Software Engineer AI Jobs at Scale AI with Visa Sponsorship
Scale AI hires Software Engineer AI roles to build the data infrastructure powering frontier AI systems. The company has an established visa sponsorship practice for this function, supporting candidates across both nonimmigrant work visas and permanent residence pathways throughout the hiring and onboarding process.
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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.

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 130+ Software Engineer AI at Scale AI jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Software Engineer AI at Scale AI roles.
Get Access To All JobsTips for Finding Software Engineer AI Jobs at Scale AI Jobs
Align your portfolio to Scale AI's data pipeline work
Scale AI's Software Engineer AI roles center on data labeling infrastructure, model evaluation tooling, and RLHF pipelines. Tailor your GitHub projects and work samples to show hands-on experience with these systems before you apply.
Confirm your visa type fits Scale AI's sponsorship scope
Scale AI sponsors multiple visa categories, so verify your current status qualifies before investing time in interviews. F-1 OPT candidates should flag their remaining authorized period early, since STEM OPT extensions require E-Verify enrollment from the employer.
Use Migrate Mate to surface open Software Engineer AI roles at Scale AI
Scale AI posts Software Engineer AI openings across multiple channels and hiring cycles. Search Migrate Mate to filter specifically for Scale AI roles that include visa sponsorship, so you're only applying where sponsorship is already confirmed.
Prepare for H-1B specialty occupation documentation early
USCIS scrutinizes AI engineering roles for specialty occupation status, especially when job duties span engineering and research. Gather degree transcripts, relevant course descriptions, and a detailed offer letter that maps your specific technical duties to your field of study.
Build your EB-2 or EB-3 case file from day one
Scale AI sponsors Green Card pathways for this function. If permanent residence is your goal, start documenting publications, patents, and project impact at the start of employment. The PERM labor certification process requires evidence that accumulates over time.
Software Engineer AI at Scale AI jobs are hiring across the US. Find yours.
Find Software Engineer AI at Scale AI JobsFrequently Asked Questions
Does Scale AI sponsor H-1B visas for Software Engineer AIs?
Yes, Scale AI sponsors H-1B visas for Software Engineer AI roles. Because this function involves building AI infrastructure and evaluation tooling, USCIS typically classifies it as a specialty occupation in computer science or a related engineering field. Your degree field should map clearly to your job duties, and your employer will need a certified Labor Condition Application from the DOL before filing your H-1B petition with USCIS.
Which visa types are commonly used for Software Engineer AI roles at Scale AI?
Scale AI supports H-1B, E-3, TN, F-1 OPT, F-1 CPT, J-1, and EB-2 or EB-3 Green Card pathways for this role. Australian citizens often pursue the E-3 route, which has no lottery and allows two-year renewable status. Canadian and Mexican nationals frequently use TN visas. For F-1 graduates, STEM OPT is a common bridge, provided Scale AI is E-Verify enrolled, which most large technology employers are.
What qualifications and experience does Scale AI expect for Software Engineer AI roles?
Scale AI typically hires Software Engineer AI candidates with a bachelor's or master's degree in computer science, machine learning, or a related field. Practical experience with large language model workflows, data annotation pipelines, reinforcement learning from human feedback, or distributed systems is valued. Strong Python proficiency and prior work on model evaluation tooling or training infrastructure are common signals in their job descriptions.
How do I apply for Software Engineer AI jobs at Scale AI?
Search for open Software Engineer AI roles on Migrate Mate, where listings are filtered to show positions that include visa sponsorship. Apply directly through Scale AI's careers portal with a resume that emphasizes AI infrastructure experience. During recruiter screening, clearly state your visa status and intended sponsorship type so the team can align on timeline. The interview process typically includes a technical screen, systems design round, and a domain-specific AI engineering assessment.
How do I plan my timeline if Scale AI is sponsoring my H-1B for a Software Engineer AI role?
The H-1B cap lottery runs once per year, with registrations opening in March and an October 1 start date if selected. If you're currently on F-1 OPT, your 60-day grace period after OPT expiry does not extend your work authorization, so confirming your cap-gap coverage or a pending petition status is critical. Premium processing through USCIS, which provides a faster adjudication decision, is an option worth discussing with Scale AI's immigration team if your start date is time-sensitive.
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