Scale AI E-3 Visa Sponsorship Jobs USA
Scale AI sponsors E-3 visas for Australian professionals in software engineering, machine learning, and data roles. The company has an established immigration program and works with experienced counsel, making it a viable target for E-3 applicants with a strong technical background and relevant degree.
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Get Access To All JobsINTRODUCTION
Scale plays a critical role in powering the next generation of AI applications across the enterprise. As our customer base grows exponentially, Principal Solutions Engineers operate as senior technical leaders on the front lines—shaping how the world's most innovative companies adopt, deploy, and scale AI with Scale.
Principal Solutions Engineers are trusted advisors to both customers and internal stakeholders, owning the most complex and high-impact opportunities. They partner closely with Sales, Product, and Engineering leadership to drive technical strategy, secure executive alignment, and deliver differentiated solutions that win and expand strategic accounts. Beyond individual deals, they influence product direction, define best practices, and elevate the capabilities of the broader Solutions Engineering organization.
ROLE AND RESPONSIBILITIES
You will:
- Own technical strategy and execution for the company's most complex, high-value enterprise opportunities, acting as the ultimate arbiter of the "technical win"
- Serve as a trusted advisor to executive stakeholders (CTOs, Heads of AI, Engineering leaders), guiding long-term AI/LLM adoption strategies
- Architect and lead end-to-end solution design, from discovery through pilots and productionization, across ambiguous and evolving customer requirements
- Drive cross-functional alignment across Sales, Product, and Engineering to unblock critical technical and business challenges
- Define and shape large, multi-phase Scopes of Work, translating ambiguous customer problems into scalable, production-ready solutions
- Lead high-impact customer engagements, including executive presentations, technical deep dives, and workshops
- Influence Scale's product roadmap by synthesizing customer insights and advocating for high-leverage feature development
- Mentor and elevate other Solutions Engineers, establishing best practices across demos, pilots, and technical sales strategy
- Drive org-level initiatives that improve win rates, shorten sales cycles, and increase the scalability of the Solutions Engineering function
BASIC QUALIFICATIONS
Ideally, you'd have:
- Deep technical background with significant experience in customer-facing engineering roles (pre-sales, forward-deployed, or post-sales) at enterprise scale
- Proven track record of owning and closing complex, multi-stakeholder technical deals with Fortune 500 or equivalent enterprises
- Strong systems thinking and architecture experience across cloud, data, and AI/ML systems
- Hands-on experience with programming languages such as Python, Java, or similar, with the ability to prototype and validate solutions when needed
- Experience operating as a senior technical advisor to executive stakeholders, with strong presence and credibility
- Demonstrated ability to navigate ambiguity, influence without authority, and drive alignment across diverse teams
- Exceptional communication skills, with the ability to translate between business, product, and technical audiences
- High degree of ownership, intellectual curiosity, and bias for action in fast-paced, ambiguous environments
PREFERRED QUALIFICATIONS
Nice to haves:
- Deep experience with Generative AI / LLM applications in enterprise environments
- Background in forward-deployed engineering or building production-grade ML systems
- Experience in regulated industries such as financial services, insurance, or healthcare
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
Scale plays a critical role in powering the next generation of AI applications across the enterprise. As our customer base grows exponentially, Principal Solutions Engineers operate as senior technical leaders on the front lines—shaping how the world's most innovative companies adopt, deploy, and scale AI with Scale.
Principal Solutions Engineers are trusted advisors to both customers and internal stakeholders, owning the most complex and high-impact opportunities. They partner closely with Sales, Product, and Engineering leadership to drive technical strategy, secure executive alignment, and deliver differentiated solutions that win and expand strategic accounts. Beyond individual deals, they influence product direction, define best practices, and elevate the capabilities of the broader Solutions Engineering organization.
ROLE AND RESPONSIBILITIES
You will:
- Own technical strategy and execution for the company's most complex, high-value enterprise opportunities, acting as the ultimate arbiter of the "technical win"
- Serve as a trusted advisor to executive stakeholders (CTOs, Heads of AI, Engineering leaders), guiding long-term AI/LLM adoption strategies
- Architect and lead end-to-end solution design, from discovery through pilots and productionization, across ambiguous and evolving customer requirements
- Drive cross-functional alignment across Sales, Product, and Engineering to unblock critical technical and business challenges
- Define and shape large, multi-phase Scopes of Work, translating ambiguous customer problems into scalable, production-ready solutions
- Lead high-impact customer engagements, including executive presentations, technical deep dives, and workshops
- Influence Scale's product roadmap by synthesizing customer insights and advocating for high-leverage feature development
- Mentor and elevate other Solutions Engineers, establishing best practices across demos, pilots, and technical sales strategy
- Drive org-level initiatives that improve win rates, shorten sales cycles, and increase the scalability of the Solutions Engineering function
BASIC QUALIFICATIONS
Ideally, you'd have:
- Deep technical background with significant experience in customer-facing engineering roles (pre-sales, forward-deployed, or post-sales) at enterprise scale
- Proven track record of owning and closing complex, multi-stakeholder technical deals with Fortune 500 or equivalent enterprises
- Strong systems thinking and architecture experience across cloud, data, and AI/ML systems
- Hands-on experience with programming languages such as Python, Java, or similar, with the ability to prototype and validate solutions when needed
- Experience operating as a senior technical advisor to executive stakeholders, with strong presence and credibility
- Demonstrated ability to navigate ambiguity, influence without authority, and drive alignment across diverse teams
- Exceptional communication skills, with the ability to translate between business, product, and technical audiences
- High degree of ownership, intellectual curiosity, and bias for action in fast-paced, ambiguous environments
PREFERRED QUALIFICATIONS
Nice to haves:
- Deep experience with Generative AI / LLM applications in enterprise environments
- Background in forward-deployed engineering or building production-grade ML systems
- Experience in regulated industries such as financial services, insurance, or healthcare
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.
Job Roles at Scale AI
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Get Access To All JobsTips for Finding Scale AI E-3 Visa Sponsorship Jobs USA
Align your degree to Scale AI's SOC codes
Scale AI files LCAs under specific SOC codes for roles like software developers and data scientists. Cross-check your degree field against the job's O*NET occupation profile before applying, a mismatch between your major and the listed SOC code is the most common reason E-3 petitions get challenged.
Target machine learning and data annotation roles
Scale AI's core product is AI training data, so roles in ML engineering, data pipeline development, and AI quality are the most natural fit for E-3 sponsorship. These positions directly require the technical bachelor's degree that makes specialty occupation qualification straightforward.
Request the LCA before negotiating your start date
Scale AI's HR team needs to file and receive a certified LCA from DOL before your E-3 application can proceed. DOL certification typically takes seven business days, so factor that into your timeline when agreeing on a start date with your hiring manager.
Verify your offer salary against OFLC Wage Search
Your E-3 offer must meet the prevailing wage for your role and location as certified on the LCA. Pull the current wage level for your specific SOC code and Scale AI's office location using the OFLC Wage Search before your offer conversation so you can spot a compliance gap early.
Use Migrate Mate to prepare your E-3 filing documents
Once Scale AI extends an offer and the LCA is certified, use Migrate Mate to handle the DS-160, support letter, and consulate package. This is especially useful if your interview is in Australia and you're coordinating logistics across time zones with Scale AI's legal team.
Clarify remote work location with Scale AI's immigration counsel
If your role allows remote work or you'll be working from a different city than Scale AI's listed office, the LCA must cover that worksite. Confirm with your recruiter which physical location will be listed before the LCA is filed, as amending it after certification adds delay.
Scale AI E-3 Visa Sponsorship: Frequently Asked Questions
Does Scale AI sponsor E-3 visas?
Yes, Scale AI sponsors E-3 visas for eligible Australian nationals in qualifying specialty occupation roles. The company has an established immigration program that includes E-3 alongside other work visa categories. Sponsorship is most consistently available for technical roles in software engineering, machine learning, and data infrastructure where the specialty occupation standard is clearly met.
Which roles at Scale AI typically qualify for E-3 sponsorship?
Software engineers, machine learning engineers, data scientists, and AI research roles are the most consistent E-3 candidates at Scale AI. These positions require at least a bachelor's degree in a directly related field, which satisfies the specialty occupation requirement. Business, operations, and generalist roles are less predictable and depend on how the hiring manager and legal counsel structure the job description.
How do I start the E-3 application process after receiving an offer from Scale AI?
After accepting your offer, Scale AI's immigration counsel will prepare and file a Labor Condition Application with DOL. Once the LCA is certified, you complete the DS-160, gather supporting documents including an employer support letter, and schedule a consulate interview in Australia. USCIS is not involved in E-3 applications filed at a consulate, so the process moves faster than H-1B visa petitions.
How long does E-3 sponsorship take at Scale AI?
From signed offer to visa stamp, most E-3 applicants complete the process in four to eight weeks. DOL LCA certification takes around seven business days. Consulate interview wait times in Sydney, Melbourne, and Perth vary by season. Scale AI's legal team can advise on current wait times, and Migrate Mate can help you prepare your consulate package efficiently once the LCA is in hand.
Can I transfer my E-3 to Scale AI if I'm already working in the U.S. on another visa?
Australians currently in the U.S. on a valid E-3 with another employer can transfer to Scale AI, but the new E-3 is a fresh application rather than a formal transfer. Scale AI must file a new LCA, and you'll typically attend a consulate interview for the new stamp unless you're changing status internally. Confirm your current visa's validity dates with Scale AI's immigration counsel before your last day at your current employer.
What is the prevailing wage for E-3 sponsorship at Scale AI?
E-3 employers must pay at least the prevailing wage, determined when they file a Labor Condition Application with the Department of Labor. The rate is based on the role, location, and experience level, ensuring Australian hires are paid comparably to U.S. workers in the same position. You can look up prevailing wage rates for any occupation and location using the DOL's OFLC Wage Search tool.