J-1 Visa Speech Therapist Jobs
Speech Therapist positions in the United States are available to international professionals through J-1 visa sponsorship, typically under the Trainee or Specialist program category. Designated sponsors issue your DS-2019 form, while the hospital, clinic, or school district where you work serves as your host organization.
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Shape the Future of Human-Machine Interaction
Are you a master of natural language processing, eager to push the boundaries of conversational AI? Amazon is seeking exceptional graduate students to join our cutting-edge research team, where they will have the opportunity to explore and push the boundaries of natural language processing (NLP), natural language understanding (NLU), and speech recognition technologies.
Imagine waking up each morning, fueled by the excitement of tackling complex research problems that have the potential to reshape the world. You'll dive into production-scale data, exploring innovative approaches to natural language understanding, large language models, reinforcement learning with human feedback, conversational AI, and multimodal learning. Your days will be filled with brainstorming sessions, coding sprints, and lively discussions with brilliant minds from diverse backgrounds.
Throughout your journey, you'll have access to unparalleled resources, including state-of-the-art computing infrastructure, cutting-edge research papers, and mentorship from industry luminaries. This immersive experience will not only sharpen your technical skills but also cultivate your ability to think critically, communicate effectively, and thrive in a fast-paced, innovative environment where bold ideas are celebrated.
Join us at the forefront of applied science, where your contributions will shape the future of AI and propel humanity forward. Seize this extraordinary opportunity to learn, grow, and leave an indelible mark on the world of technology.
Amazon has positions available for Natural Language Processing & Speech Applied Science Internships in, but not limited to, Bellevue, WA; Boston, MA; Cambridge, MA; New York, NY; Santa Clara, CA; Seattle, WA; Sunnyvale, CA.
Key job responsibilities
We are particularly interested in candidates with expertise in: NLP/NLU, LLMs, Reinforcement Learning, Human Feedback/HITL, Deep Learning, Speech Recognition, Conversational AI, Natural Language Modeling, Multimodal Learning.
In this role, you will work alongside global experts to develop and implement novel, scalable algorithms and modeling techniques that advance the state-of-the-art in areas at the intersection of Natural Language Processing and Speech Technologies. You will tackle challenging, groundbreaking research problems on production-scale data, with a focus on natural language processing, speech recognition, text-to-speech (TTS), text recognition, question answering, NLP models (e.g., LSTM, transformer-based models), signal processing, information extraction, conversational modeling, audio processing, speaker detection, large language models, multilingual modeling, and more.
The ideal candidate should possess the ability to work collaboratively with diverse groups and cross-functional teams to solve complex business problems. A successful candidate will be a self-starter, comfortable with ambiguity, with strong attention to detail and the ability to thrive in a fast-paced, ever-changing environment.
A day in the life
- Develop novel, scalable algorithms and modeling techniques that advance the state-of-the-art in natural language processing, speech recognition, text-to-speech, question answering, and conversational modeling.
- Tackle groundbreaking research problems on production-scale data, leveraging techniques such as LSTM, transformer-based models, signal processing, information extraction, audio processing, speaker detection, large language models, and multilingual modeling.
- Collaborate with cross-functional teams to solve complex business problems, leveraging your expertise in NLP/NLU, LLMs, reinforcement learning, human feedback/HITL, deep learning, speech recognition, conversational AI, natural language modeling, and multimodal learning.
- Thrive in a fast-paced, ever-changing environment, embracing ambiguity and demonstrating strong attention to detail.
BASIC QUALIFICATIONS
- Are enrolled in a PhD
- Can relocate to where the internship is based
- Experience programming in Java, C++, Python or related language
- Experience with one or more of the following: Natural Language Processing/Understanding, Large Language Models, Reinforcement Learning, Human Feedback/HITL, Deep Learning, Speech Recognition, Conversational AI, Natural Language Modeling, Multimodal Learning
- Must be available for full-time (40 hours per week) internship for the whole duration of the internship
PREFERRED QUALIFICATIONS
- Have publications at top-tier peer-reviewed conferences or journals
- Experience in designing experiments and statistical analysis of results
- Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects)
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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 starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits.
LOCATION
USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually
DESCRIPTION
Shape the Future of Human-Machine Interaction
Are you a master of natural language processing, eager to push the boundaries of conversational AI? Amazon is seeking exceptional graduate students to join our cutting-edge research team, where they will have the opportunity to explore and push the boundaries of natural language processing (NLP), natural language understanding (NLU), and speech recognition technologies.
Imagine waking up each morning, fueled by the excitement of tackling complex research problems that have the potential to reshape the world. You'll dive into production-scale data, exploring innovative approaches to natural language understanding, large language models, reinforcement learning with human feedback, conversational AI, and multimodal learning. Your days will be filled with brainstorming sessions, coding sprints, and lively discussions with brilliant minds from diverse backgrounds.
Throughout your journey, you'll have access to unparalleled resources, including state-of-the-art computing infrastructure, cutting-edge research papers, and mentorship from industry luminaries. This immersive experience will not only sharpen your technical skills but also cultivate your ability to think critically, communicate effectively, and thrive in a fast-paced, innovative environment where bold ideas are celebrated.
Join us at the forefront of applied science, where your contributions will shape the future of AI and propel humanity forward. Seize this extraordinary opportunity to learn, grow, and leave an indelible mark on the world of technology.
Amazon has positions available for Natural Language Processing & Speech Applied Science Internships in, but not limited to, Bellevue, WA; Boston, MA; Cambridge, MA; New York, NY; Santa Clara, CA; Seattle, WA; Sunnyvale, CA.
Key job responsibilities
We are particularly interested in candidates with expertise in: NLP/NLU, LLMs, Reinforcement Learning, Human Feedback/HITL, Deep Learning, Speech Recognition, Conversational AI, Natural Language Modeling, Multimodal Learning.
In this role, you will work alongside global experts to develop and implement novel, scalable algorithms and modeling techniques that advance the state-of-the-art in areas at the intersection of Natural Language Processing and Speech Technologies. You will tackle challenging, groundbreaking research problems on production-scale data, with a focus on natural language processing, speech recognition, text-to-speech (TTS), text recognition, question answering, NLP models (e.g., LSTM, transformer-based models), signal processing, information extraction, conversational modeling, audio processing, speaker detection, large language models, multilingual modeling, and more.
The ideal candidate should possess the ability to work collaboratively with diverse groups and cross-functional teams to solve complex business problems. A successful candidate will be a self-starter, comfortable with ambiguity, with strong attention to detail and the ability to thrive in a fast-paced, ever-changing environment.
A day in the life
- Develop novel, scalable algorithms and modeling techniques that advance the state-of-the-art in natural language processing, speech recognition, text-to-speech, question answering, and conversational modeling.
- Tackle groundbreaking research problems on production-scale data, leveraging techniques such as LSTM, transformer-based models, signal processing, information extraction, audio processing, speaker detection, large language models, and multilingual modeling.
- Collaborate with cross-functional teams to solve complex business problems, leveraging your expertise in NLP/NLU, LLMs, reinforcement learning, human feedback/HITL, deep learning, speech recognition, conversational AI, natural language modeling, and multimodal learning.
- Thrive in a fast-paced, ever-changing environment, embracing ambiguity and demonstrating strong attention to detail.
BASIC QUALIFICATIONS
- Are enrolled in a PhD
- Can relocate to where the internship is based
- Experience programming in Java, C++, Python or related language
- Experience with one or more of the following: Natural Language Processing/Understanding, Large Language Models, Reinforcement Learning, Human Feedback/HITL, Deep Learning, Speech Recognition, Conversational AI, Natural Language Modeling, Multimodal Learning
- Must be available for full-time (40 hours per week) internship for the whole duration of the internship
PREFERRED QUALIFICATIONS
- Have publications at top-tier peer-reviewed conferences or journals
- Experience in designing experiments and statistical analysis of results
- Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects)
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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 starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits.
LOCATION
USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually
See all 5+ Speech Therapist jobs
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Get Access To All JobsTips for Finding J-1 Visa Sponsorship in Speech Therapist
Verify your ASHA credentials transfer correctly
The American Speech-Language-Hearing Association evaluates international credentials before most U.S. employers will host a J-1 Trainee. Start this process early, credential reviews can take several months and affect your DS-2019 timeline.
Target host employers with existing J-1 agreements
Hospitals, rehabilitation centers, and school districts that have previously hosted J-1 exchange visitors already have a relationship with a designated sponsor. Use Migrate Mate to find Speech Therapist roles at organizations with active J-1 sponsorship history.
Distinguish Trainee from Specialist category early
If you graduated within the past 12 months and have fewer than five years of experience, the Trainee category applies. Specialists with substantial post-degree experience qualify under a separate category with a longer program duration.
Build a training plan tied to SLP competencies
Designated sponsors require a detailed training plan before issuing your DS-2019. Frame it around specific speech-language pathology competencies you'll develop in the U.S., not just job duties, to satisfy USCIS and sponsor review requirements.
Confirm the two-year home residency requirement upfront
Many Speech Therapists sponsored through government or specialized programs are subject to the two-year home residency requirement under INA section 212(e). Ask your designated sponsor directly whether your specific program category and funding source trigger this rule.
Negotiate host employer support before sponsor enrollment
Your host employer must sign the training plan and commit to supervision before any designated sponsor can issue a DS-2019. Get written confirmation of this commitment during the offer stage, not after you've started the sponsor application process.
Speech Therapist jobs are hiring across the US. Find yours.
Find Speech Therapist JobsSpeech Therapist J-1 Visa: Frequently Asked Questions
Which J-1 program category fits a Speech Therapist role?
Most international Speech Therapists enter the U.S. under the J-1 Trainee category if they have a degree and fewer than five years of post-degree experience. Those with more extensive clinical experience may qualify under the Specialist category. The Trainee program allows up to 18 months, extendable to 24 months for structured training programs.
Who actually sponsors a J-1 visa for a Speech Therapist, the hospital or a separate organization?
The hospital, clinic, or school district where you work is the host organization, not the visa sponsor. A U.S. Department of State-designated sponsor organization, such as CIEE or Cultural Vistas, issues your DS-2019 and monitors your program compliance. Your host employer must partner with one of these designated sponsors before your J-1 status can be established.
How do I find Speech Therapist host employers open to J-1 exchange visitors?
Most employers don't advertise J-1 openings explicitly, which makes direct search difficult. Migrate Mate surfaces U.S. Speech Therapist roles at organizations with J-1 sponsorship history, so you can focus your outreach on hosts that already understand the DS-2019 process rather than educating employers from scratch.
Does the two-year home residency requirement apply to Speech Therapists on J-1 visas?
It depends on your program category, funding source, and country of origin. Speech Therapists sponsored under government-funded programs or those from countries on the State Department's skills list are most commonly subject to INA section 212(e). Your designated sponsor is required to disclose whether this requirement applies to your specific DS-2019 at the time of issuance.
Can a J-1 Speech Therapist change host employers mid-program?
Changing host employers requires your designated sponsor's approval and typically means amending or reissuing your DS-2019. The new host must sign an updated training plan, and there are strict limits on gaps in training. Notify your designated sponsor immediately if your host employer situation changes, as unauthorized gaps can jeopardize your J-1 status.
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