About Scale

We are a cutting-edge tech company focused on developing tools that cover the full AI development lifecycle. Our partners include industry titans such as OpenAI, Lyft, Meta, GM, Samsung, Airbnb, and NVIDIA. Backed by a $1B Series F funding, our valuation has surged to over $13.8B.

At Scale, our Generative AI Data Engine powers the most advanced LLMs and generative models in the world through world-class RLHF, human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI.

We are looking for a strong Field Engineer to join our team. This role requires a strong technical background, customer problem-solving mindset, and hands-on experience with data processing and automation.

About the Role

As a Field Engineer, you will be an integral member of our engineering team, responsible for ensuring customers can efficiently integrate and utilize Scale’s solutions. You will work across backend systems, automation workflows, and API integrations while collaborating closely with Customer Success, Product, and Engineering teams.

You Will

Own and manage technical relationships with customers, acting as the primary contact for API integration, debugging, and workflow optimization while ensuring seamless adoption of Scale’s solutions.
Lead and mentor a small team of engineers, providing technical guidance, prioritizing tasks, and driving their professional development.
Optimize and automate data pipelines and structured data processing through scripting and workflow improvements, ensuring efficiency and scalability.
Develop and maintain internal tools, documentation, and SDKs to support customers and internal teams.
Drive cross-functional collaboration with Engineering, Product, and Customer Success teams to enhance service delivery and advocate for technical improvements.

Who We’re Looking For

You thrive on problem-solving and unblocking others. You enjoy being the go-to person for resolving technical challenges and finding the most efficient path forward.
You are patient and customer-focused. Whether working with internal teams or external customers, you take the time to understand their needs, ask the right questions, and guide them toward the best solution.
You bring clarity to complexity. You excel at turning ambiguous, scattered, or confusing requests into structured, actionable plans that drive real progress.
You are an exceptional communicator. You proactively keep stakeholders informed, provide clear updates, and ensure issues are resolved within the promised timeline—never letting things fall through the cracks.
You are a natural leader and mentor. You provide technical guidance, define tasks, and support your team’s growth while ensuring a healthy balance between hands-on work and leadership responsibilities.

Ideally you’d have

Min of 6+ years of relevant engineering experience in SaaS, AI/ML, or enterprise technical roles.
Strong proficiency in JavaScript/TypeScript (required); familiarity with Python is a plus.
Experience working with REST APIs, debugging integration issues, and improving automation workflows.
Familiarity with MongoDB or similar databases for managing structured data.
Experience managing small teams, in fast paced environments.
Strong analytical and problem-solving skills, with a structured approach to debugging and optimization.
Ability to manage multiple customer requests efficiently while maintaining high service standards.
Excellent written and verbal communication skills, with the ability to explain technical concepts to non-technical stakeholders.

Why Join Scale?

Work with top AI and ML experts to help shape the future of data-driven technology.
Engage with cutting-edge customers, from startups to Fortune 500 companies.
Growth opportunities to transition into leadership or specialized technical roles.
Competitive salary, equity options, and comprehensive benefits package.
Fully remote-friendly environment with opportunities for in-person collaboration.

PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

About Us:

At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI. Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.

We comply with the United States Department of Labor's Pay Transparency provision.

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.