Job Details

San Francisco, CA; St. Louis, MO; New York, NY; Washington, DC

Scale AI is seeking highly skilled and motivated Software Engineers to join our dynamic Federal Engineering team. As a part of this team, you will play a critical role in delivering high-impact AI-powered mission solutions for government customers. Our scalable and high-performance platform forms the foundation for these solutions, and your expertise will be instrumental in designing and implementing systems that can handle billions of data points with exceptional performance.

Key Responsibilities

• Design and implement scalable backend systems for Federal customers, leveraging Scale's modern and cloud-native AI infrastructure.
• Collaborate with cross-functional teams to define and execute the vision for backend solutions, ensuring they meet the unique needs of government agencies operating in secure environments.
• Develop distributed systems, data-intensive applications, and machine learning infrastructure to enable real impact for mission owners.
• 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.
• Contribute to the platform roadmap and product strategy for Scale AI's Federal business, playing a key role in shaping the future direction of our offerings.
• This role will require an active TS/SCI security clearance or the ability to obtain a security clearance.

Desired Skills & Experience

• Full Stack Development: Proficiency in both front-end and back-end development, including modern web development frameworks, programming languages, and databases.
• Cloud-Native Technologies: Familiarity with cloud platforms (AWS, Azure, GCP) and experience deploying applications in a cloud-native environment; containerization (Docker) and orchestration (Kubernetes) knowledge is a plus.
• Data Engineering: Knowledge of ETL processes and building data pipelines; understanding of data modeling, warehousing, and governance principles.
• Machine Learning Infrastructure: Familiarity with frameworks (TensorFlow, PyTorch) and experience designing and implementing ML infrastructure, including model serving, monitoring, and deployment strategies.
• Problem Solving: Strong analytical and problem‑solving skills to understand complex challenges and devise effective solutions.
• Collaboration and Communication: Excellent interpersonal and communication skills to collaborate with cross‑functional teams and articulate technical concepts to non-technical audiences.
• Adaptability and Learning Agility: Willingness to embrace new technologies, learn quickly, and adapt to evolving project requirements.

Compensation includes base salary, equity, and benefits. Base salary ranges for this full-time position are:

• San Francisco, New York, Seattle: $184,000 - $292,560 USD
• Washington DC, Texas, Colorado: $165,600 - $263,304 USD
• Hawaii / St. Louis: $138,000 - $219,420 USD

Equal Employment Opportunity

Scale AI is committed to equal employment opportunity. We value diversity and are proud to be an inclusive, equal‑opportunity workplace. We are an inclusive and equalportunity workplace, 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 ...@scale.com.

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