AI ML Engineer Green Card Jobs
AI ML Engineer roles qualify for EB-2 or EB-3 green card sponsorship through the PERM labor certification process, which requires your employer to document that no qualified U.S. workers are available for the position. Most roles in machine learning and AI infrastructure meet specialty occupation standards, making employer-sponsored permanent residency a realistic path for qualified foreign professionals.
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Get Access To All JobsWe believe in the power and joy of learning
At Cengage, our employees have a direct impact in helping students around the world discover the power and joy of learning. We are bonded by our shared purpose – driving innovation that helps millions of learners improve their lives and achieve their dreams through education.
Cengage's portfolio of businesses supports student choice by providing a range of pathways that help learners achieve their goals and lead a choice-filled life.
Our culture values inclusion, engagement, and discovery
Our business is driven by our strong culture, and we know that creating an inclusive workplace is absolutely essential to the success of our company and our learners, as well as our individual well-being. We recognize the value of diverse perspectives in everything we do, and strive to ensure employees of all levels and backgrounds feel empowered to voice their ideas and bring their authentic selves to work. We achieve these priorities through programs, benefits, and initiatives that are integrated into the fabric of how we work every day. To learn more, please see https://www.cengagegroup.com/about/inclusion-and-belonging/.
The AI/ML Engineer – Work builds AI-driven workforce and skills-based capabilities for Cengage's career and learning products. You will develop the models and systems that infer skills, verify competencies, and power skills-based matching and recommendations — the capabilities that underpin Cengage's skills graph and workforce platforms including Skills Verification.
This role requires a builder who is excited about applied ML for skills, career, and learning data. The ideal candidate has worked on matching, ranking, recommendation, or representation learning problems, understands the workforce and skills domain, and can ship production ML features that meaningfully improve learner career outcomes.
Key Responsibilities
Skills & Workforce AI Development
- Develop skills inference models that extract competencies from content, assessments, and learner activity
- Build skills verification models powering the Skills Verification platform
- Create skills-based matching and recommendation systems for jobs, courses, and learning paths
- Develop career pathway recommendation and skills gap analysis features
- Integrate AI into Cengage workforce platforms including Infosec Skills and IQ
Platform Integration & Engineering
- Integrate AI into workforce platforms including content, assessment, and lab systems
- Enable skills-based matching and recommendations across Cengage's workforce ecosystem
- Partner with platform engineering on API design, scaling, and production deployment
- Align to the NICE Framework and other recognized skills taxonomies where applicable
- Build evaluation and monitoring systems to measure and improve model accuracy and performance
Measurement & Business Impact
- Track skills verification accuracy, recommendation quality, and adoption of AI-driven career tools
- Partner with product and data science on offline and online evaluation
- Drive integration completeness across Cengage's workforce product suite
- Maintain feature delivery cadence with weekly shipping discipline
- Partner with Governance on patent and IP considerations for novel approaches
Required Qualifications
- Bachelor's degree in Computer Science, Engineering, or related field
- 4+ years of experience in software engineering, with at least 2 years focused on AI/ML
- Strong proficiency in Python with experience building production ML systems
- Hands-on experience with modern ML techniques including embeddings, ranking, and LLMs
- Experience with recommendation systems, matching, or representation learning
- Solid software engineering fundamentals including testing, CI/CD, and system design
- Experience with offline and online model evaluation
- Strong communication skills to work with product, data science, and platform teams
Preferred Qualifications
- Prior experience in workforce tech, HR tech, or skills-based matching platforms
- Familiarity with skills taxonomies (NICE Framework, O*NET, ESCO, Lightcast)
- Experience with LLMs for classification, extraction, and zero-shot matching
- Background in cybersecurity education or adjacent technical learning domains
- Experience with behavioral pattern analysis or competency assessment
- Familiarity with agentic AI frameworks (LangChain, LlamaIndex)
Tools & Technologies
You should be comfortable with many of the following:
- Languages: Python, JavaScript/TypeScript, SQL
- AI/ML: PyTorch, TensorFlow, Hugging Face, OpenAI API, Anthropic API
- ML Infra: AWS SageMaker, MLflow, Weights & Biases, Ray
- Vector DBs: Pinecone, Weaviate, pgvector
- Data: Snowflake, Databricks, Postgres, Spark
- DevOps: Docker, Terraform, GitHub Actions, CI/CD pipelines
Key Competencies
- ML Craft — fluent across classical ML and modern LLM-based approaches
- Product Orientation — connects model improvements to learner and user outcomes
- Shipping Mindset — delivers on weekly cadence with measured impact
- Domain Curiosity — invests in understanding skills, workforce, and career dynamics
- Evaluation Rigor — designs offline and online evaluation thoughtfully
- Collaboration — partners effectively with product, research, and platform engineering
What We Offer
- Opportunity to shape AI at scale across a global learning company
- Direct impact on business outcomes, product, and workforce productivity
- Access to cutting-edge AI tools, platforms, and technologies
- Collaborative team environment focused on innovation and continuous improvement
- Competitive compensation and comprehensive benefits
- Professional development and learning opportunities
Flexible work arrangements with remote/hybrid options
Cengage is committed to working with broad talent pools to attract and hire strong and most qualified individuals. Our job applicants are considered regardless of any classification protected by applicable federal, state, provincial or local laws.
Cengage is also committed to providing reasonable accommodations for qualified individuals with disabilities including during our job application process. If you are an applicant with a disability and require reasonable accommodation in our job application process, please contact us at accommodations.ta@cengage.com.
About Cengage
Cengage, a global education technology company serving millions of learners, provides affordable, quality digital products and services that equip students with the skills and competencies needed to be job ready. For more than 100 years, we have enabled the power and joy of learning with trusted, engaging content, and now, integrated digital platforms. We serve the higher education, workforce skills, secondary education, English language teaching and research markets worldwide. Through our scalable technology, including MindTap and Cengage Unlimited, we support all learners who seek to improve their lives and achieve their dreams through education.
Compensation
At Cengage Group, we take great pride in our commitment to providing a comprehensive and rewarding Total Rewards package designed to support and empower our employees. Click here to learn more about our Total Rewards Philosophy.
The full base pay range has been provided for this position. Individual base pay will vary based on work schedule, qualifications, experience, internal equity, and geographic location. Sales roles often incorporate a significant incentive compensation program beyond this base pay range.
In this position, you will be eligible to participate in the company’s discretionary incentive bonus program. This position's bonus target amount, which is not guaranteed and is dependent on individual performance and overall company results among other factors, is provided below.
10% Annual: Individual Target
$150,000.00 - $200,000.00 USD
We believe in the power and joy of learning
At Cengage, our employees have a direct impact in helping students around the world discover the power and joy of learning. We are bonded by our shared purpose – driving innovation that helps millions of learners improve their lives and achieve their dreams through education.
Cengage's portfolio of businesses supports student choice by providing a range of pathways that help learners achieve their goals and lead a choice-filled life.
Our culture values inclusion, engagement, and discovery
Our business is driven by our strong culture, and we know that creating an inclusive workplace is absolutely essential to the success of our company and our learners, as well as our individual well-being. We recognize the value of diverse perspectives in everything we do, and strive to ensure employees of all levels and backgrounds feel empowered to voice their ideas and bring their authentic selves to work. We achieve these priorities through programs, benefits, and initiatives that are integrated into the fabric of how we work every day. To learn more, please see https://www.cengagegroup.com/about/inclusion-and-belonging/.
The AI/ML Engineer – Work builds AI-driven workforce and skills-based capabilities for Cengage's career and learning products. You will develop the models and systems that infer skills, verify competencies, and power skills-based matching and recommendations — the capabilities that underpin Cengage's skills graph and workforce platforms including Skills Verification.
This role requires a builder who is excited about applied ML for skills, career, and learning data. The ideal candidate has worked on matching, ranking, recommendation, or representation learning problems, understands the workforce and skills domain, and can ship production ML features that meaningfully improve learner career outcomes.
Key Responsibilities
Skills & Workforce AI Development
- Develop skills inference models that extract competencies from content, assessments, and learner activity
- Build skills verification models powering the Skills Verification platform
- Create skills-based matching and recommendation systems for jobs, courses, and learning paths
- Develop career pathway recommendation and skills gap analysis features
- Integrate AI into Cengage workforce platforms including Infosec Skills and IQ
Platform Integration & Engineering
- Integrate AI into workforce platforms including content, assessment, and lab systems
- Enable skills-based matching and recommendations across Cengage's workforce ecosystem
- Partner with platform engineering on API design, scaling, and production deployment
- Align to the NICE Framework and other recognized skills taxonomies where applicable
- Build evaluation and monitoring systems to measure and improve model accuracy and performance
Measurement & Business Impact
- Track skills verification accuracy, recommendation quality, and adoption of AI-driven career tools
- Partner with product and data science on offline and online evaluation
- Drive integration completeness across Cengage's workforce product suite
- Maintain feature delivery cadence with weekly shipping discipline
- Partner with Governance on patent and IP considerations for novel approaches
Required Qualifications
- Bachelor's degree in Computer Science, Engineering, or related field
- 4+ years of experience in software engineering, with at least 2 years focused on AI/ML
- Strong proficiency in Python with experience building production ML systems
- Hands-on experience with modern ML techniques including embeddings, ranking, and LLMs
- Experience with recommendation systems, matching, or representation learning
- Solid software engineering fundamentals including testing, CI/CD, and system design
- Experience with offline and online model evaluation
- Strong communication skills to work with product, data science, and platform teams
Preferred Qualifications
- Prior experience in workforce tech, HR tech, or skills-based matching platforms
- Familiarity with skills taxonomies (NICE Framework, O*NET, ESCO, Lightcast)
- Experience with LLMs for classification, extraction, and zero-shot matching
- Background in cybersecurity education or adjacent technical learning domains
- Experience with behavioral pattern analysis or competency assessment
- Familiarity with agentic AI frameworks (LangChain, LlamaIndex)
Tools & Technologies
You should be comfortable with many of the following:
- Languages: Python, JavaScript/TypeScript, SQL
- AI/ML: PyTorch, TensorFlow, Hugging Face, OpenAI API, Anthropic API
- ML Infra: AWS SageMaker, MLflow, Weights & Biases, Ray
- Vector DBs: Pinecone, Weaviate, pgvector
- Data: Snowflake, Databricks, Postgres, Spark
- DevOps: Docker, Terraform, GitHub Actions, CI/CD pipelines
Key Competencies
- ML Craft — fluent across classical ML and modern LLM-based approaches
- Product Orientation — connects model improvements to learner and user outcomes
- Shipping Mindset — delivers on weekly cadence with measured impact
- Domain Curiosity — invests in understanding skills, workforce, and career dynamics
- Evaluation Rigor — designs offline and online evaluation thoughtfully
- Collaboration — partners effectively with product, research, and platform engineering
What We Offer
- Opportunity to shape AI at scale across a global learning company
- Direct impact on business outcomes, product, and workforce productivity
- Access to cutting-edge AI tools, platforms, and technologies
- Collaborative team environment focused on innovation and continuous improvement
- Competitive compensation and comprehensive benefits
- Professional development and learning opportunities
Flexible work arrangements with remote/hybrid options
Cengage is committed to working with broad talent pools to attract and hire strong and most qualified individuals. Our job applicants are considered regardless of any classification protected by applicable federal, state, provincial or local laws.
Cengage is also committed to providing reasonable accommodations for qualified individuals with disabilities including during our job application process. If you are an applicant with a disability and require reasonable accommodation in our job application process, please contact us at accommodations.ta@cengage.com.
About Cengage
Cengage, a global education technology company serving millions of learners, provides affordable, quality digital products and services that equip students with the skills and competencies needed to be job ready. For more than 100 years, we have enabled the power and joy of learning with trusted, engaging content, and now, integrated digital platforms. We serve the higher education, workforce skills, secondary education, English language teaching and research markets worldwide. Through our scalable technology, including MindTap and Cengage Unlimited, we support all learners who seek to improve their lives and achieve their dreams through education.
Compensation
At Cengage Group, we take great pride in our commitment to providing a comprehensive and rewarding Total Rewards package designed to support and empower our employees. Click here to learn more about our Total Rewards Philosophy.
The full base pay range has been provided for this position. Individual base pay will vary based on work schedule, qualifications, experience, internal equity, and geographic location. Sales roles often incorporate a significant incentive compensation program beyond this base pay range.
In this position, you will be eligible to participate in the company’s discretionary incentive bonus program. This position's bonus target amount, which is not guaranteed and is dependent on individual performance and overall company results among other factors, is provided below.
10% Annual: Individual Target
$150,000.00 - $200,000.00 USD
See all 3,691+ AI ML Engineer jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI ML Engineer roles.
Get Access To All JobsTips for Finding Green Card Sponsorship as an AI ML Engineer
Align your credentials to PERM requirements
PERM requires your employer to define a minimum education requirement for the role. A master's degree in computer science, statistics, or a related field strengthens EB-2 eligibility, while a relevant bachelor's degree supports EB-3 filing without advanced-degree documentation gaps.
Target employers with active I-140 history
Search for companies that have filed I-140 petitions for ML and AI roles before. Prior filings show an employer already has PERM infrastructure in place, which shortens your internal approval timeline and reduces the chance they abandon sponsorship mid-process.
Use Migrate Mate to find AI ML roles with verified green card sponsorship
Search Migrate Mate to filter AI ML Engineer positions by employers with documented PERM and I-140 filing history. This saves weeks of guesswork and surfaces roles where sponsorship is already part of the hiring process, not a future negotiation.
Verify prevailing wage classification during offer review
Your employer must pay at least the DOL prevailing wage for your role and location. Run the OFLC Wage Search before your offer stage to confirm the wage level matches your actual responsibilities, since a Level I wage on a senior ML role can trigger PERM audits.
Negotiate PERM filing start date explicitly in your offer
Employers are not required to begin PERM immediately after hire. Ask during the offer stage for a written commitment on when they'll initiate the labor certification process, since delays past your first year push back your entire green card timeline.
AI ML Engineer jobs are hiring across the US. Find yours.
Find AI ML Engineer JobsAI ML Engineer Green Card Sponsorship: Frequently Asked Questions
Does an AI ML Engineer role qualify for EB-2 or EB-3 sponsorship?
Most AI ML Engineer positions qualify under EB-2 if the role requires a master's degree or equivalent, or under EB-3 as a skilled worker if a bachelor's degree is the stated minimum. The determining factor is how your employer defines the position's requirements in the PERM labor certification, not just your own credentials. O*NET classifies software and ML roles in Job Zone 4 or 5, which supports specialty occupation arguments at both tiers.
How does green card sponsorship differ from H-1B sponsorship for this role?
H-1B sponsorship is temporary and subject to an annual lottery, while EB-2 and EB-3 green card sponsorship leads to permanent residency with no annual cap on approvals. The PERM process requires your employer to run a formal recruitment test showing no qualified U.S. workers are available, which H-1B does not require. Green card timelines are longer overall, but the outcome is lawful permanent residency rather than a status you must continuously renew.
What does the PERM labor certification process involve for ML roles?
PERM requires your employer to conduct a DOL-prescribed recruitment campaign, document the results, and certify that no qualified U.S. workers applied for the position. For AI ML Engineer roles, the job requirements must be customary for the industry, meaning the employer can't inflate requirements to fit only you. After PERM certification, your employer files an I-140 petition with USCIS to establish your priority date.
How long does the green card process typically take for an AI ML Engineer?
PERM labor certification currently averages well over a year at DOL, and I-140 processing adds additional months at USCIS. If you're from a country without a visa backlog, adjustment of status can follow relatively quickly after I-140 approval. If you're from India or China, EB-2 and EB-3 backlogs can extend the total timeline by many years, so your priority date matters as much as your approval.
Where can I find AI ML Engineer jobs that already offer green card sponsorship?
Migrate Mate lets you search AI ML Engineer positions filtered by employers with verified PERM and I-140 filing history, so you're not applying speculatively and discovering later that sponsorship isn't available. Finding employers who have already run the PERM process for similar roles is the most reliable signal that they'll do it again for you.
See which AI ML Engineer employers are hiring and sponsoring visas right now.
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