Green Card AI ML Engineering Jobs
AI ML Engineering roles qualify for green card sponsorship under EB-2 for advanced-degree professionals and EB-3 for skilled practitioners. Employers file a PERM labor certification with DOL before petitioning USCIS, locking in your priority date and building toward permanent residency rather than a temporary visa tied to annual renewals.
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Illumio is the leader in ransomware and breach containment, redefining how organizations contain cyberattacks and enable operational resilience. Powered by the Illumio AI Security Graph, our breach containment platform identifies and contains threats across hybrid multi-cloud environments – stopping the spread of attacks before they become disasters.
Recognized as a Leader in the Forrester Wave for Microsegmentation, Illumio enables Zero Trust, strengthening cyber resilience for the infrastructure, systems, and organizations that keep the world running.
Location: 4 on-site days a week in Sunnyvale, CA Headquarters.
Our Team's Vision:
The Office of the CTO and Security team sets the strategic technical direction of the company while keeping both Illumio and our customers secure. Those who join us represent the leader in Zero Trust Segmentation and maintain Illumio’s competitive advantage by exploring new technologies while collaborating with Engineering and Product Management.
We are looking for people who leverage differences and push the pace of innovation in a time when the world faces its greatest cybersecurity threats in history.
About the Role
We're seeking a Staff Security ML Researcher to develop machine learning-driven approaches for threat detection, risk assessment, and security analytics. In this role, you'll apply advanced statistical methods, machine learning, and graph-based analysis to identify threats, model attacker behavior, and quantify cyber risk across complex enterprise environments.
Working at the intersection of cybersecurity, machine learning, and product innovation, you'll partner with threat researchers, engineers, and product teams to transform large-scale security data into intelligent models, actionable insights, and customer-facing capabilities that help organizations better understand and reduce cyber risk.
Your Impact:
Machine Learning & Security Intelligence
- Design, develop, and deploy machine learning models that identify anomalous behavior, detect threats, and predict security risk across complex enterprise environments.
- Apply statistical techniques and predictive modeling to evaluate breach likelihood, attack exposure, and segmentation effectiveness.
- Build behavioral profiling, anomaly detection, clustering, classification, and forecasting models using large-scale security telemetry.
- Evaluate model performance, reduce false positives, and continuously improve detection quality through experimentation and data-driven analysis.
Threat Research & Risk Modeling
- Analyze large-scale security datasets to identify attacker behaviors, emerging threats, and patterns aligned to frameworks such as MITRE ATT&CK.
- Develop threat scoring and risk assessment models that help customers prioritize remediation and security investments.
- Leverage graph-based analysis techniques to model attack paths, quantify lateral movement risk, and recommend mitigation strategies.
- Work closely with threat researchers to transform security intelligence into measurable detection and prediction capabilities.
Data Science & Analytics Engineering
- Design and maintain scalable data pipelines used for model training, validation, and analytics.
- Investigate new features, signals, and telemetry sources to improve detection accuracy and risk predictions.
- Partner with engineers to productionize models and analytics systems while ensuring scalability, reliability, and observability.
- Conduct experiments and hypothesis-driven analysis to validate new detection approaches and security insights.
Product Collaboration & Innovation
- Collaborate with product managers, designers, and engineers to embed ML-driven security insights into customer-facing experiences.
- Influence product strategy through data-backed recommendations and threat intelligence findings.
- Help define security analytics frameworks, data requirements, and detection methodologies for future product capabilities.
- Serve as a subject matter expert on the use of machine learning in cybersecurity applications.
Research & Thought Leadership
- Explore emerging techniques in machine learning, graph analytics, and AI-driven threat detection.
- Investigate applications of graph neural networks, probabilistic modeling, and advanced analytics for cyber defense.
- Contribute to patents, technical publications, conference presentations, and thought leadership initiatives.
- Stay current on advancements in cybersecurity, machine learning, and adversary tradecraft to continuously evolve Illumio's detection capabilities.
Your Toolkit:
Required Qualifications
- 5+ years of experience in security analytics, threat research, detection engineering or data science, machine learning
- Strong Python programming skills, including experience with data science and machine learning frameworks such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch.
- Experience designing, training, validating, and deploying machine learning or statistical models in production environments.
- Proven ability to work with large-scale telemetry datasets from security, networking, cloud, or infrastructure environments.
- Strong understanding of model evaluation, feature engineering, experimentation, and handling imbalanced datasets.
- Experience applying analytics or machine learning techniques to cybersecurity problems such as anomaly detection, behavioral analysis, threat hunting, or risk assessment.
- Familiarity with security frameworks such as MITRE ATT&CK and common security telemetry sources.
- Strong SQL and data querying skills.
- Excellent communication skills with experience translating technical findings into actionable business and product recommendations.
Preferred Qualifications
- 7-10+ years of experience spanning cybersecurity, machine learning, data science, or threat research.
- Experience building graph-based security analytics using Neo4j, graph databases, or graph algorithms.
- Knowledge of graph machine learning techniques, including graph neural networks or link prediction methods.
- Experience productionizing ML models in cloud environments using AWS, Kubernetes, or similar platforms.
- Experience developing risk-scoring systems, recommendation engines, or predictive analytics solutions.
- MS or PhD in Computer Science, Data Science, Machine Learning, Cybersecurity, Statistics, or a related field.
Bonus Points:
- Background at a cybersecurity company focused on cloud security, network security, endpoint security, or threat intelligence.
- Experience integrating external threat intelligence feeds and enrichment data into ML workflows.
- Publications, patents, open-source contributions, or conference presentations related to security or applied machine learning.
- Industry certifications such as CISSP, GIAC, or advanced machine learning credentials.
LI-PO1 #LI-ONSITE
Our Commitment
Illumio believes that an environment of unique backgrounds, experiences, viewpoints, and individual contributions creates a culture of belonging, drives our future, and makes us stronger together in support of our customers and their success.
All official job offers from our company are extended directly by our recruitment team and will be sent through an official E-Signature document for your review and signature. Please be aware that we do not ask for any personal information in the process of extending offers of employment, such as financial details or social security numbers. Upon acceptance of any offer, we will request such information as part of the onboarding process prior to or on your first day of employment, and only after completing a background check through an authorized third-party vendor. If you receive any communication asking for personal details outside of these processes, please contact us immediately to verify the authenticity of the request. Your security is important to us, and we are committed to a safe and transparent hiring experience.
For roles in San Francisco and Los Angeles: Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Illumio will consider for employment qualified applicants with arrest and conviction records.
Compensation Range: $221K - $265K
Onwards Together!
Illumio is the leader in ransomware and breach containment, redefining how organizations contain cyberattacks and enable operational resilience. Powered by the Illumio AI Security Graph, our breach containment platform identifies and contains threats across hybrid multi-cloud environments – stopping the spread of attacks before they become disasters.
Recognized as a Leader in the Forrester Wave for Microsegmentation, Illumio enables Zero Trust, strengthening cyber resilience for the infrastructure, systems, and organizations that keep the world running.
Location: 4 on-site days a week in Sunnyvale, CA Headquarters.
Our Team's Vision:
The Office of the CTO and Security team sets the strategic technical direction of the company while keeping both Illumio and our customers secure. Those who join us represent the leader in Zero Trust Segmentation and maintain Illumio’s competitive advantage by exploring new technologies while collaborating with Engineering and Product Management.
We are looking for people who leverage differences and push the pace of innovation in a time when the world faces its greatest cybersecurity threats in history.
About the Role
We're seeking a Staff Security ML Researcher to develop machine learning-driven approaches for threat detection, risk assessment, and security analytics. In this role, you'll apply advanced statistical methods, machine learning, and graph-based analysis to identify threats, model attacker behavior, and quantify cyber risk across complex enterprise environments.
Working at the intersection of cybersecurity, machine learning, and product innovation, you'll partner with threat researchers, engineers, and product teams to transform large-scale security data into intelligent models, actionable insights, and customer-facing capabilities that help organizations better understand and reduce cyber risk.
Your Impact:
Machine Learning & Security Intelligence
- Design, develop, and deploy machine learning models that identify anomalous behavior, detect threats, and predict security risk across complex enterprise environments.
- Apply statistical techniques and predictive modeling to evaluate breach likelihood, attack exposure, and segmentation effectiveness.
- Build behavioral profiling, anomaly detection, clustering, classification, and forecasting models using large-scale security telemetry.
- Evaluate model performance, reduce false positives, and continuously improve detection quality through experimentation and data-driven analysis.
Threat Research & Risk Modeling
- Analyze large-scale security datasets to identify attacker behaviors, emerging threats, and patterns aligned to frameworks such as MITRE ATT&CK.
- Develop threat scoring and risk assessment models that help customers prioritize remediation and security investments.
- Leverage graph-based analysis techniques to model attack paths, quantify lateral movement risk, and recommend mitigation strategies.
- Work closely with threat researchers to transform security intelligence into measurable detection and prediction capabilities.
Data Science & Analytics Engineering
- Design and maintain scalable data pipelines used for model training, validation, and analytics.
- Investigate new features, signals, and telemetry sources to improve detection accuracy and risk predictions.
- Partner with engineers to productionize models and analytics systems while ensuring scalability, reliability, and observability.
- Conduct experiments and hypothesis-driven analysis to validate new detection approaches and security insights.
Product Collaboration & Innovation
- Collaborate with product managers, designers, and engineers to embed ML-driven security insights into customer-facing experiences.
- Influence product strategy through data-backed recommendations and threat intelligence findings.
- Help define security analytics frameworks, data requirements, and detection methodologies for future product capabilities.
- Serve as a subject matter expert on the use of machine learning in cybersecurity applications.
Research & Thought Leadership
- Explore emerging techniques in machine learning, graph analytics, and AI-driven threat detection.
- Investigate applications of graph neural networks, probabilistic modeling, and advanced analytics for cyber defense.
- Contribute to patents, technical publications, conference presentations, and thought leadership initiatives.
- Stay current on advancements in cybersecurity, machine learning, and adversary tradecraft to continuously evolve Illumio's detection capabilities.
Your Toolkit:
Required Qualifications
- 5+ years of experience in security analytics, threat research, detection engineering or data science, machine learning
- Strong Python programming skills, including experience with data science and machine learning frameworks such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch.
- Experience designing, training, validating, and deploying machine learning or statistical models in production environments.
- Proven ability to work with large-scale telemetry datasets from security, networking, cloud, or infrastructure environments.
- Strong understanding of model evaluation, feature engineering, experimentation, and handling imbalanced datasets.
- Experience applying analytics or machine learning techniques to cybersecurity problems such as anomaly detection, behavioral analysis, threat hunting, or risk assessment.
- Familiarity with security frameworks such as MITRE ATT&CK and common security telemetry sources.
- Strong SQL and data querying skills.
- Excellent communication skills with experience translating technical findings into actionable business and product recommendations.
Preferred Qualifications
- 7-10+ years of experience spanning cybersecurity, machine learning, data science, or threat research.
- Experience building graph-based security analytics using Neo4j, graph databases, or graph algorithms.
- Knowledge of graph machine learning techniques, including graph neural networks or link prediction methods.
- Experience productionizing ML models in cloud environments using AWS, Kubernetes, or similar platforms.
- Experience developing risk-scoring systems, recommendation engines, or predictive analytics solutions.
- MS or PhD in Computer Science, Data Science, Machine Learning, Cybersecurity, Statistics, or a related field.
Bonus Points:
- Background at a cybersecurity company focused on cloud security, network security, endpoint security, or threat intelligence.
- Experience integrating external threat intelligence feeds and enrichment data into ML workflows.
- Publications, patents, open-source contributions, or conference presentations related to security or applied machine learning.
- Industry certifications such as CISSP, GIAC, or advanced machine learning credentials.
LI-PO1 #LI-ONSITE
Our Commitment
Illumio believes that an environment of unique backgrounds, experiences, viewpoints, and individual contributions creates a culture of belonging, drives our future, and makes us stronger together in support of our customers and their success.
All official job offers from our company are extended directly by our recruitment team and will be sent through an official E-Signature document for your review and signature. Please be aware that we do not ask for any personal information in the process of extending offers of employment, such as financial details or social security numbers. Upon acceptance of any offer, we will request such information as part of the onboarding process prior to or on your first day of employment, and only after completing a background check through an authorized third-party vendor. If you receive any communication asking for personal details outside of these processes, please contact us immediately to verify the authenticity of the request. Your security is important to us, and we are committed to a safe and transparent hiring experience.
For roles in San Francisco and Los Angeles: Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Illumio will consider for employment qualified applicants with arrest and conviction records.
Compensation Range: $221K - $265K
See all 1,852+ Green Card AI ML Engineering Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Green Card AI ML Engineering Jobs.
Get Access To All JobsTips for Finding Green Card Sponsorship in AI ML Engineering
Document your ML credentials before applying
PERM requires proving your qualifications match the job's minimum requirements exactly. Gather transcripts, publications, patents, and employer letters that map your ML experience to the specific SOC code your role will be filed under.
Check if your role qualifies for EB-2
AI ML Engineering positions frequently require a master's degree or its equivalent in computer science or a related field. Confirm your employer intends to file under EB-2 before accepting an offer, since EB-2 priority dates move faster for most nationalities.
Target employers with active PERM filing history
Use Migrate Mate to filter AI ML Engineering roles by employers who have actively filed PERM labor certifications, so you spend your time on companies that already sponsor green cards rather than those still figuring out the process.
Ask about concurrent filing eligibility early
If your priority date is current when your I-140 is approved, your employer can file the I-485 adjustment of status concurrently. For Indian and Chinese nationals in EB-2, this is rarely immediate, so start PERM discussions as early as possible.
Verify your employer uses E-Verify before signing
DOL requires PERM employers to post job notices and complete a good-faith recruitment process. E-Verify enrollment signals the employer has the HR infrastructure to handle sponsored hires, which reduces the risk of a PERM audit derailing your timeline.
Use OFLC Wage Search to negotiate your offer
PERM locks your offered wage at or above the DOL prevailing wage for your SOC code and location. Run the OFLC Wage Search before negotiating so you know the floor, and confirm your offer letter reflects that certified wage level.
Green Card AI ML Engineering: Frequently Asked Questions
Does an AI ML Engineering role typically qualify as a specialty occupation for green card purposes?
Yes. AI ML Engineering positions routinely require at minimum a bachelor's degree in computer science, mathematics, or a closely related field, which meets USCIS's specialty occupation standard. Roles involving model architecture, training pipelines, or ML infrastructure typically satisfy EB-2 requirements when the employer mandates an advanced degree, and EB-3 when a bachelor's degree is the minimum requirement.
How does PERM green card sponsorship differ from H-1B for AI ML professionals?
H-1B visa is a temporary work visa with a three-year initial period, an annual lottery, and no guaranteed path to permanency. PERM green card sponsorship is a multi-step permanent residency process starting with DOL labor certification, followed by an I-140 immigrant petition, and then adjustment of status or consular processing. There is no lottery at the EB-2 or EB-3 level, though nationals of India and China face priority-date backlogs that can extend timelines significantly.
Which EB category is more common for AI ML Engineering roles, EB-2 or EB-3?
EB-2 is more common for senior and research-focused AI ML roles where the employer genuinely requires an advanced degree. EB-3 covers roles where a bachelor's degree is the stated minimum. Your employer's immigration counsel will determine the category based on the actual job duties and minimum requirements set before PERM recruitment begins, not on your personal credentials.
How can I find AI ML Engineering jobs where the employer already sponsors green cards?
Migrate Mate lets you search AI ML Engineering roles specifically filtered by employers with active PERM and I-140 filing history, so you can identify companies that have already navigated the sponsorship process. This is more reliable than asking recruiters upfront, since many hiring managers don't know their own company's PERM history until HR confirms it.
What happens to my green card case if I change employers during the PERM process?
Changing employers before your I-140 is approved restarts the PERM process entirely. Once your I-140 has been approved for at least 180 days, AC21 portability lets you move to a new employer in a same or similar occupational classification without losing your priority date. For AI ML professionals, this typically means staying within SOC codes covering software development or computer and information research science roles.