Field Engineer, Public Sector

As a Field Engineer on our federal AI projects, you'll work directly with our largest public sector customers to make sure their experience with Scale's technology is smooth and successful. You'll help these customers build production-grade data pipelines, working closely with our Product, Engineering, and Operations teams. This means learning each customer's use cases in depth and building the tools and documentation they need to grow.

The role sits at the intersection of customer delivery, product, and engineering. The ideal candidate is a generalist software engineer who enjoys working with clients, takes ambiguous problems and turns them into practical solutions, and collaborates closely with Product and Engineering along the way.

An active TS/SCI clearance is required.

What You'll Do

• Build end-to-end data integrations that sync customer data to and from Scale's platform
• Work with customers' engineering teams to optimize data pipelines, including input on API endpoint design and input/output schemas
• Design and maintain playbooks, internal tools, documentation, and SDKs that set customers up for long-term success
• Partner with engineers and Operations to resolve technical blockers, debug delivery issues, and own technical escalations from customers
• Own the customer's technical experience throughout their time with Scale
• Work with Account Executives and Product Managers to identify customer-specific feature requests
• Develop expertise in large language models, 2D image annotation, and API integrations
• Represent Scale and engage with customers at major events

What We're Looking For

• Experience as a customer-facing engineer or in a similar hybrid role
• Hands-on technical experience working with clients in a pre- or post-sales capacity
• Development experience with Python, JavaScript, or other modern languages
• A strong engineering background, ideally in computer science, mathematics, or another quantitative field
• Strong project management and interpersonal skills
• The ability to present credibly to both executives and front-line engineers
• Comfort communicating across internal and external teams
• Intellectual curiosity, empathy, and the ability to move quickly

Nice to Have

• Experience in AI
• Experience working in classified environments
• Prior experience as a technical go-to-market resource
• Understanding of DevSecOps principles, including secure software delivery, infrastructure as code, and CI/CD
• Hands-on experience with Kubernetes and Helm charts
• Experience automating infrastructure with Ansible or similar tools

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.

The base salary range for this full-time position in the location of Washington DC/Hawaii is:

$180,550—$226,550 USD

The base salary range for this full-time position in the location of St. Louis/Suffolk is:

$150,400—$188,000 USD

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

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 View email address on us.fitly.work. 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.