Green Card Machine Learning Engineer Jobs
Machine Learning Engineer roles qualify for green card sponsorship under EB-2 for advanced-degree professionals and EB-3 for skilled workers with a bachelor's degree. Your employer files a PERM labor certification with DOL before petitioning USCIS, permanently sponsoring your residency rather than tying you to a temporary status.
Find Green Card Machine Learning Engineer JobsOverview
Showing 5 of 1,601+ Machine Learning Engineer jobs










See all 1,601+ Machine Learning Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Machine Learning Engineer roles.
Get Access To All Jobs
The application window is expected to close on: 11/22/2026
This is a Hybrid role based out of Cisco's San Jose office.
Meet the Team
Cisco’s AI Defense is dedicated to securing the next generation of enterprise AI platforms, autonomous agents, and foundation models. Our team brings together world-class distributed systems engineers, security researchers, and AI practitioners in an agile, high-velocity, and collaborative environment. You will join as a technical leader shaping both the product architecture and team culture. This is a rare opportunity to define the industry standard for AI security at Cisco’s global enterprise scale.
Your Impact
As a Technical Lead, you will serve as a hands-on technical authority for AI Defense, owning the systems that detect, validate and stop threats to AI. You will drive hard design and implementation challenges, from low-latency LLM inference at scale to secure deployments in customer environments. Your work will set the engineering standards for the team and directly shape how Cisco secures AI for its customers.
- Define and drive the architecture of scalable, high-performance platform services that protect AI applications and agents in real time.
- Remain hands-on in design and implementation, leading by example on the most complex and ambiguous technical problems.
- Shape LLM inference and model-hosting strategy, balancing latency, cost and scale for enterprise workloads.
- Partner with Product, Threat Research and Ops to deploy production-grade features and capabilities, delivered with operational excellence.
- Act as a technical thought leader and mentor, raising the engineering bar and communicating complex strategy and trade-offs to senior leadership.
Minimum Qualifications
- Bachelor's in Computer Science and 10+ years or Master's and 8+ years or PHD and 3+ years of software engineering experience, including architecting and delivering large-scale distributed systems.
- Experience with cloud-native backend development and modern cloud infrastructure.
- Prior experience with technical leadership across teams while remaining hands-on.
Preferred Qualifications
- Experience with LLM inference, generative AI systems, or AI/ML infrastructure.
- Background in security products or AI security.
- Experience delivering SaaS and hybrid enterprise deployments.
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.
See all 1,601+ Green Card Machine Learning Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Green Card Machine Learning Engineer Jobs.
Get Access To All JobsTips for Finding Green Card Sponsorship as a Machine Learning Engineer
Align your credentials to EB-2 requirements
A U.S. master's degree or a foreign equivalent in computer science, statistics, or a related field positions you for EB-2. Document your degree equivalency early, because PERM audits frequently scrutinize whether your qualifications match the job's minimum requirements.
Target employers with active PERM filing history
Search DOL OFLC disclosure data to confirm an employer has filed PERM certifications for ML Engineer roles recently. A company that has never run a PERM case for your job category faces a steeper learning curve, slowing your green card timeline considerably.
Use Migrate Mate to filter sponsoring employers
Search for Machine Learning Engineer roles on Migrate Mate to surface employers who have sponsored green cards for this specific job title, so you're applying to companies already equipped to run your PERM case from day one.
Verify your role meets DOL prevailing wage
Run your job title and work location through OFLC Wage Search before negotiating an offer. Your offered salary must meet the DOL prevailing wage for the role, or your PERM application will fail regardless of your qualifications or the employer's intent.
Clarify sponsorship scope during the offer stage
Confirm in writing whether the employer will cover premium processing for the I-140 and whether they sponsor dependents. ML Engineer roles attract competitive offers, but sponsorship terms vary widely and are rarely spelled out unless you ask directly before signing.
Check your O*NET job zone before the employer files
Machine Learning Engineer maps to O*NET job zone four or five, which supports the specialty occupation requirement underpinning both EB-2 and EB-3 eligibility. Share this with your employer's attorney to head off any PERM audit questions about whether the role requires a degree.
Green Card Machine Learning Engineer: Frequently Asked Questions
Does a Machine Learning Engineer role qualify for EB-2 or EB-3 sponsorship?
Both categories apply depending on your credentials and the employer's job description. EB-2 requires a master's degree or higher, or a bachelor's plus five years of progressive experience. EB-3 covers professionals with a bachelor's degree in a relevant field. Most ML Engineer positions specify a degree in computer science, mathematics, or statistics, which satisfies the minimum requirements for either category under PERM.
How does green card sponsorship differ from H-1B sponsorship for ML Engineers?
H-1B visa ties you to a specific employer on a temporary, renewable status and subjects you to the annual lottery. Green card sponsorship through PERM leads to permanent residency with no cap concerns at the EB-3 level for many countries and no renewal cycle. The tradeoff is time: PERM, I-140, and adjustment of status together can take two to four years for most nationalities, compared to a few months for an H-1B approval.
How do I find Machine Learning Engineer jobs where the employer will sponsor a green card?
Migrate Mate lets you filter ML Engineer roles by employers who have a documented history of PERM and I-140 sponsorship for this specific job title. That's more reliable than asking during a cold application, since many companies sponsor for some roles but not others depending on the team, budget, and headcount.
What does the PERM labor certification process look like for an ML Engineer role?
Your employer must conduct a supervised recruitment process to prove no qualified U.S. workers are available for the role at the offered wage. DOL reviews the documentation and, if certified, issues a PERM approval that the employer then uses to file an I-140 immigrant petition with USCIS on your behalf. The full PERM stage alone currently averages several months to over a year depending on whether an audit is triggered.
Can I change jobs while my green card is pending as an ML Engineer?
Once your I-140 is approved and your priority date is current, portability rules under AC21 allow you to change to a same or similar role without restarting the process. Machine Learning Engineer and related ML-focused titles are generally considered similar enough to support portability, but you'll want your new employer and immigration counsel to confirm the SOC code alignment before you switch.