodes without sacrificing speed.</li>
<li>Information Retrieval &amp; Context Surfacing: You don't need a background in AI agents, but you must be an expert in surfacing the right needle from an ocean of hay to feed decision-making engines. We highly value engineers with backgrounds in:</li>
<ul>
<li>Search &amp; RecSys: Building complex information retrieval systems or recommendation engines.</li>
<li>Gaming / MMOs: Managing complex state, data relationships, and telemetry for massive, highly populated simulations.</li>
<li>High-Frequency Trading (HFT): Processing disparate, massive streams of data for algorithmic decision-making.</li>
</ul>
<li>Mission-Driven: A strong desire to build robust, foundational technology that supports national security and defense modernization.</li>
</ul>
<h3>Nice to Have</h3>
<ul>
<li>
<ul>
<li>Security Clearance: An active Secret or TS/SCI clearance is a nice to have for this role. If you do not have an active clearance, you must be eligible and willing to obtain one.</li>
<li>Experience with LLM context optimization, vector embeddings, or agentic AI frameworks (e.g., advanced RAG architectures).</li>
<li>Deep domain experience working with wargaming data, complex systems modeling, or distributed simulation protocols.</li>
<li>Previous experience in a high-growth, 0-to-1 startup environment.</li>
</ul>
</li>
</ul><div><div><div>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.</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>$186,400—$233,000 USD</div></div></div><div>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, Ernst &amp; 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 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 <a href="https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf" rel="noopener noreferrer ugc" target="_blank">Know Your Rights poster</a> 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 <a href="https://scale.com/legal/privacy" target="_blank" rel="noopener noreferrer ugc">privacy policy</a> for additional information.</div>

Software Engineer, Data Infrastructure

Scale’s rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of:
<ul>
<li>Creating custom AI applications that will impact millions of citizens</li>
<li>Generating high-quality training data for national LLMs</li>
<li>Upskilling and advisory services to spread the impact of AI</li>
</ul>
We are hiring Applied AI Engineers to build custom end-to-end AI applications for our public sector clients using the latest developments in the field of AI. You will also get the opportunity to develop and be part of creating custom datasets, evaluations, and fine-tuning these sophisticated models to maximize performance and apply on real world use cases with global reach. 
At Scale, we’re not just building AI solutions—we are building repeatable blocks to enable the public sector to transform their operations and better serve citizens through cutting-edge technology. If you’re ready to shape the future of AI in the public sector and be a member of our rapidly expanding team, we’d love to hear from you.
You will:
<ul>
<li>Partner with public sector clients to deeply understand their challenges and define AI-driven solutions </li>
<li>Build and deploy end-to-end AI applications into production leveraging latest developments from the biggest AI labs, and open source models</li>
<li>Collaborate with cross-functional teams, including data annotation specialists, to create high-quality training datasets</li>
<li>Design and maintain robust evaluation frameworks to ensure the reliability and effectiveness of AI models</li>
<li>Participate in customer engagements, including occasional travel (approximately two weeks per quarter)</li>
<li>Contribute to the scaling of AI capabilities in the public sector through hands-on knowledge sharing</li>
</ul>
Ideally you’d have:
<ul>
<li>A strong engineering background, with a Bachelor’s degree in Computer Science, Mathematics, or a related quantitative field (or equivalent practical experience)</li>
<li>7+ years of post-graduation engineering experience, with demonstrated proficiency in languages such as Python, TypeScript/JavaScript, Java, or C++.</li>
<li>2+ years of experience applying AI/ML in production environments, such as deploying deep learning solutions, building generative/agentic AI applications or setting up evaluations pipelines</li>
<li>Familiarity with cloud-based machine learning tools and platforms (e.g. AWS, GCP, Azure)</li>
<li>Strong problem-solving skills, with a data-driven approach to iterating on machine learning models and datasets</li>
<li>Excellent written and verbal communication skills to collaborate effectively in a cross-functional environment</li>
</ul>
Nice to haves:
<ul>
<li>Experience working at a startup, particularly as founding engineer</li>
<li>Experience building and deploying large-scale AI solutions</li>
<li>Strong written and verbal communication skills to operate in a cross-functional team environment</li>
<li>Proficiency in Arabic (if focused on language models)</li>
</ul><div>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, Ernst &amp; 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 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 <a href="https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf" rel="noopener noreferrer ugc" target="_blank">Know Your Rights poster</a> 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 <a href="https://scale.com/legal/privacy" target="_blank" rel="noopener noreferrer ugc">privacy policy</a> for additional information.</div>

Applied AI Engineer, Global Public Sector

<h2>Overview</h2>
Scale’s Finance Systems and Automation team is looking for a builder-oriented team member to help design and develop integrations, automations, and AI agents that streamline workflows across Finance, Accounting, People, and Recruiting.
In this role, you will work closely with stakeholders across Finance, Accounting, People Operations, and Recruiting to understand their workflows and build integrations, automations, and agentic workflows that reduce manual effort and accelerate execution across these teams.
You will leverage our internal data infrastructure, system integration tooling, and emerging AI platforms to architect scalable solutions — from traditional system integrations to intelligent agent-driven workflows — that serve as the foundation for long-term operational efficiency.
We’re looking for someone who thrives on connecting systems, automating repetitive processes, and pushing toward more autonomous, AI-assisted operations. You should be comfortable navigating ambiguity, designing solutions that scale, and rigorously validating outcomes end to end.
<h2>What You’ll Do</h2>
<ul>
<li>Design and build agent-driven workflows and automation systems across People Operations, Recruiting, Finance, and Accounting</li>
<li>Identify opportunities to replace manual or rules-based processes with agentic workflows</li>
<li>Partner with stakeholders to translate business processes into scalable, automated solutions</li>
<li>Lead the implementation of end-to-end workflows, from requirements through deployment and validation</li>
<li>Automate candidate-to-employee transitions (e.g., Greenhouse → HRIS → provisioning systems)</li>
<li>Build workflows to manage employee lifecycle events such as onboarding, transfers, and offboarding</li>
<li>Automate approval flows and data synchronization across People, Finance, and Recruiting systems</li>
<li>Support accounting and finance workflows through scalable integrations and automation</li>
<li>Design and implement the underlying integrations and data flows that enable reliable automation and agent behavior</li>
<li>Establish and apply best practices for workflow design, monitoring, error handling, and maintainability</li>
<li>Collaborate with data and engineering teams to ensure automation systems are built on reliable data foundations</li>
<li>Maintain clear documentation of integrations, automations, and agent behavior</li>
<li>Support adoption of automation and AI-enabled workflows by working closely with People Ops, Recruiting, and Finance stakeholders</li>
</ul>
<h2>What We’re Looking For</h2>
<ul>
<li>5+ years of experience building integrations and automation workflows across business systems</li>
<li>Hands-on experience with an iPaaS platform (e.g., Workato, Mulesoft, Boomi, etc.) - Workato Certification is big plus</li>
<li>Experience building or experimenting with AI-powered workflows, LLM APIs, or agent-driven systems</li>
<li>Experience designing workflows across employee lifecycle processes (hire, onboard, manage, offboard)</li>
<li>Experience integrating Finance systems such as NetSuite, Coupa, or similar</li>
<li>Experience working with PayRoll systems such as ADP, Deel, Workday is a plus</li>
<li>Experience working with People and Recruiting systems such as Workday, BambooHR, Greenhouse, or similar is a plus</li>
<li>Strong problem-solving skills and ability to operate independently in a fast-paced environment</li>
<li>Excellent communication skills and experience working cross-functionally with business stakeholders</li>
<li>A builder mindset with a focus on delivering reliable, scalable solutions</li>
<li>Understanding of how to design reliable, production-ready agentic workflows (e.g., validation, retries, guardrails) is a plus</li>
</ul><div><div><div>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.</div><div>The base salary range for this full-time position in the location of San Francisco is:</div><div>$165,600—$207,000 USD</div></div></div><div>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, Ernst &amp; 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 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 <a href="https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf" rel="noopener noreferrer ugc" target="_blank">Know Your Rights poster</a> 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 <a href="https://scale.com/legal/privacy" target="_blank" rel="noopener noreferrer ugc">privacy policy</a> for additional information.</div>

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Machine Learning Engineer, Platform

AI Upskilling Lead

Software Engineer, Data Infrastructure

Applied AI Engineer, Global Public Sector

Finance Systems & Automations Manager

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