H-1B1 Chile Visa Applied Scientist Jobs
H-1B1 Chile visa sponsorship lets Chilean nationals step into Applied Scientist roles at U.S. employers without entering a lottery. The 1,400-visa annual cap rarely fills, and consular processing moves faster than a standard USCIS petition, so your timeline from offer to start date is shorter than most candidates expect.
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Do you want to join an innovative team of scientists who develop Agentic AI, LLM, and deep learning based solutions to help Amazon provide the best seller experience across the entire Seller life cycle, including recruitment, growth, support, risk mitigation and provide the best customer and seller experience?
Do you want to build advanced algorithmic systems that help manage the trust and safety of millions of customer interactions every day? Are you excited by the prospect of analyzing and modeling terabytes of data and creating state-of-the-art algorithms to solve real world problems? Are you excited by the opportunity to leverage GenAI and innovate on top of the state-of-the-art large language models to improve customer and seller experience?
Do you like to build end-to-end business solutions and directly impact the profitability of the company? Do you like to innovate and create solutions that have cross-organizational impacts?
If yes, then you may be a great fit to join the Machine Learning Accelerator team.
Key job responsibilities
The scope of an Applied Scientist in the Machine Learning Accelerator (MLA) team is to research and prototype AI and Machine Learning applications that solve strategic business problems across Selling Partner Experience (SPX) domains. Additionally, the scientist collaborates with engineers and business partners to design and implement solutions at scale that are of broad benefit to SPX organizations. They develop large-scale solutions for high impact projects, introduce tools and other techniques that can be used to solve problems from various perspectives, and show depth and competence in more than one area. They influence the team’s technical strategy by making insightful contributions to the team’s priorities, approach and planning. They develop and introduce tools and practices that streamline the work of the team, and they mentor junior team members and participate in hiring.
BASIC QUALIFICATIONS
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- 3+ years of building machine learning models or developing algorithms for business application experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
- Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience in developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware
PREFERRED QUALIFICATIONS
- Experience using Unix/Linux
- Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning
- Experience with LLM fine-tuning, in-context learning, or model evaluation
- Hands-on experience designing reward models or RL post-training pipelines (PPO/GRPO, DPO) for LLMs or agents, including preference-data collection and evaluation
- Experience building agentic AI systems — tool use, planning, retrieval-augmented generation, or multi-agent workflows
- Experience with researching and developing neuro-symbolic solutions and applications
- Publications at top ML/AI venues
- Experience partnering with product/engineering teams to deliver ML in large-scale production system
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
LOCATION
USA, CA, San Diego
COMPENSATION
- Salary Range: $142,800.00 - $193,200.00 USD annually
DESCRIPTION
Do you want to join an innovative team of scientists who develop Agentic AI, LLM, and deep learning based solutions to help Amazon provide the best seller experience across the entire Seller life cycle, including recruitment, growth, support, risk mitigation and provide the best customer and seller experience?
Do you want to build advanced algorithmic systems that help manage the trust and safety of millions of customer interactions every day? Are you excited by the prospect of analyzing and modeling terabytes of data and creating state-of-the-art algorithms to solve real world problems? Are you excited by the opportunity to leverage GenAI and innovate on top of the state-of-the-art large language models to improve customer and seller experience?
Do you like to build end-to-end business solutions and directly impact the profitability of the company? Do you like to innovate and create solutions that have cross-organizational impacts?
If yes, then you may be a great fit to join the Machine Learning Accelerator team.
Key job responsibilities
The scope of an Applied Scientist in the Machine Learning Accelerator (MLA) team is to research and prototype AI and Machine Learning applications that solve strategic business problems across Selling Partner Experience (SPX) domains. Additionally, the scientist collaborates with engineers and business partners to design and implement solutions at scale that are of broad benefit to SPX organizations. They develop large-scale solutions for high impact projects, introduce tools and other techniques that can be used to solve problems from various perspectives, and show depth and competence in more than one area. They influence the team’s technical strategy by making insightful contributions to the team’s priorities, approach and planning. They develop and introduce tools and practices that streamline the work of the team, and they mentor junior team members and participate in hiring.
BASIC QUALIFICATIONS
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- 3+ years of building machine learning models or developing algorithms for business application experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
- Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience in developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware
PREFERRED QUALIFICATIONS
- Experience using Unix/Linux
- Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning
- Experience with LLM fine-tuning, in-context learning, or model evaluation
- Hands-on experience designing reward models or RL post-training pipelines (PPO/GRPO, DPO) for LLMs or agents, including preference-data collection and evaluation
- Experience building agentic AI systems — tool use, planning, retrieval-augmented generation, or multi-agent workflows
- Experience with researching and developing neuro-symbolic solutions and applications
- Publications at top ML/AI venues
- Experience partnering with product/engineering teams to deliver ML in large-scale production system
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
LOCATION
USA, CA, San Diego
COMPENSATION
- Salary Range: $142,800.00 - $193,200.00 USD annually
See all 360+ H-1B1 Chile Visa Applied Scientist Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B1 Chile Visa Applied Scientist Jobs.
Get Access To All JobsTips for Finding Visa Sponsorship as an Applied Scientist
Align your degree to the role specification
Applied Scientist positions require a directly related field, machine learning, statistics, or computer science. Confirm your Chilean university credential maps to a U.S. bachelor's equivalent before applying, since the H-1B1 visa specialty occupation standard is stricter than it looks.
Search verified sponsorship histories on Migrate Mate
Use Migrate Mate to filter employers by H-1B1 Chile LCA filing history. This shows which companies have already navigated the process for your visa category, saving you from spending weeks on employers who won't sponsor Chilean nationals specifically.
Request the LCA before signing anything
Your employer must file a certified Labor Condition Application with DOL before your consular appointment. Ask the recruiter to confirm LCA filing is in scope during the offer stage, not after you've given notice at your current position.
Pull the OFLC Wage Search before negotiating
DOL requires your offered salary to meet the prevailing wage for Applied Scientist roles in your work location. Run the OFLC Wage Search using SOC code 15-2051 to know the floor before your first salary conversation, so you negotiate above it.
Prepare your O*NET occupation documentation early
Consular officers expect evidence that your role qualifies as a specialty occupation. Pull the O*NET profile for your specific Applied Scientist position and cross-reference it with your offer letter's job duties to close any gaps before your interview packet is assembled.
Plan your consular appointment around LCA certification timing
The DOL typically certifies an LCA within seven business days, but appointment availability at Chilean consular posts varies. Book your interview slot as soon as the LCA is submitted, then confirm certification has come through before your scheduled date.
Frequently Asked Questions
Does an Applied Scientist role qualify as a specialty occupation for the H-1B1 Chile visa?
Yes. Applied Scientist positions require at minimum a bachelor's degree in a directly related field such as computer science, statistics, or a quantitative discipline, which meets the H-1B1 visa specialty occupation standard. Your employer documents this requirement in the Labor Condition Application, and the consular officer reviews it at your appointment. Roles where any general degree satisfies the requirement would not qualify.
How does the H-1B1 Chile visa differ from the H-1B for Applied Scientist candidates?
The H-1B1 Chile visa has no lottery, no USCIS petition filing, and a dedicated annual cap of 1,400 visas that rarely fills, making it a more predictable path than the H-1B visa for Chilean nationals. Processing happens directly at the consulate. The trade-off is that the H-1B1 doesn't permit dual intent, so it's structured for candidates who intend to return to Chile rather than pursue permanent residency from day one.
Where can I find Applied Scientist employers who have already sponsored H-1B1 Chile visas?
Migrate Mate shows verified H-1B1 Chile LCA filing histories by employer and occupation, so you can identify which companies have already run the process for your visa category. Targeting employers with existing filing history reduces the risk of a recruiter who's unfamiliar with H-1B1 Chile requirements stalling your offer.
Can my employer file an H-1B1 Chile petition while I'm already working in the U.S. on a different status?
H-1B1 Chile is a consular-process visa, which means it's generally obtained at a U.S. consulate or embassy outside the country rather than through a change of status filed with USCIS. If you're currently inside the U.S. on another nonimmigrant status, discuss the transition path with your employer's immigration contact before assuming in-country processing is available.
How long does H-1B1 Chile visa processing take for an Applied Scientist offer?
DOL typically certifies the Labor Condition Application within seven business days. Consular appointment availability varies by post, but Chilean nationals often secure interview slots within a few weeks of LCA certification. End-to-end from signed offer to visa stamp is commonly four to eight weeks for straightforward cases, though administrative processing can extend that window.