Backend Engineer Jobs at Scale AI with Visa Sponsorship
Scale AI hires Backend Engineers to build the infrastructure powering data labeling pipelines, model evaluation systems, and internal tooling at scale. The company has a consistent track record of sponsoring work visas across multiple categories, making it a realistic target for international engineers actively job searching.
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Get Access To All JobsINTRODUCTION
The Public Sector software engineers (SWEs) create the core product building blocks forward-deployed teams use to develop agentic capabilities that function across multiple domains. SWEs responsibilities include building the systems required to ingest and process federal datasets to support real-time decision-making in contested environments. We develop novel agentic enabling capabilities that includes:
* Create multi-layered guardrails around agents
* Optimize data retrieval for agents
* Orchestrate fleets of asynchronous agents
* Automatically alerts users to deviations in data
* Illustrating how an agent reached a decision
ROLE AND RESPONSIBILITIES
As a Staff Software Engineer, you will orchestrate the implementation of vertical features and horizontal capabilities to include mentoring other engineers on defining requirements with stakeholders and communication tradeoffs of technical implementations on feature and capabilities until they are accepted by the stakeholders.
You will:
* Orchestrate feature implementation across the Federal engineering team to ensure architectural consistency.
* Define technical strategy for agentic guardrails, explainability, and fleet orchestration.
* Ensure system reliability and performance across multiple security classifications and network types.
* Mentor engineers in the process of defining requirements with stakeholders and gathering acceptance.
* Communicate high-level technical trade-offs and implementation strategies to senior government stakeholders and Scale C-Suite members.
* Influence the long-term product strategy and technical roadmap for the Federal business unit.
* Consult on the architecture of AI-powered solutions for large-scale federal contracts.
BASIC QUALIFICATIONS
Ideally you will have:
* Full Stack Development: Proficiency in front-end, back-end development and infrastructure, 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.
* AI Application Integration: Familiarity with integrating Large Language Models (LLMs) and building agentic workflows. Understanding of prompt engineering, retrieval-augmented generation (RAG), and agent orchestration 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 defining and evolving project requirements. Ability to quickly grasp and apply new concepts and stay up-to-date with emerging trends in software engineering.
COMPENSATION
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
* Generous PTO
Additionally, this role may be eligible for additional benefits such as a commuter stipend.
For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $252,000—$362,000 USD. The base salary range for this full-time position in the locations of Hawaii, Washington DC, Texas, Colorado is: $227,200—$326,000 USD. The base salary range for this full-time position in the location of St. Louis is: $188,800—$272,000 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.
INTRODUCTION
The Public Sector software engineers (SWEs) create the core product building blocks forward-deployed teams use to develop agentic capabilities that function across multiple domains. SWEs responsibilities include building the systems required to ingest and process federal datasets to support real-time decision-making in contested environments. We develop novel agentic enabling capabilities that includes:
* Create multi-layered guardrails around agents
* Optimize data retrieval for agents
* Orchestrate fleets of asynchronous agents
* Automatically alerts users to deviations in data
* Illustrating how an agent reached a decision
ROLE AND RESPONSIBILITIES
As a Staff Software Engineer, you will orchestrate the implementation of vertical features and horizontal capabilities to include mentoring other engineers on defining requirements with stakeholders and communication tradeoffs of technical implementations on feature and capabilities until they are accepted by the stakeholders.
You will:
* Orchestrate feature implementation across the Federal engineering team to ensure architectural consistency.
* Define technical strategy for agentic guardrails, explainability, and fleet orchestration.
* Ensure system reliability and performance across multiple security classifications and network types.
* Mentor engineers in the process of defining requirements with stakeholders and gathering acceptance.
* Communicate high-level technical trade-offs and implementation strategies to senior government stakeholders and Scale C-Suite members.
* Influence the long-term product strategy and technical roadmap for the Federal business unit.
* Consult on the architecture of AI-powered solutions for large-scale federal contracts.
BASIC QUALIFICATIONS
Ideally you will have:
* Full Stack Development: Proficiency in front-end, back-end development and infrastructure, 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.
* AI Application Integration: Familiarity with integrating Large Language Models (LLMs) and building agentic workflows. Understanding of prompt engineering, retrieval-augmented generation (RAG), and agent orchestration 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 defining and evolving project requirements. Ability to quickly grasp and apply new concepts and stay up-to-date with emerging trends in software engineering.
COMPENSATION
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
* Generous PTO
Additionally, this role may be eligible for additional benefits such as a commuter stipend.
For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $252,000—$362,000 USD. The base salary range for this full-time position in the locations of Hawaii, Washington DC, Texas, Colorado is: $227,200—$326,000 USD. The base salary range for this full-time position in the location of St. Louis is: $188,800—$272,000 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.
See all 68+ Backend Engineer at Scale AI jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Backend Engineer at Scale AI roles.
Get Access To All JobsTips for Finding Backend Engineer Jobs at Scale AI Jobs
Align your stack with Scale AI's infrastructure
Scale AI's backend runs heavily on distributed systems, data pipelines, and ML infrastructure. Before applying, make sure your resume reflects experience with those patterns, not just general API development. Engineers who can speak to throughput, fault tolerance, or annotation tooling stand out.
Target roles that map cleanly to a specialty occupation
H-1B approval depends on USCIS accepting the role as a specialty occupation. Backend Engineer positions tied to machine learning infrastructure or distributed data systems are a stronger fit than generalist roles. Focus your application on teams where a specific degree field is clearly required.
Use Migrate Mate to filter Backend Engineer roles by visa type
Sponsorship eligibility varies by role and team, even within the same company. Use Migrate Mate to filter Scale AI's Backend Engineer openings by the visa categories you qualify for, so you're only spending time on roles that actually fit your status.
Start the LCA filing conversation before signing the offer
Your employer must file a certified Labor Condition Application with DOL before USCIS can receive an H-1B or E-3 petition. Ask Scale AI's recruiting team where they are in that process before you commit to a start date, especially if you're transferring from another employer.
Build a paper trail for the degree equivalency review
If your computer science or engineering degree is from outside the U.S., Scale AI's immigration counsel will likely need a credential evaluation. Commission it before your final interview round so it's ready when the petition process begins, not holding up your start date.
Backend Engineer at Scale AI jobs are hiring across the US. Find yours.
Find Backend Engineer at Scale AI JobsFrequently Asked Questions
Does Scale AI sponsor H-1B visas for Backend Engineers?
Yes, Scale AI sponsors H-1B visas for Backend Engineers. The role typically qualifies as a specialty occupation under USCIS guidelines, particularly for positions tied to machine learning infrastructure, distributed systems, or data pipeline engineering. If you're subject to the H-1B cap, timing your application to align with the annual lottery registration window in March is essential.
How do I apply for Backend Engineer jobs at Scale AI?
You can browse and apply for Backend Engineer roles at Scale AI directly through their careers page or through Migrate Mate, which filters open positions by visa sponsorship eligibility. Tailor your application to the specific team's technical scope, whether that's data labeling infrastructure, model evaluation tooling, or internal platform engineering, rather than sending a generic submission.
Which visa types does Scale AI commonly use for Backend Engineers?
Scale AI sponsors several visa categories for Backend Engineers, including H-1B, E-3 for Australian citizens, TN for Canadian and Mexican nationals, F-1 OPT and CPT for current students, J-1, and employment-based Green Cards through EB-2 or EB-3 pathways. The right category depends on your nationality, degree, and where you are in your immigration journey.
What qualifications does Scale AI expect from Backend Engineer candidates?
Scale AI's Backend Engineer roles typically require a bachelor's degree or higher in computer science, software engineering, or a closely related field. Practical experience with distributed systems, data pipelines, or high-throughput services matters more than years on the job. For visa sponsorship purposes, the degree field needs to relate directly to the technical scope of the role you're targeting.
How do I plan my timeline if I need visa sponsorship at Scale AI?
Timeline depends heavily on your visa category. F-1 OPT gives you up to 60 days between jobs, so don't wait until your authorization expires to start the process. H-1B cap cases require a March lottery registration, meaning a full-year wait is possible if you miss it. For E-3 or TN transfers, the Labor Condition Application with DOL needs to be certified before your petition can be filed, which adds two to four weeks minimum.
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