Green Card AI Research Engineer Jobs
AI Research Engineer roles qualify for EB-2 green card sponsorship when they require an advanced degree in machine learning, computer science, or a related field. Employers file PERM labor certification with DOL before sponsoring your I-140 petition, creating a path to permanent residency rather than a temporary work authorization.
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Get Access To All JobsINTRODUCTION
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
ABOUT SALESFORCE
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
OVERVIEW OF THE ROLE
The Adversarial AI & Research Team is a specialized group of cross-functional security engineers working at the intersection of offensive security and artificial intelligence. As a strategic partner to Salesforce's AI Research, Ethics, Engineering, and Cybersecurity Operations teams, we mitigate risk across all AI initiatives by developing novel security frameworks, specialized tooling, and foundational testing methodologies for both generative and predictive AI systems. We are building a robust foundation for AI security through adversarial datasets, in-house content generation systems, and external knowledge sharing — establishing Salesforce as a leader in the AI security field.
Responsibilities
- Lead adversarial testing of AI by designing, scoping, and executing red team assessments against our AI ecosystem using a risk-based prioritization approach to discover and address vulnerabilities before they can be exploited.
- Innovate in AI attack techniques by combining cutting-edge academic research with proven offensive security methods to establish new Tactics, Techniques, and Procedures, and operationalize emerging research to keep assessments aligned with the state of the art.
- Build and scale security tooling using an automation-first philosophy, driving initiatives to shift security testing left by sharing purpose-built tools with AI security stakeholders across Engineering, Research, and Ethics.
- Serve as a strategic partner across the company, providing an offensive security perspective to guide product development, support corporate governance, and contribute to policies such as Salesforce's Generative AI Security Standard.
BASIC QUALIFICATIONS
- 6+ years of experience in offensive security (red teaming, application security, penetration testing, vulnerability research, etc.).
- 1+ years of direct, hands-on experience testing the security of AI/ML systems, with a deep understanding of LLM vulnerabilities.
- High degree of Python proficiency for tool development, assessment automation, and data analysis.
- Proven experience leading complex technical projects and/or mentoring security teams, with exceptional ability to communicate high-stakes technical risks to both engineering and executive audiences.
PREFERRED QUALIFICATIONS
- Advanced degree (MS or PhD) in a relevant field, or a public portfolio of security research including conference presentations, published papers, CVEs, or open-source contributions.
- Experience creating or managing large-scale datasets for security testing or machine learning training.
- Experience building automated testing frameworks or large-scale evaluation pipelines.
- Familiarity with current AI safety research and frameworks like MITRE ATLAS and the OWASP Top 10 for LLMs.
ACCOMMODATIONS
If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form. Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt-out options.
POSTING STATEMENT
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.
Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions. The typical base salary range for this position is $148,500 - $223,900 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $178,900 - $246,000 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.
INTRODUCTION
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
ABOUT SALESFORCE
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
OVERVIEW OF THE ROLE
The Adversarial AI & Research Team is a specialized group of cross-functional security engineers working at the intersection of offensive security and artificial intelligence. As a strategic partner to Salesforce's AI Research, Ethics, Engineering, and Cybersecurity Operations teams, we mitigate risk across all AI initiatives by developing novel security frameworks, specialized tooling, and foundational testing methodologies for both generative and predictive AI systems. We are building a robust foundation for AI security through adversarial datasets, in-house content generation systems, and external knowledge sharing — establishing Salesforce as a leader in the AI security field.
Responsibilities
- Lead adversarial testing of AI by designing, scoping, and executing red team assessments against our AI ecosystem using a risk-based prioritization approach to discover and address vulnerabilities before they can be exploited.
- Innovate in AI attack techniques by combining cutting-edge academic research with proven offensive security methods to establish new Tactics, Techniques, and Procedures, and operationalize emerging research to keep assessments aligned with the state of the art.
- Build and scale security tooling using an automation-first philosophy, driving initiatives to shift security testing left by sharing purpose-built tools with AI security stakeholders across Engineering, Research, and Ethics.
- Serve as a strategic partner across the company, providing an offensive security perspective to guide product development, support corporate governance, and contribute to policies such as Salesforce's Generative AI Security Standard.
BASIC QUALIFICATIONS
- 6+ years of experience in offensive security (red teaming, application security, penetration testing, vulnerability research, etc.).
- 1+ years of direct, hands-on experience testing the security of AI/ML systems, with a deep understanding of LLM vulnerabilities.
- High degree of Python proficiency for tool development, assessment automation, and data analysis.
- Proven experience leading complex technical projects and/or mentoring security teams, with exceptional ability to communicate high-stakes technical risks to both engineering and executive audiences.
PREFERRED QUALIFICATIONS
- Advanced degree (MS or PhD) in a relevant field, or a public portfolio of security research including conference presentations, published papers, CVEs, or open-source contributions.
- Experience creating or managing large-scale datasets for security testing or machine learning training.
- Experience building automated testing frameworks or large-scale evaluation pipelines.
- Familiarity with current AI safety research and frameworks like MITRE ATLAS and the OWASP Top 10 for LLMs.
ACCOMMODATIONS
If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form. Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt-out options.
POSTING STATEMENT
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.
Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions. The typical base salary range for this position is $148,500 - $223,900 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $178,900 - $246,000 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.
See all 552+ Green Card AI Research Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Green Card AI Research Engineer Jobs.
Get Access To All JobsTips for Finding Green Card Sponsorship as an AI Research Engineer
Document your research contributions before applying
PERM requires your employer to define the job's minimum requirements around your actual qualifications. Gather publications, patents, conference presentations, and GitHub repositories now, since EB-2 petitions live or die on credential specificity.
Target employers with active PERM filing history
AI research roles at national labs, established tech companies, and R&D-focused enterprises file PERM far more consistently than early-stage startups. Use the OFLC Wage Search to verify whether a prospective employer has sponsored similar roles before.
Understand how your O*NET classification affects your petition
AI Research Engineer maps to specific O*NET codes that DOL uses to benchmark prevailing wages and define the labor market test. Confirm your job duties match the O*NET profile before your employer submits the PERM application to avoid an audit.
Use Migrate Mate to filter jobs by green card sponsorship
Searching broadly wastes time on employers who sponsor H-1B visa but won't commit to PERM. Migrate Mate lets you filter AI Research Engineer roles specifically by employment-based green card sponsorship so every application targets a viable path to permanent residency.
Ask about EB-2 versus EB-3 routing during salary negotiations
Employers sometimes default to EB-3 to simplify the labor market test, but EB-2 can offer faster priority dates for certain nationalities. Raise this with your hiring contact before an offer is finalized, not after PERM is already filed.
File I-485 concurrently if your priority date is current
Once your employer files the I-140, USCIS allows concurrent adjustment of status if your country's priority date is immediately available. For nationals of countries without significant EB-2 backlogs, this collapses the timeline considerably compared to waiting sequentially.
Green Card AI Research Engineer: Frequently Asked Questions
Does an AI Research Engineer role qualify for EB-2 or EB-3 sponsorship?
AI Research Engineer positions typically qualify for EB-2 sponsorship because they normally require a master's degree or Ph.D. in machine learning, computer science, or a related discipline. If the employer defines the role as requiring only a bachelor's degree, it may fall under EB-3. The classification depends on the specific job requirements your employer documents in the PERM application, not just your personal credentials.
How does PERM green card sponsorship differ from H-1B for this role?
H-1B grants temporary work authorization for up to six years and is subject to an annual lottery. PERM-based green card sponsorship leads to permanent residency with no cap lottery at the EB-3 level for most nationalities. The trade-off is timeline: PERM labor certification, I-140 approval, and adjustment of status can take two to four years or longer depending on your country of birth, versus an H-1B that can start within months.
What does the PERM labor market test mean for AI Research Engineer openings?
DOL requires your employer to advertise the AI Research Engineer role to U.S. workers before sponsoring a foreign national through PERM. The job posting must reflect the actual minimum requirements of the position. Overstating qualifications to match only your credentials is a common audit trigger. Your employer must retain recruitment records for five years after filing.
How can I find AI Research Engineer jobs that offer green card sponsorship?
Most general job searches don't distinguish between employers willing to file PERM and those who only offer H-1B transfers. Migrate Mate filters AI Research Engineer roles by employment-based green card sponsorship, so you're only seeing positions where the employer has a documented history of supporting permanent residency. That saves significant time compared to asking about sponsorship company by company.
Can I switch employers after my green card sponsorship has started?
Under AC21 portability rules, you can change employers after your I-140 is approved and your I-485 has been pending for at least 180 days, as long as the new role is in the same or a similar occupational classification. For AI Research Engineer positions, a move to a closely related research or engineering role at a new employer generally qualifies, but USCIS evaluates the facts of each case individually.