Scale AI

Role summary Scale’s Operations Planning Team sits at the intersection of Engagement Management (EM), GenAI Delivery, GTM, and Growth Ops. The Planning TPM reduces friction between customer requirements and delivery by centralizing planning, standardizing reporting, and driving consistent process execution across accounts. As a TPM on Planning you will own program-level planning and systems workstreams that translate demand into reliable production plans, validate staffing, and ensure opportunities move through ingest accurately. This role combines program management, operational rigor, analytics literacy, and strong stakeholder management, with the goal of making account planning predictable, auditable and scalable. This is a role designed to build deep account knowledge: each Planning TPM will ultimately be assigned to support 1–2 priority accounts to develop the context and relationships required to drive lasting operational improvements and more accurate planning and forecasting. What you’ll own (key responsibilities) Demand Forecasting - Ensure project-level customer demand is captured accurately, consistently and at the right level of granularity. - Own day-to-day monitoring and execution of Production Plan and Opportunity Forecast; act quickly on demand changes. - Partner with Supply Ops to review the Production Plan weekly (PP, TCD, historical productive hours) and drive forecasting accuracy and adjustments. - Surface forecast risks and coordinate tactical interventions through the Ops Planning leads. Staffing & Resource Planning - Create/validate staffing requests and communicate staffing changes to Delivery teams, STOs and EMs. - Monitor account-level FTE budgets and employee spend; contribute to cost/benefit analysis of staffing vs. revenue. - Stress-test staffing scenarios to provide early warnings on headcount risks and to inform hiring / reallocation decisions. - Validate staffing tracking accuracy weekly; identify and correct discrepancies in project-level staffing data. Opportunity Forecast & Ingest - Ensure all revenue-generating opportunities are correctly logged in Opportunity Ingest (Linear) and that scoping is consistent. - Act as the owner for opportunities as they move through the ingest workflow — expedite translation of demand signals into the forecast (Airtable / PP / OF). - Run weekly checks to confirm Opportunity Forecast accuracy, and coordinate tactical scoping fixes when needed. Account Intelligence & Systems Enablement - Actively participate in core account meetings (ops, finance, GTM, delivery) as the Ops demand operational lead. - Design, build and maintain scalable planning tools and account-level reporting artifacts (ramp planning sheets, account dashboards, account playbooks). - Standardize and centralize information flow across customer ops pillars (demand forecasting, staffing, opportunity ingest). - Drive systems enablement, process documentation (SOPs), and handoffs that reduce manual work and increase reliability. Compensation packages at Scale for eligible roles include base salary, equity, and benefi

As a member of our operations team, you will be accountable for driving revenue by ensuring that Scale AI meets customer commitments in a timely manner while maintaining the highest quality standards. You will manage our supply operation funnel by building and running solutions, tools, and processes by working with a cross-functional team including Customer Operations, Product Operations, Product Managers, and many others. You will be solving problems no one has solved before, and you will need to be relentless in driving stellar results, running pilots, tests, and experiments. You’ll come up with creative solutions to bottlenecks. The blend of operations and ownership of our most important outcomes make this a unique and exciting role at the heart of Scale’s daily operations.The ideal candidate is scrappy, analytical, empathetic, outcome focused, and above all someone who drives and inspires results. You will: - Build and drive some of our most critical operational processes - Own the day-to-day delivery of customer commitments - Create an effective feedback loop between the front line, product, strategy, and customers - Collaborate with stakeholders to improve processes for new and existing customers Ideally you'd have: - Advanced English skills - Industry experience (+2) in an operational role and/or a top-tier consulting firm - An undergraduate degree with an analytics heavy major (e.g., Engineering or Economics) and/or a graduate degree in Engineering, Economics, or Business - An action-oriented mindset that balances creative problem solving with the scrappiness to ultimately deliver results - Analytical, planning, and process improvement capability - Experience with reading SQL, or have demonstrated analytical skills 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 & 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 Depart

This posting is for candidates (interested in research intern roles) who attended ICML '26 and met with a member of our team. It was great meeting you at ICML 2026! Whether we chatted at our booth, during a poster session, or one of the workshops – we’re thrilled to connect with people who are passionate about pushing the boundaries of machine learning and AI. At Scale AI, our mission is to develop reliable AI systems for the world's most important decisions. For 10 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. We’re currently growing our team across multiple roles. If you're excited about the challenges we’re working on, drop your info here, and we’ll make sure someone from our team reaches out if there's a good fit with one of our open roles. Even if the timing isn’t quite right, we’d love to stay in touch. We look forward to continuing the conversation! In the meantime, you can read more about our research at https://labs.scale.com/ . https://scale.com/careers/university 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 & 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 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’ ne

Scale AI is seeking a highly skilled and motivated Software Engineer, Frontier AI Infrastructure to join our dynamic Public Sector Engineering team. As a part of this team, you will own the model inference layer - enabling state of the art models, debugging the latest AI tools, managing networking, debugging latency, and tracking pricing/usage metrics for AI models. You will lead technical discussions on the frontlines with cloud vendors and customers to deliver on critical contracts and to debug platform issues. You will also work upstream with Product to understand features before they break, moving us from "infra-only debugging" to proactive integration testing. You will: - Design and implement secure scalable backend systems for Public Sector customers, leveraging Scale's modern and cloud-native AI infrastructure. - Own services or systems and define their long-term health goals, while also improving the health of surrounding components - Re-architect the stack to run in compliant or restrictive environments. This requires designing swappable components (auth, storage, logging) to meet government/security mandates without breaking the product. - You will work with Product to build integration tests that catch issues early, shifting the focus from "infra-only debugging" to preventing failures upstream. - Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions. - Contribute to the platform roadmap and product strategy for Scale AI's Public Sector business, playing a key role in shaping the future direction of our offerings. Must have: - At least an active secret clearance and the ability & willingness to up level to TS/SCI with CI Poly. This is a requirement and candidates will not be considered who do not hold at least a secret clearance Ideally you'd have: - Full Stack Development: Proficiency in both front-end and back-end development, including experience with modern web development frameworks, programming languages, and databases. Experience with developing & delivering software to air-gapped & isolated environments is a plus. - Cloud-Native Technologies: Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is desired. Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. - Security Focused: Experience with Federal Compliance frameworks, and requirements(e.g, Cloud SRG, FedRAMP, STIG Benchmarks, etc). Experience developing software & technical solutions that meet strict security & regulatory compliance requirements. - Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles. - Collaboration and Communication: Excellent interpersonal and communication skills to effectively collaborate with cross-functional teams, stakeholders, and customers. Ability to clearly articulate technical concepts to non-technical audiences and foster a collaborative work environment. - Adaptability and Learning Agility: Willingness to embrace new technologies, learn new skills, and adapt to evolving project requirements. Ability to quickly grasp and apply new concepts and stay up-to-date with emerging trends

This posting is for candidates (interested in research intern roles) who attended ICML '26 and met with a member of our team. It was great meeting you at ICML 2026! Whether we chatted at our booth, during a poster session, or one of the workshops – we’re thrilled to connect with people who are passionate about pushing the boundaries of machine learning and AI. At Scale AI, our mission is to develop reliable AI systems for the world's most important decisions. For 10 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. We’re currently growing our team across multiple roles. If you're excited about the challenges we’re working on, drop your info here, and we’ll make sure someone from our team reaches out if there's a good fit with one of our open roles. Even if the timing isn’t quite right, we’d love to stay in touch. We look forward to continuing the conversation! In the meantime, you can read more about our research at https://labs.scale.com/ . https://scale.com/careers/university 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 & 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 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’ ne

About the role: - We are looking for a talented and experienced University Recruiter, Contractor based in San Francisco to join our team and participate in the hiring process from beginning to end. You’ll be working directly with our hiring partners, recruiters and candidates to create a personal and positive recruiting experience. You will: - Support Scale’s University Recruiting strategy: assist with the hiring process for our Internship and New Grad programs. - Manage the full-cycle recruiting strategy and process including, but not limited to, sourcing, screening, interview process, closing and more. - Understand what makes a great profile for our University roles and drive strategic sourcing and candidate engagement strategies to build strong and diverse pools of candidates. - Cultivate relationships with students across partnered universities and develop positive relationships with faculty, staff, and student organizations as part of a well-researched recruiting strategy. - Collaborate closely with various leaders across the organization in understanding and meeting their intern and new grad hiring needs. - Work from the San Francisco office 3x per week. You have: - 4+ years of full-cycle university recruiting experience in a fast-paced, high-growth environment, managing high-volume hiring. - Experience in managing/leading all aspects of recruiting strategy for hard-to-fill, competitive positions. - Passionate about campus recruiting and strong believer in bringing early career talent to Scale. - Excellent verbal and written communication skills. - Excellent negotiation tactics, and market knowledge. - You have the ability to work with multiple departments, including remote teams, and build strong personal networks across our complex organization. - Proven ability in attracting and sourcing both passive and active candidates (aka future graduates) across Bachelors, Masters, and PhD programs. - Utilizing data to perform analysis, garner insights, and set goals. - A flexible, adaptive approach: you can shift to changing priorities. - Located in the Bay Area, can commute 3x per week to the San Francisco office. Ideally you have: - SWE & ML recruiting experience at all levels including, Bachelors, Masters and PhDs. - Experience using Greenhouse ATS and/or Gem. - Ability to thrive in a fast-paced, dynamic startup environment. For pay transparency purposes, the hourly rate for this contract position in San Francisco is $70-$75 per hour. 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 <em&g

As an early member of our operations team, you'll be accountable for driving revenue by ensuring that Scale AI meets customer commitments in a timely manner while maintaining the highest quality standards. You will manage our supply operation funnel by building and running solutions, tools, and processes by working with a cross-functional team including Customer Operations, Product Operations, Product Managers, and many others. You will be solving problems no one has solved before, and you will need to be relentless in driving stellar results, running pilots, tests, and experiments. You’ll come up with creative solutions to bottlenecks. The blend of operations and ownership of our most important outcomes make this a unique and exciting role at the heart of Scale’s daily operations. The ideal candidate is scrappy, analytical, empathetic, outcome focused, and above all someone who drives and inspires results. Please note this is a contractor role with a fixed rate salary of $11,400 USD annually. You will: - Build and drive some of our most critical operational processes - Own the day-to-day delivery of customer commitments - Create an effective feedback loop between the front line, product, strategy, and customers - Collaborate with stakeholders to improve processes for new and existing customers Ideally you’d have: - Advanced English skills - At least three months of industry experience in an operational role and/or a top-tier consulting firm - An undergraduate degree with an analytics heavy major (e.g., Engineering or Economics) and/or a graduate degree in Engineering, Economics, or Business - An action-oriented mindset that balances creative problem solving with the scrappiness to ultimately deliver results - Analytical, planning, and process improvement capability Nice to have: - Experience with reading SQL, or have demonstrated analytical skills 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 & 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. &lt

The Role As Scale expands, our Recruiting team plays a critical role in meeting ambitious hiring goals. We’re looking for a GTM Recruiter to partner with our Sales and Operations teams. This is a high-impact role where you’ll help shape our hiring strategies, build diverse pipelines, and deliver a world-class candidate experience. What You’ll Do - Act as a strategic partner to GTM and AI leaders, developing a deep understanding of their teams, roles, and priorities. - Lead full-cycle recruiting: from outreach and sourcing through offer negotiation and close. - Build strong, trust-based relationships with hiring managers and cross-functional partners. - Use data and metrics to inform decisions, optimize processes, and influence stakeholders. - Collaborate with recruiting coordinators and sourcers to ensure a transparent, consistent, and candidate-first interview experience. - Champion inclusive hiring practices to build diverse, high-performing teams. - Educate and guide hiring teams on interview best practices and market insights. - Serve as a skilled problem solver, negotiator, and coach throughout the hiring process. What We’re Looking For - 4+ years of full-cycle recruiting experience in high-growth, technical environments. - Proven success hiring for GTM, sales, ops, and/or AI/ML talent. - Strong ability to use data and insights to influence leaders and drive decisions. - Excellent written and verbal communication skills, with the ability to distill complex information. - Skilled in negotiation and market positioning, with up-to-date knowledge of technical talent markets. - Strong organizational and stakeholder management skills, including Director+ level partnership. Location - This a hybrid role is based in our San Francisco office (3 days per week in office) This is a Contract role, the pay target for this position is $75 per hour. This position is tied to our San Francisco office and requires coming into the office 3 times a week. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. 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 & 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 regardle

We are seeking a highly skilled Infrastructure Security Engineer to join our team. This role is integral to ensuring the security and integrity of our platform. You will be responsible for securing large cloud environments, orchestrating and securing various compute clusters, and reviewing infrastructure as code. Your expertise in cloud security, infrastructure automation, and advanced security practices will be essential in maintaining and enhancing our security posture. You will: - Secure infrastructure across large cloud hosting providers (e.g., AWS, Azure, GCP). - Implement and maintain robust security configurations and policies for cloud environments. - Conduct regular security assessments and audits of infrastructure to identify vulnerabilities and areas for improvement. - Develop and enforce security best practices for infrastructure automation and orchestration. - Collaborate with DeveloperExperience, IT, and product teams to integrate security into all stages of the infrastructure lifecycle. - Review and secure infrastructure as code (e.g., Terraform, CloudFormation). - Educate and mentor team members on infrastructure security best practices and emerging threats. Ideally, you’d have: - Proven experience as a Security Engineer with a focus on product security. - Proficiency in NodeJS, TypeScript, and Kubernetes. - Experience with orchestrating and securing GPU clusters. - Proficiency in infrastructure as code tools such as Terraform and CloudFormation. - Excellent communication skills, with the ability to clearly explain technical concepts and their implications to both technical and non-technical stakeholders. - Demonstrated ability to influence security strategies and drive improvements within an organization. - Relevant security certifications (e.g., AWS Certified Security Specialty, Certified Cloud Security Professional) are a plus. - Experience in a senior or lead security role is preferred. 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. 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 class="pay-range

Scale AI is seeking a highly skilled and motivated AI Data 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. You will: - Be open to >50% onsite work in a secured space. - Collaborate with cross-functional teams to define and execute the vision for data pipelines and agents. - Implement end-to-end data integrations, syncing customer’s data to Scale’s platform and back. - Deploy and maintain Scale software at customer sites. - Develop customer requested features and work closely with them to ensure that they win customer love. - Build robust and reliable backend systems that can serve as standalone products, empowering customers to accelerate their own AI ambitions. - Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions. - This role will require at minimum an active Secret clearance and willingness to obtain a TS/SCI security clearance. Ideally you have: - Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles - Track record of success as a hybrid customer facing engineer, forward deployed software engineer, and ability to quickly adapt to different roles. - Prior experience developing with Python - Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus - Linux experience: Understanding of shell scripting, operating systems, etc - Networking experience: Understanding of networking technologies, configuration (ports, protocols, etc) is a plus. - Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles 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 heal

Scale is looking for an Operations Program Manager (OPM) to drive system-level improvements, operational performance, and structural reliability across the region. In this role, you will act as both a systems owner and escalation authority—ensuring support workflows are scalable, efficient, and aligned with global standards while adapting to local operational needs. As our operations continue to expand, this role will be critical in identifying root causes, implementing durable fixes, and driving measurable improvements in key performance metrics. You will serve as the bridge between frontline execution and system design, ensuring consistency, stability, and continuous improvement across regional operations. You will be part of a highly collaborative and impact-driven team, working closely with Team Leads, SMEs, Product, Engineering, and Operations stakeholders. This role is ideal for someone who thrives in ambiguity, enjoys solving complex operational challenges, and is relentless in driving high-quality outcomes at scale. You will: - Identify recurring issue patterns and structural inefficiencies across the region - Lead retrospectives on operational breakdowns and implement durable, system-level fixes - Act as the escalation partner for complex and high-risk regional cases - Define and drive regional KPI improvements across SLA, CSAT, backlog health, and escalation rates - Track and measure the impact of operational changes and interventions - Influence SOPs, macros, and documentation to improve clarity and reduce ambiguity - Partner with Enablement to build scalable regional training programs - Act as a regional training lead to reinforce workflows, policies, and quality standards - Collaborate with Product, Engineering, and Operations to drive tooling and workflow improvements - Translate frontline insights into clear, actionable requirements for system enhancements - Identify risks within workflows and implement safeguards to improve consistency and reliability - Strengthen auditability and operational defensibility across the region Ideally you’d have: - Experience in operations, program management, or process improvement roles in high-volume environments - Strong analytical and problem-solving skills with a systems-thinking mindset - Experience leading cross-functional initiatives and driving measurable outcomes - Ability to identify root causes and implement scalable, long-term solutions - Strong communication skills across technical and non-technical stakeholders - Experience working with KPIs such as SLA, CSAT, backlog, and escalation metrics Nice to haves: - Experience in support operations, trust & safety, or platform operations - Familiarity with workflow tools (e.g., Zendesk or similar systems) - Experience building SOPs, training programs, or documentation frameworks - <p&gt

Subject Matter Expert Role Description Engagement Type: Part-time (Hourly) — Work as many or as few hours as you'd like, with the flexibility to set your own schedule based on your availability. Overview The Subject Matter Expert is a specialized role focused exclusively on quality evaluation and standards definition within assigned projects. This role is designed for subject-matter experts who provide high-value insights through audits, quality frameworks, and performance analysis. The Subject Matter Expert does not engage in contributor management, real-time support, or operational task coordination. Instead, the role centers on assessing output quality, identifying systemic issues, and recommending improvements to ensure high standards are consistently met. Key Responsibilities Quality Audits & Evaluation - Conduct structured audits of task outputs to evaluate accuracy, consistency, and adherence to project guidelines. - Apply domain expertise to assess nuanced or complex work requiring specialized knowledge. - Identify patterns of quality issues and flag systemic gaps impacting output standards. Quality Standards & Benchmarking - Define and refine quality benchmarks, scoring rubrics, and evaluation criteria based on project needs. - Contribute to the development of gold standards and reference materials for high-quality outputs. - Ensure quality frameworks reflect domain-specific rigor where applicable. Analysis & Insights - Analyze audit results to generate actionable insights on quality trends and performance gaps. - Provide structured reports with clear recommendations to improve overall output quality. - Partner with internal stakeholders to calibrate on quality expectations and scoring consistency. Process Improvement (Quality-Focused) - Recommend improvements to workflows, guidelines, and evaluation processes based on audit findings. - Support calibration efforts to ensure alignment across reviewers and quality stakeholders. - Contribute to continuous improvement initiatives strictly related to quality outcomes. Out of Scope (Role Boundaries) - No direct interaction with contributors (e.g., no office hours, Slack support, or real-time guidance). - No task assignment, queue management, or operational oversight. - No people management or performance management responsibilities. Qualifications - Deep domain expertise in a specialized field (e.g., medicine, law, engineering, etc.). - Strong analytical skills with the ability to evaluate complex outputs against defined standards. - Experience in quality assurance, auditing, or evaluation frameworks is preferred. - Ability to produce clear, structured, and actionable feedback. - High attention to detail and commitment to accuracy and consistency. Engagement Expectations - Hourly, project-based w

This role begins at Tier 0, where agents ramp up to Tier 1 readiness over their first few weeks. The Tier 0 Support Agent independently handles a broad range of contributor support issues, including moderately complex and nuanced cases requiring sound judgment, investigation, and clear communication. This role works cross-functionally to ensure contributors receive accurate, timely, and thoughtful support while helping identify opportunities to improve workflows and documentation. This role is well-suited for experienced support professionals who are comfortable operating autonomously and navigating ambiguity in a fast-paced environment. You Will: - Resolve routine and moderately complex contributor inquiries across email and chat support channels using established workflows and best judgment. - Communicate clearly, empathetically, and professionally. - Document investigations, actions taken, and resolutions thoroughly in Zendesk or equivalent systems. - Identify issues outside the tier’s scope and escalate with clear context and documentation. - Contribute feedback on workflows, macros, or documentation to improve efficiency and contributor experience. - Stay current on relevant process and product updates through the provided resources. Ideally You'd Have: - Prior experience in high-volume customer support, platform support, or similar. - Experience working remotely, with demonstrated ability to manage work independently and prioritize tasks without direct supervision. - Strong written and verbal English communication skills, with the ability to communicate clearly and professionally. - Familiarity with customer service SaaS tools, Slack, and Google Workspace. Working Model & Tools: - This is an independent contractor role, responsible for providing agreed-upon services and deliverables for an estimated six-month term. Continued engagement or potential conversion to full-time employment may be considered at the company’s discretion, based on performance and business needs. - Company equipment will be provided during the engagement. - Collaborates asynchronously with internal teams as needed. 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 & 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 inc

The Strategic Sales Development Representative, Robotics & Automotive will report to the Director of GTM, and will be responsible for identifying, prospecting, and qualifying new sales opportunities. In this role, you will be responsible for wallet share and driving revenue growth for the Physical AI business. This role requires significant ownership in a fast-paced environment. In this role, you will: - Own and drive overall relationship with Scale’s robotics and automotive prospects; act as a trusted advisor to effectively and confidently communicate the value of Scale offerings to potential customers - Own top-of-funnel and mid-funnel motion to generate qualified pipeline and revenue through outbound prospecting, lead qualification, and relationship management - Coordinate networking events such as hackathons, webinars, meetups, conferences, social events, and other events to gain visibility and build credibility within the robotics and automotive community - Ability to write highly tailored and personalized cold outbound messaging to book meetings with target personas - Take on ad-hoc strategic projects end-to-end — own the initial research, develop a proposed approach, incorporate feedback, and drive through to execution and handoff - Thrive in a multi-tasking environment with the ability to adjust priorities quickly - Consistently share knowledge of industry trends and solutions - Collaborate with GTM, Operations, and Technical teams to keep sales collateral up to date Ideally, you will have: - Bachelor’s degree or equivalent work experience - 1-3 years of sales experience in a fast-paced software or technical environment - Ability to understand Scale’s product offerings and operations - Ability to communicate deeply technical solutions to business and technical audiences - Passion for what you do, and the creativity and willingness to think outside of the box - Excellent writing and communication skills - Strong sales process and systems skills (Slack, Salesforce, Outreach, Clari) - Demonstrated ability to develop strong consultative relationships with external partners and internal cross-functional teams at all levels - Experience developing and communicating executive-level materials - Strong project management skills, high detail orientation, and exceptional organizational skills - Technical background highly valued Sales Commission: This role is eligible to earn commissions. 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

The AI Development Strategist will report directly to vertical sales leadership and will play a critical role in generating and qualifying pipeline across Scale AI’s enterprise business. This is an education-focused, customer-facing role responsible for owning early-stage enterprise opportunities through Stage 2 qualification while helping prospective customers understand Scale AI’s capabilities, AI infrastructure offerings, and output methodology. This role is designed as a bridge into strategic enterprise AI sales and is ideal for experienced outbound or mid-market sales professionals looking to transition into enterprise AI sales. Unlike traditional SDR roles, this position is structured as a closing-capable role with meaningful ownership over customer engagement, qualification strategy, and pipeline generation. You will partner closely with Enterprise Account Executives and cross-functional teams to identify high-potential opportunities, educate customers on AI use cases, and ensure strong opportunity transition into active enterprise sales cycles. In this role, you will: - Own outbound prospecting and customer engagement through Stage 2 qualification - Drive customer outreach and education during the M1 phase of the sales process - Build trust with prospective customers and teach them about Scale AI’s capabilities, AI workflows, and output methodology - Lead discovery conversations to identify and qualify high-potential enterprise opportunities - Develop key narratives, content, and research through Stage 2 qualification - Lead cross-functional coordination, including with Solutions Engineering, Marketing, and GTM Strategy - Partner closely with Account Executives to transition qualified opportunities into active deal cycles - Develop a strong understanding of enterprise AI deployment patterns and customer use cases - Maintain strong CRM hygiene and pipeline visibility using Salesforce and related sales tools - Operate effectively within a verticalized sales organization across industries including Consumer, Financial and Professional Services, and Healthcare & Life Sciences (HCLS) - Thrive in a fast-moving environment while balancing customer education, outbound activity, and pipeline quality Ideally you will have: - 1-2 years of experience as an account executive OR 4+ years of experience in outbound sales, business development, SDR, BDR, or closing roles - Experience selling SaaS, infrastructure, data, or technical products preferred - Demonstrated ability to generate qualified pipeline and exceed activity or revenue targets - Strong consultative communication and discovery skills - Ability to educate customers on complex technical concepts and workflows - Strong intellectual curiosity and willingness to develop expertise in AI fundamentals and enterprise AI workflows - Experience working in fast-paced, high-growth environments - Excellent writing and verbal communication skills - Strong sales process and systems skills (Salesforce, Outreach, Slack, Clari preferred) - Demonstrated ability to collaborate effectively with cross-functional teams and sales leadership - Strong organizational skills, attention to detail, and ability to manage multiple opportunities simultaneously - Technical curiosity or familiarity with AI, machine learning, or data infrastructure highly valued <div class

Scale AI sits at the forefront of enabling machine learning for advanced robotics systems. As an Operations Program Manager focused on data creation for robotics models, you will design and execute the solutions, tools, and processes that power high-quality training data at scale. You’ll ensure precise, timely delivery of datasets that drive perception, manipulation, and autonomous decision-making in robotic platforms. With rapid growth, new customer onboarding, and continual product innovation, we face both strategic questions and hands-on operational challenges—your contributions will be key to solving them. You will be part of a highly motivated team of operators and collaborators who will ensure steady delivery and customer satisfaction. You are relentless in driving stellar results, running pilots, tests, and experiments, then handing over new designs to a team of skilled operators. The blend of operations, process improvement, and cross-functional leadership make this a unique and exciting role that will provide an opportunity to work with multiple teams (e.g., Engineering, Marketing, Operations, Analytics, and several others) across the company and around the globe. You will: - Drive some of our most critical operational processes - Improve existing processes and tools globally - Collaborate with stakeholders to improve processes for new and existing customers - Create an effective feedback loop between the frontline, product, strategy, and customers - Build, maintain, and regularly communicate detailed reporting for other leaders across the company who will use your team's data to inform their own operations and strategy Ideally you'd have: - Industry experience in supply chain, finance planning, in an operational role and/or in a top tier consulting firm - An undergraduate degree from a top university in an analytics heavy major (e.g., Engineering or Economics) and/or a graduate degree from a top university in Engineering, Economics, or Business - Experience leading day to day activities and improving processes - An action oriented mindset that balances creative problem solving with the desire to run through walls to deliver outcomes - Analytical, planning, and process improvement capability Nice to haves: - Experience with reading SQL and/or another database language - Experience with Python and/or Mode Notepad scripting 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 & 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 ab

Scale's Physical AI business unit is dedicated to solving the data bottleneck across Robotics, Autonomous Vehicles, and Computer Vision. This position will be a key contributor in conducting applied research in Physical AI and developing ML pipelines for processing, training, and fine-tuning on data collected by Scale, with a specific focus on optimizing algorithms and pipelines to run efficiently on GPUs in the cloud. In this role, you will have the opportunity to advance research, shape Scale’s offerings, and expand the frontier of data and model evaluation for Physical AI. The Role As an ML Systems Engineer on the Physical AI team, you will design and build platforms for scalable, reliable, and efficient serving of foundation models specifically tailored for physical agents. Our platform powers cutting-edge research and production systems, supporting both internal research discovery and external customer use cases for autonomous vehicles and robotics. The ideal candidate combines strong ML fundamentals with deep expertise in backend system design. You’ll work in a highly collaborative environment, bridging the gap between Physical AI research and production engineering to accelerate innovation across the company. You Will: - Build & Scale: Maintain fault-tolerant, high-performance systems for serving robotics-related models and foundation models at scale, ensuring low latency for real-time applications. - Platform Development: Build an internal platform to empower model capability discovery, enabling faster iteration cycles for research teams working on robotics. - Collaborate: Work closely with Robotics researchers and Computer Vision engineers to integrate and optimize models for production and research environments. - Design Excellence: Conduct architecture and design reviews to uphold best practices in system scalability, reliability, and security. - Observability: Develop monitoring and observability solutions to ensure system health and real-time performance tracking of model inference. - Lead: Own projects end-to-end, from requirements gathering to implementation, in a fast-paced, cross-functional environment. Ideally, You’d Have: - Experience: 4+ years of experience building large-scale, high-performance backend systems, with deep experience in machine learning infrastructure. - Algorithm Optimization: Deep experience optimizing computer vision and other machine learning algorithms for cloud environments, including GPU-level algorithm optimizations (e.g., CUDA, kernel tuning). - Programming: Strong skills in one or more systems-level languages (e.g., Python, Go, Rust, C++). - Systems Fundamentals: Deep understanding of serving and routing fundamentals (e.g., rate limiting, load balancing, compute budgets, concurrency) for data-intensive applications. - Infrastructure: Experience with containers (Docker), orchestration (Kubernetes), and cloud providers (AWS/GCP). - IaC: Familiarity with infrastructure as code (e.g., Terraform). - Mindset: Proven ability to solve complex problems and work independently in fast-moving environments. Nice to Haves: - Exposure to Vision-Language-Action (VLA) models. - Knowledge of high-performance video processing (e.g., FFmpeg, NVDEC/NVENC) or 3D data handling (point clouds). - Familiarity with robotics middleware (e.g., ROS/ROS2) or AV data formats.

Scale is looking for a Support Systems & Routing Specialist to own and optimize the core infrastructure powering our contributor support operations. In this role, you will be responsible for configuring and maintaining systems like Zendesk, designing routing logic, and building scalable frameworks that ensure tickets are assigned accurately and efficiently. As our operations continue to grow, this role will play a critical part in ensuring our support systems scale seamlessly with increasing volume and complexity. You will partner closely with Support Ops, Product, Engineering, and cross-functional stakeholders to translate operational needs into robust system configurations. You will be part of a highly detail-oriented and systems-driven team, where your work directly impacts operational efficiency and contributor experience. This role is ideal for someone who thrives in building and improving systems that others rely on daily, and who enjoys solving complex operational challenges at scale. You will: - Own end-to-end Zendesk configuration, including ticket forms, fields, macros, triggers, automations, SLAs, and views - Design and maintain routing logic to ensure accurate ticket distribution across skills, queues, and teams - Build and manage the support agent skills framework (skills, tiers, certifications, queue structures) - Monitor and optimize queue health, load balancing, and ticket assignment accuracy - Configure and maintain integrations across support tools and reporting systems - Troubleshoot system issues and partner with Engineering or vendors when needed - Collaborate with Support Ops, T&S, TPMs, and Product to implement and improve workflows - Document system configurations, workflows, and best practices clearly - Provide training and guidance to stakeholders on system usage and routing logic Ideally you’d have: - Experience administering Zendesk or similar support CRM systems - Experience designing routing logic or managing skills-based systems in high-volume environments - Strong systems-thinking and analytical mindset - High attention to detail with the ability to identify risks and inconsistencies - Experience working cross-functionally with both technical and non-technical stakeholders <li data-section-id="bbj2b4" data-start=

Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including frontier model training, enterprise adoption, defense applications, and autonomous vehicles. Our mission is to develop reliable AI systems for the world's most important decisions. We’re looking for a Senior AI Product Manager to own and scale Scale’s SEAL Leaderboard portfolio. In this role, you will define the strategy, roadmap, and operational excellence of Scale’s evaluation products, benchmarks, and public/private leaderboards.

Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including frontier model training, enterprise adoption, defense applications, and autonomous vehicles. Our mission is to develop reliable AI systems for the world's most important decisions We're looking for a Senior AI Product Manager to build and own Scale's Cybersecurity portfolio — the data, environments, and evaluations frontier labs use to train and measure security capability in their models. This is a build role: you will define the strategy and standards for a product line that does not exist yet.

Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including frontier model training, enterprise adoption, defense applications, and autonomous vehicles. Our mission is to develop reliable AI systems for the world's most important decisions. Coding is one of Scale's strongest and fastest-moving domains. We built SWE-Bench Pro , a contamination-resistant benchmark of 1,865 long-horizon software engineering tasks across 41 repositories — including a first-of-its-kind private set drawn from proprietary startup codebases — which cut frontier model scores from over 70% on SWE-Bench Verified to roughly 23%, and became a reference point for how the industry measures coding agents.

As the leading data and evaluation partner for frontier AI companies, Scale is dedicated to advancing the progress of generative AI, with a focus around frontier evaluations, the science of data around posttraining, agentic applications, trustworthy agents oversight framework and beyond. Our Research teams work with the industry’s leading AI labs to provide high quality data and accelerate progress in GenAI research. Additionally, Scale plays an integral role in understanding the capabilities and safeguarding of LLMs.

Scale AI is at the forefront of the AI revolution, helping the U.S. government unlock the potential of AI across national security missions. We’re building enterprise-grade computer vision solutions and delivering them into operational use cases that matter. We’re hiring a technical program manager (TPM) to lead and coordinate delivery of computer vision workflows for a national security customer. As a TPM on our public sector delivery team, you will own or support a customer account plan, triage customer technical issues, use data and analytics to align internal resources around Scale’s hardest problems, and drive the creation of tools that add direct value to Scale’s Public Sector customers. You will: - Manage customer relationships from the executive to the end user - Work alongside customers to scope computer vision use cases that Scale’s engineering team will build and you will ultimately refine - Lead or support a cross-functional project team to deliver on and exceed the customer's AI/ML objectives - Lead with a “whatever-it-takes” mentality, proactively identifying customer needs and operator pain points to ensure customer success - Learn technical concepts and tools to necessary depth, leveraging that expertise to create solutions from scratch or drastically improve existing solutions - Partner with engineering, operations, and other public sector teams to build and deliver AI systems tailored to unique government use cases in the computer vision domain We have a diverse team with a variety of skill sets, many have: - A technical background (education or professional experience with computer science, economics, statistics, engineering) - A proven track record in B2B client-facing roles and expanding client relationships - Prior experience owning the technical implementation of solutions to the government Must haves: - An active TS/SCI clearance - 3+ years of work experience succeeding in stakeholder management or a customer-facing role delivering enterprise-scale applications / solutions - A deep understanding of ML operations process - A track record of structured, analytics-driven problem solving - Excellent verbal and written communication skills - Willingness to be onsite with customers up to 4 days per week in the DMV area and / or prepared to travel a minimum of 25% 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 a

At Scale AI, we’re not just building AI tools—we’re pioneering the next era of enterprise AI. As businesses race to harness the power of Generative AI, Scale is at the forefront, delivering cutting-edge solutions that transform workflows, automate complex processes, and drive unparalleled efficiency for the largest enterprises. Our Scale Generative AI Platform (SGP) provides foundational services and APIs, enabling businesses to seamlessly integrate AI into their operations at production scale. We’re looking for a Backend Engineer to help bring large-scale GenAI systems to production. In this role, you’ll build the core infrastructure that powers AI products for some of the world’s largest enterprises—designing scalable APIs, distributed data systems, and robust deployment pipelines that enable production-grade reliability and performance. This is a rare opportunity to be at the center of the GenAI revolution, solving hard backend and infrastructure challenges that make AI truly work at enterprise scale. If you're excited about shaping how AI systems are deployed and scaled in the real world, we want to hear from you. At Scale, we don’t just follow AI advancements — we lead them. Backed by deep expertise in data, infrastructure, and model deployment, we are uniquely positioned to solve the hardest problems in AI adoption. Join us in shaping the future of enterprise AI, where your work will directly impact how businesses operate, innovate, and grow in the age of GenAI. You Will: - Design, build, and scale backend systems that power enterprise GenAI products, focusing on reliability, performance, and deployment across both Scale’s and customers’ infrastructure. - Develop core services and APIs that integrate AI models and enterprise data sources securely and efficiently, enabling production-scale AI adoption. - Architect scalable distributed systems for data processing, inference, and orchestration of large-scale GenAI workloads. - Optimize backend performance for latency, throughput, and cost—ensuring AI applications can operate at enterprise scale across hybrid and multi-cloud environments. - Manage and evolve cloud infrastructure (AWS, Azure, or GCP), driving automation, observability, and security for large-scale AI deployments. - Collaborate with ML and product teams to bring cutting-edge GenAI models into production through efficient APIs, model serving systems, and evaluation frameworks. - Continuously improve reliability and scalability , applying strong engineering practices to make AI systems robust, maintainable, and enterprise-ready. Ideally, You Have: - 4+ years of experience developing large-scale backend or infrastructure systems, with a strong emphasis on distributed services, reliability, and scalability. - Proficiency in Python or TypeScript , with experience designing high-performance APIs and backend architectures using frameworks such as FastAPI, Flask, Express, or NestJS. - Deep familiarity with cloud infrastructure (AWS and Azure preferred), including container orchestration (Kubernetes, Docker) and Infrastructure-as-Code tools like Terraform. - Experience managing data systems such as relational and NoSQL databases (PostgreSQL, Dyna

As a member of our Frontier Tech Consultant team, you will play a critical role in advancing cutting-edge AI innovations by conducting high-impact experiments and ensuring seamless execution at the highest quality standards. Your work will directly contribute to Scale AI’s growth, shaping the future of artificial intelligence. In this role, you will be working on various types of projects, including but not limited to: research experiments, dataset generation, data quality improvements, and in-depth technical analysis. You will tackle complex, technical and operational challenges while collaborating closely with Scale’s ML research scientists and SPM team. The ideal candidate is analytical, detail-oriented, and results-driven, with strong problem-solving abilities and excellent communication skills. We are looking for someone who thrives in a fast-paced environment, is proactive in overcoming challenges, and is committed to delivering exceptional outcomes. If you are eager to contribute to the forefront of AI innovation, we encourage you to apply. You will be responsible for: - Design and execute research experiments - Build and evaluate frontier LLM datasets - Develop training and testing material for frontier pipelines - Improve quality of existing and new products 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 Python, GPU, AWS, API, LLM, ML, and 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, including CPT/OPT or employ corp-to-corp . LI-Onsite 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 & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding o

As a Software Engineer on the ML Infrastructure team, you will design and build platforms for scalable, reliable, and efficient serving of LLMs. Our platform powers cutting-edge research and production systems, supporting both internal and external use cases across various environments. The ideal candidate combines strong ML fundamentals with deep expertise in backend system design. You’ll work in a highly collaborative environment, bridging research and engineering to deliver seamless experiences to our customers and accelerate innovation across the company. You will: - Build and maintain fault-tolerant, high-performance systems for serving LLMs workloads at scale. - Build an internal platform to empower LLM capability discovery. - Collaborate with researchers and engineers to integrate and optimize models for production and research use cases. - Conduct architecture and design reviews to uphold best practices in system design and scalability. - Develop monitoring and observability solutions to ensure system health and performance. - Lead projects end-to-end, from requirements gathering to implementation, in a cross-functional environment. Ideally you'd have: - 4+ years of experience building large-scale, high-performance backend systems. - Strong programming skills in one or more languages (e.g., Python, Go, Rust, C++). - Experience with LLM serving and routing fundamentals (e.g. rate limiting, token streaming, load balancing, budgets, etc.) - Experience with LLM capabilities and concepts such as reasoning, tool calling, prompt templates, etc. - Experience with containers and orchestration tools (e.g., Docker, Kubernetes). - Familiarity with cloud infrastructure (AWS, GCP) and infrastructure as code (e.g., Terraform). - Proven ability to solve complex problems and work independently in fast-moving environments. Nice to haves: - Experience with modern LLM serving frameworks such as vLLM, SGLang, TensorRT-LLM, or text-generation-inference. 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. 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: $180,000 -</span&

As Scale's product portfolio and customer base expand, we are seeking skilled DevOps Engineers, Public Sector to be at the forefront of building out and enhancing our CI/CD pipelines. You will play a crucial role in streamlining our Software Development Life Cycle (SDLC) through collaborative efforts, moving us from a state of manual, disparate deployments to a more unified and automated system. These engineers will gain a deep understanding of our core products' architecture and composition, enabling them to effectively deploy and manage these systems when needed. A critical aspect of this role will be seamlessly integrating various machine learning (ML) tasks and updates into our SDLC, transforming currently separate ML components into a cohesive and automated workflow. While direct ML expertise is not required, a desire to learn and integrate ML components into the lifecycle is essential. Must have: - At least an active TS/SCI clearance and the ability & willingness to up level to CI Poly. This is a requirement and candidates will not be considered who do not hold at least a TS/SCI clearance. You will: - Design, develop, and maintain robust CI/CD pipelines to automate the deployment of our lowside and highside products. - Collaborate closely with product and engineering teams to enhance existing application code for improved compatibility and streamlined integration within automated pipelines. - Contribute to the overall architecture and design of our deployment systems, bringing new ideas to life for increased efficiency and reliability. - Troubleshoot and resolve complex deployment issues, ensuring minimal disruption to development cycles. - Develop a deep understanding of our product and ML architectures to facilitate seamless integration and deployment. - Document pipeline processes and configurations to ensure maintainability and knowledge transfer. - Proactively incorporate security best practices into all stages of the CI/CD pipeline, building security into our development processes. - Drive standardization and foster collaboration across different product teams to achieve a unified and efficient SDLC. Ideally you'd have: - 2-3 years of experience as a DevOps Engineer, DevSecOps Engineer, Software Engineer with a strong focus on CI/CD, or a similar role. - Proven track record of building or significantly enhancing CI/CD pipelines. - Experience configuring and adapting application code to integrate seamlessly with evolving CI/CD environments. - Experience working fluently with standard containerization & deployment technologies like Kubernetes, Terraform, Docker, etc. - Familiarity with cloud platforms (e.g., AWS, Azure, GCP). - Strong proficiency in scripting and automation (e.g., Python, Bash, PowerShell). - Familiarity with various CI/CD platforms (e.g., Jenkins, GitLab CI, GitHub Actions, Azure DevOps). - Knowledge of software architecture, system design, and version control systems. - Comfort with rapidly changing, fast-paced environments and a passion for finding automated solutions to complex problems. - Basic understanding of security best practices in software development and an eagerness to integrate them. - A hunger for learning new technologies, particularly in the realm of integrating ML into automated workflows. - Strong pro