H-1B1 Chile Visa AI Jobs
H-1B1 Chile visa sponsorship lets Chilean AI professionals enter the U.S. job market without a lottery. The annual 1,400-visa cap rarely fills, and you apply directly at the consulate after securing a job offer in machine learning, computer vision, NLP, or a related specialty occupation.
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JPMorganChase AI Research is a global team of research scientists, engineers and product managers that develops novel AI capabilities and partners across the firm to translate breakthrough AI/ML techniques into deployed solutions. The team brings together researchers across multi-agent systems, foundation model training, reinforcement and continual learning, multimodal document AI, formal reasoning, planning and verification, and synthetic data generation - alongside experts in trustworthy AI, privacy, and cryptography - to solve hard problems end-to-end in ways that are secure, reliable, and scalable in financial services. AI Research sits within the Chief Data & Analytics Office (CDAO) at JPMorganChase which is responsible for accelerating the firm's data and analytics journey. This includes ensuring the quality, integrity, and security of the firm's data, as well as leveraging this data to generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutions that support the firm's commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management, effectively and responsibly. As an Executive Director / Research Director in AI Research, you will work on developing novel techniques, tools, and frameworks to model and solve complex large-scale problems in the bank. You will develop a close understanding of the challenges in practical applications of AI and leverage that understanding to formulate new research directions and solutions that can shift the frontier. Your work will span from early-stage innovation and rigorous evaluation to production-scale delivery in close collaboration with engineering and product teams.
Job Responsibilities
- Work on multiple commercially oriented research projects in collaboration with internal data scientists, applied engineering teams and stakeholders across businesses e.g. Commercial & Investment Banking (including Markets), Asset & Wealth Management, Consumer & Community Banking, etc.
- Formulate problems, generate hypotheses, develop new algorithms and models, conduct experiments and rigorous evaluations, synthesize and communicate results, and deliver well-tested, high-quality code.
- Contribute to high-impact business applications, reusable assets and products, and research initiatives.
- Provide thought leadership on internal and external forums through white papers, publications and presentations.
- Own a portfolio of capabilities, drive strategic directions and prioritization within the portfolio including business stakeholder engagement, development of relevant reusable capabilities or products, and initiation of new research initiatives that can drive business impact.
Required Qualifications, Capabilities, And Skills
- PhD in Computer Science, Engineering, or related fields with relevant research experience in AI/ML and 5+ years of relevant work experience
- Research publications in top-tier AI/ML venues (e.g., conferences, journals) – broad conferences such as NeurIPS, ICML, ICLR, etc., or highly regarded specialized conferences such as ICAPS, CRYPTO, etc.
- Deep understanding of fundamental AI/ML techniques and a strong grasp of current state of the art in specific areas of expertise
- Practical experience with statistical data analysis, experimental design and creation of meaningful benchmarks and metrics for evaluation.
- Effective verbal and written communication skills with the ability to address both technical and business audiences.
- Practical software development experience in collaborative project settings such as open-source projects or industry experience. Ability to deliver modular, optimized, high-quality Python code with tests.
- Proven ability to translate business requirements into technical problem formations and deliver novel solutions into production. Motivated to make an impact on problems in the financial services domain. Curiosity, creativity, resourcefulness, and a collaborative spirit
- We are looking for researchers across multiple areas of specialization, including: Synthetic Data Generation across multiple modalities (tabular, images, time-series, etc.), synthetic personas and agent simulations. Multimodal agent security and safety, alignment, guardrails, red teaming, data privacy and unlearning. Continual learning for agents (e.g. memory-based, model-based including reinforcement learning and post-training). Advanced multi-agent systems including coordination, negotiation, deep research, and hybrid/neuro-symbolic approaches. Foundation model training for tabular, time-series, language and other modalities. Multimodal information discovery, understanding and predictive modeling spanning multiple modalities e.g. websites, news, audio, speech, documents, images, etc. Formal methods (e.g., temporal logic, constraint programming, model checking, automated planning, theorem proving, SMT/SAT solving) and program/hardware verification.
Preferred Qualifications, Capabilities, And Skills
- Practical experience with ML libraries (e.g. PyTorch, TensorFlow/Keras, HuggingFace Transformers etc.) and agent frameworks (e.g. LangGraph, Google ADK, etc.)
- Familiarity with common formal verification tools and languages (e.g., Coq/Isabelle/Lean, TLA+, Alloy, Z3, PDDL)
About us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
About The Team
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
Job Description
JPMorganChase AI Research is a global team of research scientists, engineers and product managers that develops novel AI capabilities and partners across the firm to translate breakthrough AI/ML techniques into deployed solutions. The team brings together researchers across multi-agent systems, foundation model training, reinforcement and continual learning, multimodal document AI, formal reasoning, planning and verification, and synthetic data generation - alongside experts in trustworthy AI, privacy, and cryptography - to solve hard problems end-to-end in ways that are secure, reliable, and scalable in financial services. AI Research sits within the Chief Data & Analytics Office (CDAO) at JPMorganChase which is responsible for accelerating the firm's data and analytics journey. This includes ensuring the quality, integrity, and security of the firm's data, as well as leveraging this data to generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutions that support the firm's commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management, effectively and responsibly. As an Executive Director / Research Director in AI Research, you will work on developing novel techniques, tools, and frameworks to model and solve complex large-scale problems in the bank. You will develop a close understanding of the challenges in practical applications of AI and leverage that understanding to formulate new research directions and solutions that can shift the frontier. Your work will span from early-stage innovation and rigorous evaluation to production-scale delivery in close collaboration with engineering and product teams.
Job Responsibilities
- Work on multiple commercially oriented research projects in collaboration with internal data scientists, applied engineering teams and stakeholders across businesses e.g. Commercial & Investment Banking (including Markets), Asset & Wealth Management, Consumer & Community Banking, etc.
- Formulate problems, generate hypotheses, develop new algorithms and models, conduct experiments and rigorous evaluations, synthesize and communicate results, and deliver well-tested, high-quality code.
- Contribute to high-impact business applications, reusable assets and products, and research initiatives.
- Provide thought leadership on internal and external forums through white papers, publications and presentations.
- Own a portfolio of capabilities, drive strategic directions and prioritization within the portfolio including business stakeholder engagement, development of relevant reusable capabilities or products, and initiation of new research initiatives that can drive business impact.
Required Qualifications, Capabilities, And Skills
- PhD in Computer Science, Engineering, or related fields with relevant research experience in AI/ML and 5+ years of relevant work experience
- Research publications in top-tier AI/ML venues (e.g., conferences, journals) – broad conferences such as NeurIPS, ICML, ICLR, etc., or highly regarded specialized conferences such as ICAPS, CRYPTO, etc.
- Deep understanding of fundamental AI/ML techniques and a strong grasp of current state of the art in specific areas of expertise
- Practical experience with statistical data analysis, experimental design and creation of meaningful benchmarks and metrics for evaluation.
- Effective verbal and written communication skills with the ability to address both technical and business audiences.
- Practical software development experience in collaborative project settings such as open-source projects or industry experience. Ability to deliver modular, optimized, high-quality Python code with tests.
- Proven ability to translate business requirements into technical problem formations and deliver novel solutions into production. Motivated to make an impact on problems in the financial services domain. Curiosity, creativity, resourcefulness, and a collaborative spirit
- We are looking for researchers across multiple areas of specialization, including: Synthetic Data Generation across multiple modalities (tabular, images, time-series, etc.), synthetic personas and agent simulations. Multimodal agent security and safety, alignment, guardrails, red teaming, data privacy and unlearning. Continual learning for agents (e.g. memory-based, model-based including reinforcement learning and post-training). Advanced multi-agent systems including coordination, negotiation, deep research, and hybrid/neuro-symbolic approaches. Foundation model training for tabular, time-series, language and other modalities. Multimodal information discovery, understanding and predictive modeling spanning multiple modalities e.g. websites, news, audio, speech, documents, images, etc. Formal methods (e.g., temporal logic, constraint programming, model checking, automated planning, theorem proving, SMT/SAT solving) and program/hardware verification.
Preferred Qualifications, Capabilities, And Skills
- Practical experience with ML libraries (e.g. PyTorch, TensorFlow/Keras, HuggingFace Transformers etc.) and agent frameworks (e.g. LangGraph, Google ADK, etc.)
- Familiarity with common formal verification tools and languages (e.g., Coq/Isabelle/Lean, TLA+, Alloy, Z3, PDDL)
About us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
About The Team
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
See all 104+ H-1B1 Chile Visa AI Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B1 Chile Visa AI Jobs.
Get Access To All JobsTips for Finding AI Jobs
Map your degree to AI specialty occupation criteria
The H-1B1 visa requires your role to demand a specific bachelor's degree. Use O*NET to confirm your AI title's listed education requirements match your Chilean credentials before applying, since mismatches trigger consulate denials.
Verify your wage offer against DOL prevailing rates
Your employer's LCA must certify wages at or above the DOL prevailing wage for your AI role and work location. Run the OFLC Wage Search using the correct SOC code before negotiating your offer to catch shortfalls early.
Search companies with active H-1B1 Chile LCA filings
Use Migrate Mate to filter employers who have already filed Labor Condition Applications for H-1B1 Chile roles. These companies have cleared the administrative learning curve and are far more likely to move quickly on an AI hire.
Target AI teams at E-Verify enrolled employers
Some U.S. states require federal contractors to use E-Verify, which overlaps heavily with AI defense and research roles. Confirm your target employer is enrolled before accepting an offer, since unenrolled employers can't complete your I-9 under certain contracts.
Prepare a credential evaluation before your consulate interview
Chilean licentiate and professional degrees sometimes require a formal equivalency evaluation for U.S. consular officers. Get a credential evaluation from a NACES-member organization that explicitly maps your AI or computer science degree to a U.S. bachelor's.
Negotiate LCA filing timing into your start date
Unlike H-1B visa, H-1B1 Chile has no USCIS petition step, but DOL LCA certification still takes up to seven business days. Build that window into your offer letter so your consulate appointment isn't scheduled before the certified LCA is in hand.
Frequently Asked Questions
Do AI jobs qualify as specialty occupations under the H-1B1 Chile visa?
Yes, most AI roles qualify. Titles like machine learning engineer, data scientist, NLP researcher, and computer vision specialist require at least a bachelor's degree in computer science, mathematics, or a directly related field. That degree requirement is what makes them specialty occupations. Roles described as requiring any bachelor's degree, regardless of field, may not qualify and should be reviewed carefully before filing.
How does the H-1B1 Chile visa differ from the H-1B for AI professionals?
The H-1B1 Chile visa skips the H-1B lottery entirely and has a separate annual cap of 1,400 visas that has never been exhausted. You apply at the U.S. consulate in Chile after your employer files an LCA with DOL, with no USCIS petition required. The tradeoff is that H-1B1 doesn't allow dual intent, so it isn't a direct path to a green card the way an approved H-1B petition can be.
How do I find AI employers who already sponsor H-1B1 Chile visas?
Migrate Mate filters job listings by employers with verified H-1B1 Chile LCA filing history, so you can focus on AI teams that have already navigated the sponsorship process. Cold-applying to companies with no H-1B1 experience adds months of internal approvals before your consulate interview can even be scheduled.
Can my employer use a placeholder LCA while finalizing my AI role details?
DOL requires the LCA to reflect your actual job title, SOC code, wage level, and work location. A placeholder with approximate details creates compliance risk and can lead to a Request for Evidence or consulate denial. Your employer should have your offer letter finalized before submitting the LCA to avoid amending it later.
What happens to my H-1B1 Chile status if my AI role shifts to a different team or function?
A material change in job duties, title, or work location requires your employer to file a new LCA and may require a new visa stamp if the change happens outside the U.S. Remote work arrangements that move you to a different metropolitan area also trigger a new LCA, since prevailing wages are location-specific under DOL rules.