Scale AI
Overview
Field Engineer, Public Sector
role at
Scale AI . Scale is a vital part of bringing AI-enabled technologies to the world, from autonomous driving to drones, robots, and large language models. Scale works with the world's top self-driving car and robotics ML teams as well as the largest companies in the generative AI space. As our customer base grows, you will be on the front lines of our field engineering efforts for our federal AI projects, having the opportunity to meaningfully impact revenue by working closely with our largest public sector customers and ensuring that they become passionate, lifelong Scale customers. Our Field Engineers ensure customers' experiences with Scale's technology are seamless and optimized to build a successful, long-term partnership. Field Engineers partner closely with Product, Engineering, and Operations to lead existing customers through building production-grade data pipelines. This involves knowing our customers’ use-cases inside and out, and creating the tooling and documentation needed to scalably support their growth. Field Engineers are experts on Scale's products and codebase, with general technical knowledge on web development, APIs, and working with large data volumes. They are strong relationship builders, project managers, and collaborate effectively with teams. The ideal person is a software engineer generalist who enjoys working with clients directly, taking ambiguous requirements and issues, and quickly designing and building sustainable solutions in collaboration with Product and Engineering teams. This role sits at the intersection of customer delivery, product, and engineering, offering breadth of experience and collaboration across teams. You will: Implement end-to-end data integrations, syncing customer data to Scale’s platform and back Work with customer engineering teams to optimize data pipelines, including input toward designing API endpoints and input/output schemas Design, develop and maintain playbooks, internal tools, Scale’s documentation and SDKs to quickly set up customers for long-term success Partner with Software Engineers and Operations to remove technical hurdles, debug issues impacting delivery, and own technical escalations from customers Be accountable for the customer’s technical experience throughout their time with Scale Work with AEs and PMs to identify customer-specific feature requests Develop technical domain expertise in Large Language Models, 2D Image Annotation, and API integrations Evangelize Scale and interact with customers at major events Have an active TS/SCI clearance Ideally you'd have: Track record of success as a hybrid customer-facing engineer or similar function Hands-on experience working with clients in pre- or post-sales roles to achieve business goals Experience developing with Python and JavaScript, or other modern software languages Strong engineering background in Computer Science, Mathematics, or related quantitative field Strong project management and interpersonal skills Presentation skills with technical credibility when speaking with executives and engineers Effective cross-organizational communication Intellectual curiosity, empathy, and ability to operate with high velocity Nice to haves: Experience in AI Experience in classified environments Technical go-to-market experience Understanding of DevSecOps, secure software delivery, and CI/CD Container orchestration with Kubernetes and Helm charts Automation of infrastructure with Ansible or similar tools Compensation and benefits : The base salary range for this full-time position in Washington, DC is shown in job postings; compensation packages include base salary, equity, and benefits. Details are provided during the hiring process. Scale employees may receive stock options, and benefits include health, dental, vision, retirement, a learning and development stipend, and generous PTO. This role may be eligible for additional benefits such as a commuter stipend. EEO and accessibility : Scale is an equal opportunity employer. We provide reasonable accommodations to applicants with disabilities. Information on our privacy practices and pay transparency is available in the job posting and Scale policies. About Scale: We believe the transition from traditional software to AI is a major shift. Our mission is to accelerate AI adoption across industries. We power the world’s most advanced LLMs, generative models, and computer vision models and work with government agencies and enterprises alike.
#J-18808-Ljbffr
Field Engineer, Public Sector
role at
Scale AI . Scale is a vital part of bringing AI-enabled technologies to the world, from autonomous driving to drones, robots, and large language models. Scale works with the world's top self-driving car and robotics ML teams as well as the largest companies in the generative AI space. As our customer base grows, you will be on the front lines of our field engineering efforts for our federal AI projects, having the opportunity to meaningfully impact revenue by working closely with our largest public sector customers and ensuring that they become passionate, lifelong Scale customers. Our Field Engineers ensure customers' experiences with Scale's technology are seamless and optimized to build a successful, long-term partnership. Field Engineers partner closely with Product, Engineering, and Operations to lead existing customers through building production-grade data pipelines. This involves knowing our customers’ use-cases inside and out, and creating the tooling and documentation needed to scalably support their growth. Field Engineers are experts on Scale's products and codebase, with general technical knowledge on web development, APIs, and working with large data volumes. They are strong relationship builders, project managers, and collaborate effectively with teams. The ideal person is a software engineer generalist who enjoys working with clients directly, taking ambiguous requirements and issues, and quickly designing and building sustainable solutions in collaboration with Product and Engineering teams. This role sits at the intersection of customer delivery, product, and engineering, offering breadth of experience and collaboration across teams. You will: Implement end-to-end data integrations, syncing customer data to Scale’s platform and back Work with customer engineering teams to optimize data pipelines, including input toward designing API endpoints and input/output schemas Design, develop and maintain playbooks, internal tools, Scale’s documentation and SDKs to quickly set up customers for long-term success Partner with Software Engineers and Operations to remove technical hurdles, debug issues impacting delivery, and own technical escalations from customers Be accountable for the customer’s technical experience throughout their time with Scale Work with AEs and PMs to identify customer-specific feature requests Develop technical domain expertise in Large Language Models, 2D Image Annotation, and API integrations Evangelize Scale and interact with customers at major events Have an active TS/SCI clearance Ideally you'd have: Track record of success as a hybrid customer-facing engineer or similar function Hands-on experience working with clients in pre- or post-sales roles to achieve business goals Experience developing with Python and JavaScript, or other modern software languages Strong engineering background in Computer Science, Mathematics, or related quantitative field Strong project management and interpersonal skills Presentation skills with technical credibility when speaking with executives and engineers Effective cross-organizational communication Intellectual curiosity, empathy, and ability to operate with high velocity Nice to haves: Experience in AI Experience in classified environments Technical go-to-market experience Understanding of DevSecOps, secure software delivery, and CI/CD Container orchestration with Kubernetes and Helm charts Automation of infrastructure with Ansible or similar tools Compensation and benefits : The base salary range for this full-time position in Washington, DC is shown in job postings; compensation packages include base salary, equity, and benefits. Details are provided during the hiring process. Scale employees may receive stock options, and benefits include health, dental, vision, retirement, a learning and development stipend, and generous PTO. This role may be eligible for additional benefits such as a commuter stipend. EEO and accessibility : Scale is an equal opportunity employer. We provide reasonable accommodations to applicants with disabilities. Information on our privacy practices and pay transparency is available in the job posting and Scale policies. About Scale: We believe the transition from traditional software to AI is a major shift. Our mission is to accelerate AI adoption across industries. We power the world’s most advanced LLMs, generative models, and computer vision models and work with government agencies and enterprises alike.
#J-18808-Ljbffr