Jobs

Staff Software Engineer, Public Sector
San Francisco, CA; St. Louis, MO; New York, NY; Washington, DC
·
On-site
·
Full-time
·
1w ago
Compensation
$186,000 - $357,000
Benefits & Perks
•Healthcare
•Dental
•Vision
•401(k)
•Equity
•Learning Budget
•Unlimited PTO
•Commuter Benefits
•Healthcare
•401k
•Equity
•Learning
•Unlimited Pto
•Commuter
Required Skills
Backend Development
Front-end Development
Cloud Platforms
Data Engineering
Machine Learning Infrastructure
Problem Solving
Communication
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., Tensor Flow, Py Torch) 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 is:$248,000—$357,000 USDPlease 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 Washington DC is:$223,000—$320,000 USDPlease 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 St Louis is:$186,000—$267,000 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, Cisco, DLA Piper, 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 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.
Total Views
0
Apply Clicks
0
Mock Applicants
0
Scraps
0
Similar Jobs

Staff Full-Stack Software Engineer
ServiceNow · San Francisco

Staff Security Engineer, Secure Digital Asset Operations
Ripple · San Francisco, CA, United States

Senior Android Platform Engineer
Waymo · San Francisco, CA, USA; Mountain View, CA, USA

Product Manager, Customer Success Engineering
Jobber · Toronto

Staff Electromechanical Engineer (R4211)
Shield AI · San Diego, California
About Scale AI

Scale AI
Series CAccelerate the development of AI applications.
501-1,000
Employees
San Francisco
Headquarters
$7.3B
Valuation
Reviews
3.5
2 reviews
Work Life Balance
1.5
Compensation
3.5
Culture
2.0
Career
3.0
Management
1.5
25%
Recommend to a Friend
Pros
Famous in tech world
Good for career transitions
Offers equity after 1 year
Cons
Extremely long working hours (80+ per week)
Unprofessional recruiting process
Poor communication during hiring
Salary Ranges
0 data points
Junior/L3
L3
Junior/L3 · Data Scientist L3
0 reports
$123,049
total / year
Base
-
Stock
-
Bonus
-
$104,592
$141,506
Interview Experience
5 interviews
Difficulty
3.2
/ 5
Duration
14-28 weeks
Offer Rate
20%
Experience
Positive 20%
Neutral 60%
Negative 20%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Technical Interview
5
Final Round
Common Questions
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
System Design
News & Buzz
CCC Intelligent Solutions Appoints Chief Product Officer to Scale AI-Driven Innovation Across the Industry - Business Wire
Source: Business Wire
News
·
5w ago
Industry insight: photonics to scale AI data centers - Nature
Source: Nature
News
·
5w ago
Building trust to scale AI: Interview with the CEO of Stack Overflow - McKinsey & Company
Source: McKinsey & Company
News
·
5w ago
Decagon AI raises $250M at $4.5B valuation to scale AI concierge platform - SiliconANGLE
Source: SiliconANGLE
News
·
5w ago