Job Specifications
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.
You will:
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.
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
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
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
Machine Learning Infrastructure: Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) and experience in designing and implementing machine learning infrastructure. Understanding of model serving, monitoring, and deployment strategies is beneficial
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 in software engineering
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, determined by work location and additional factors, including job-related skills, experience, 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:
$184,000--$292,560 USD
The base salary range for this full-time position in the locations of Washington DC, Texas, Colorado is:
$165,600--$263,304 USD
The base salary range for this full-time position in the location of Hawaii/St. Louis is:
$138,000--$219,420 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 pro
About the Company
At Scale, our mission is to accelerate the development of AI applications. We believe that to make the best models, you need the best data.
The Scale Generative AI Platform leverages your enterprise data to customize powerful base generative models to safely unlock the value of AI. The Scale Data Engine consists of all the tools and features you need to collect, curate and annotate high-quality data, in addition to robust tools to evaluate and optimize your models. Scale powers the most advanced LLMs and generative models ...
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