H-1B Visa AI Research Engineer Jobs
AI Research Engineer roles sit firmly within H-1B visa specialty occupation requirements, typically demanding a master's or PhD in computer science, machine learning, or a closely related field. Employers filing H-1B petitions for these positions must certify a prevailing wage through a Labor Condition Application before USCIS can approve your petition.
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INTRODUCTION
Meet the team
Join Cisco’s Enterprise AI team, the core group enabling Generative AI powered experiences across Cisco. Our mission is to build secure, scalable AI platforms that empower teams to safely develop, deploy, and operationalize AI-powered solutions. We operate at the intersection of applied AI, cloud infrastructure and security - partnering across engineering, security, compliance, and product teams to bring trusted AI to life at enterprise scale.
We are a fast-growing, highly collaborative team of platform engineers, AI engineers, and data scientists who value technical depth, ownership, and pragmatic execution. What makes this team exciting is the opportunity to define how secure Generative AI is built and governed inside a global technology leader.
Your Impact
As a leader in this role, you will serve as the critical bridge between theoretical AI research and tangible enterprise innovation. Your impact will be defined by your ability to shape the future of our strategic domains—such as networking, security, and human-computer interaction—by translating complex AI methodologies into scalable, real-world solutions. By defining research roadmaps and fostering a culture of scientific rigor, you will directly influence our product strategy and technical direction while mentoring the next generation of AI talent. Ultimately, your work will set the standard for ethical, high-performance AI, ensuring that our advancements not only solve critical business challenges but also contribute significantly to the broader scientific community.
Key Responsibilities
In this role, you will lead applied AI research at scale, shaping how Cisco designs, builds, and governs next-generation intelligent systems. Your core responsibilities include:
- Lead and direct AI research teams in the planning, execution, and analysis of cutting-edge research initiatives that advance the field of artificial intelligence across strategic domains including networking, security, programming, human-computer interaction, and other critical areas of computer science.
- Apply deep expertise in core AI methodologies—including representation learning and structured prediction techniques (e.g., network topologies, computational biology, natural language processing)—to guide the design and development of foundational AI representations that drive enterprise innovation.
- Define and own the long-term research strategy, methodologies, and priorities, ensuring tight alignment with enterprise objectives and effective collaboration with Product Management, Engineering, and Design partners to translate business needs into actionable AI research roadmaps.
- Drive innovation by staying at the forefront of emerging AI trends and incorporating advanced techniques—such as transfer learning, generative models, large language models, and problem-specific structured predictions—into research strategies and prototypes.
- Translate research outcomes into impactful, production-ready solutions by partnering with engineering teams to operationalize models, validate performance at scale, and integrate AI capabilities into enterprise products.
- Mentor, coach, and grow AI research talent, cultivating a high-performance culture grounded in scientific rigor, technical excellence, peer review, and cross-disciplinary collaboration.
- Establish and uphold standards for ethical AI, responsible model development, data governance, privacy, and security; ensure all research adheres to enterprise governance frameworks and regulatory requirements.
- Represent the organization in the broader AI community through publications, conferences, and external partnerships, while protecting intellectual property and contributing to thought leadership in the field.
MINIMUM QUALIFICATIONS
- Bachelor’s degree Computer Science, Artificial Intelligence, Machine Learning, or a related field and 8+ years of relevant industry research experience.
- Experience leading or conducting advanced AI research, specifically in areas such as representation learning, structured prediction, or deep learning architectures.
- Demonstrated experience applying advanced AI techniques (e.g., transfer learning, generative models) to solve complex problems in networking, security, or human-computer interaction.
- Experience collaborating with cross-functional stakeholders (Product Management, Engineering, Design) to translate business objectives into actionable research roadmaps.
- Documented experience ensuring AI research adheres to ethical standards, data privacy, and security governance protocols.
PREFERRED QUALIFICATIONS
- Deep technical knowledge of network topologies, cybersecurity architectures, or large-scale natural language processing.
- Experience managing a research team of 5+ members, including defining long-term research strategies and managing project budgets or resource allocation.
- Experience in transitioning research prototypes into production-grade solutions that have been integrated into enterprise products or services.
- Ability to bridge the gap between disparate domains (e.g., applying computational biology techniques to network security problems).
Why Cisco?
At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.
Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.
We are Cisco, and our power starts with you.
Message to applicants applying to work in the U.S. and/or Canada:
The starting salary range posted for this position is $216,300.00 to $280,800.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits.
Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process.
U.S. employees are offered benefits, subject to Cisco’s plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time.
U.S. employees are eligible for paid time away as described below, subject to Cisco’s policies:
- 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees
- 1 paid day off for employee’s birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco
- Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees
- Exempt employees participate in Cisco’s flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations)
- 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next
- Additional paid time away may be requested to deal with critical or emergency issues for family members
- Optional 10 paid days per full calendar year to volunteer
For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco’s policies.
Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows:
- .75% of incentive target for each 1% of revenue attainment up to 50% of quota;
- 1.5% of incentive target for each 1% of attainment between 50% and 75%;
- 1% of incentive target for each 1% of attainment between 75% and 100%; and
- Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation.
For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid.
The applicable full salary ranges for this position, by specific state, are listed below:
New York City Metro Area:
$216,300.00 - $322,900.00
Non-Metro New York state & Washington state:
$197,500.00 - $287,300.00
- For quota-based sales roles on Cisco’s sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined.
Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements.
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Get Access To All JobsTips for Finding H-1B Visa Sponsorship as an AI Research Engineer
Verify your SOC code before applying
AI Research Engineer roles often get classified under multiple SOC codes, which affects prevailing wage levels. Check O*NET to confirm which code matches your specific duties before your employer files the LCA, so there are no mismatches at adjudication.
Target cap-exempt employers strategically
Universities, nonprofit research organizations, and government-affiliated labs are cap-exempt, letting you skip the H-1B lottery entirely. If you're open to academic or applied research settings, these employers can file your petition at any point in the year.
Search verified H-1B sponsors on Migrate Mate
Filter by AI Research Engineer roles on Migrate Mate to find employers with confirmed H-1B filing history in your specialty. This saves time you'd otherwise spend cold-applying to companies that redirect research hires to contractors or don't sponsor directly.
Align your degree transcript to specialty occupation
USCIS scrutinizes AI Research Engineer petitions when degree fields are adjacent but not directly related. Have your employer's immigration counsel frame how your specific coursework, such as neural networks, probabilistic modeling, or systems design, maps to the role's duties in the I-129 petition.
Request premium processing before your start date
Standard H-1B processing can run four to six months. If your offer letter has a firm start date, ask your employer to file with premium processing so USCIS adjudicates within 15 business days and you're not waiting past your agreed onboarding timeline.
Confirm your employer's E-Verify enrollment
If you're on STEM OPT and transitioning to H-1B, your employer must already be enrolled in E-Verify for your OPT extension to remain valid. Confirm enrollment before accepting an offer, not after, to avoid a gap in work authorization.
H-1B Visa AI Research Engineer: Frequently Asked Questions
Does an AI Research Engineer role qualify as a specialty occupation for H-1B purposes?
Yes. USCIS classifies AI Research Engineer positions as specialty occupations because they normally require at least a bachelor's degree in a directly related field such as computer science, electrical engineering, or applied mathematics. Roles focused on model development, algorithm design, or systems research generally clear this threshold without additional justification, though USCIS may issue an RFE if the position description is broad or the degree field is tangentially related.
How do I find employers who actively sponsor H-1B visas for AI research roles?
Use Migrate Mate to browse AI Research Engineer positions filtered by employers with verified H-1B filing history. DOL Labor Condition Application data is publicly available and shows which companies have filed for comparable roles, giving you a concrete signal of sponsorship intent before you apply rather than discovering a company's policy after an offer.
What happens to my H-1B status if my AI research project is defunded mid-petition?
If your employer withdraws the H-1B petition before USCIS approves it, the petition is terminated and you'll need a new employer to file on your behalf. If you're already in valid H-1B status and your position is eliminated, you have a 60-day grace period to find a new employer, transfer your H-1B, or depart the U.S. USCIS does not extend this window for project-based cancellations.
Can an AI Research Engineer role at a startup qualify for H-1B sponsorship?
Yes, but startups face additional scrutiny. USCIS may issue an RFE requesting evidence that the employer has sufficient work and financial capacity to maintain the position for the full petition period. Your employer should document the research scope, funding sources, and organizational structure alongside the I-129. Early-stage companies with substantial venture backing or government research contracts typically satisfy this requirement.
Does holding a PhD in machine learning improve my H-1B approval odds for an AI Research Engineer position?
A PhD strengthens the specialty occupation argument because it directly demonstrates the theoretical depth the role requires. USCIS evaluates whether the position itself requires advanced study, not just whether you hold a higher degree. For senior or principal research engineer roles, a PhD can also support a higher Level III or IV prevailing wage classification under the OFLC Wage Search, which your employer must certify in the Labor Condition Application.