Applied Scientist Jobs for OPT Students
Applied Scientist roles on OPT sit squarely within specialty occupation territory, which makes them strong candidates for H-1B sponsorship down the line. Most positions require a master's or PhD in computer science, statistics, or a related field. STEM OPT gives you up to three years of authorized work, enough runway to move through the sponsorship process.
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Get Access To All JobsDESCRIPTION
Amazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible for defining and delivering a collection of advertising solutions that drive product discovery and sales. We deliver billions of ad impressions every single day on behalf of our advertisers. You'll work with us to help our Advertising teams make sense of the torrent of data produced by the advertising lifecycle.
We are using SOTA generative AI to help teams generate insights faster based on our massive data lake. You will need to invent new techniques for metrics retrieval and SQL generation to ensure we're retrieving accurate and trusted data. You'll create feedback loops to ensure our solution is constantly evaluating itself and improving.
Being that this is for a conversational AI position, here is what our bot replied when we prompted it for a job description of who should help build it:
Role Overview:
We are looking for an exceptional applied scientist to join our team building SpektrBot, a conversational AI assistant that helps data engineers and analysts with their workflows. You will work closely with engineers and product managers to design, implement, and optimize natural language processing models like intent classification, named entity recognition, question answering, etc. that enable our Ads chatbot to understand user requests and have natural conversations.
Responsibilities:
- Study and understand data engineering and analytics workflows to design the right conversational experiences
- Research, design, and develop NLP/NLU models for intent classification, entity extraction, sentiment analysis etc.
- Continuously improve models through techniques like active learning, transfer learning etc.
- Optimize models for metrics like precision, recall, latency, interpretability etc.
- Implement models within overall bot architecture and integrate with backend systems
- Collaborate with engineers to productionize and monitor models
- Stay up-to-date on latest advancements in conversational AI research, specifically in LLMs (multi-agent, chain of thought, autonomous agents)
- Be familiar with optimizing retrievers in RAG architectures.
Key job responsibilities
You will test multiple foundational models and fine tune when appropriate. You will create feedback loops that will evaluate performance and improve our systems. You will optimize prompts for better responses from our LLMs. You will build tools to auto-curate metadata using LLMs.
A day in the life
You will invent new experiences and influence customer-facing shopping experiences to help suppliers grow their retail business and the auction dynamics that leverage native advertising; this is your opportunity to work within the fastest-growing businesses across all of Amazon! Define a long-term science vision for our advertising business, driven from our customers' needs, translating that direction into specific plans for research and applied scientists, as well as engineering and product teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding.
About the team
We have a small scrappy team carved out from a large Ads wide data lake team. We are swimming in petabytes of data that we help the organization make sense of. Our team's mission is to help anyone in the Ads org find the data they need using only natural language. We are a supportive and collaborative team who iterates quickly and shares in each others' successes.
BASIC QUALIFICATIONS
- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- 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
PREFERRED QUALIFICATIONS
- Experience using Unix/Linux
- Experience in professional software development
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.
COMPENSATION
- 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, WA, Seattle - 142,800.00 - 193,200.00 USD annually
DESCRIPTION
Amazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible for defining and delivering a collection of advertising solutions that drive product discovery and sales. We deliver billions of ad impressions every single day on behalf of our advertisers. You'll work with us to help our Advertising teams make sense of the torrent of data produced by the advertising lifecycle.
We are using SOTA generative AI to help teams generate insights faster based on our massive data lake. You will need to invent new techniques for metrics retrieval and SQL generation to ensure we're retrieving accurate and trusted data. You'll create feedback loops to ensure our solution is constantly evaluating itself and improving.
Being that this is for a conversational AI position, here is what our bot replied when we prompted it for a job description of who should help build it:
Role Overview:
We are looking for an exceptional applied scientist to join our team building SpektrBot, a conversational AI assistant that helps data engineers and analysts with their workflows. You will work closely with engineers and product managers to design, implement, and optimize natural language processing models like intent classification, named entity recognition, question answering, etc. that enable our Ads chatbot to understand user requests and have natural conversations.
Responsibilities:
- Study and understand data engineering and analytics workflows to design the right conversational experiences
- Research, design, and develop NLP/NLU models for intent classification, entity extraction, sentiment analysis etc.
- Continuously improve models through techniques like active learning, transfer learning etc.
- Optimize models for metrics like precision, recall, latency, interpretability etc.
- Implement models within overall bot architecture and integrate with backend systems
- Collaborate with engineers to productionize and monitor models
- Stay up-to-date on latest advancements in conversational AI research, specifically in LLMs (multi-agent, chain of thought, autonomous agents)
- Be familiar with optimizing retrievers in RAG architectures.
Key job responsibilities
You will test multiple foundational models and fine tune when appropriate. You will create feedback loops that will evaluate performance and improve our systems. You will optimize prompts for better responses from our LLMs. You will build tools to auto-curate metadata using LLMs.
A day in the life
You will invent new experiences and influence customer-facing shopping experiences to help suppliers grow their retail business and the auction dynamics that leverage native advertising; this is your opportunity to work within the fastest-growing businesses across all of Amazon! Define a long-term science vision for our advertising business, driven from our customers' needs, translating that direction into specific plans for research and applied scientists, as well as engineering and product teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding.
About the team
We have a small scrappy team carved out from a large Ads wide data lake team. We are swimming in petabytes of data that we help the organization make sense of. Our team's mission is to help anyone in the Ads org find the data they need using only natural language. We are a supportive and collaborative team who iterates quickly and shares in each others' successes.
BASIC QUALIFICATIONS
- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- 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
PREFERRED QUALIFICATIONS
- Experience using Unix/Linux
- Experience in professional software development
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.
COMPENSATION
- 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, WA, Seattle - 142,800.00 - 193,200.00 USD annually
How to Get Visa Sponsorship as an Applied Scientist
Target companies with active H-1B filing histories
Employers who regularly sponsor Applied Scientists will have a track record of H-1B filings. Prioritize companies with dedicated research divisions, such as large tech firms and AI labs, where sponsorship is standard practice rather than an exception.
Lead with your research output, not just your degree
Published papers, patents, and conference presentations signal the kind of specialized expertise that justifies sponsorship. Employers evaluating OPT candidates for Applied Scientist roles weigh research credentials heavily when making the case to their legal team.
Confirm your STEM OPT eligibility before applying
Applied Scientist roles almost always qualify for the 24-month STEM OPT extension, but your degree field must appear on the STEM Designated Degree Program list. Verify this with your DSO before your initial 12-month OPT period ends.
Bring up OPT early in the interview process
Waiting until an offer to mention your work authorization status creates friction. Raise it in the recruiter screen so only genuinely sponsor-willing employers move forward. It saves both sides time and builds trust from the start.
Connect with Applied Scientists at the company before applying
Reach out to researchers already in the role you want. They can tell you whether sponsorship is handled internally or through outside counsel, how long the process typically takes at that company, and what the team actually values in candidates.
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Get Access To All JobsFrequently Asked Questions
Can I work as an Applied Scientist on OPT without employer sponsorship?
Yes. During your OPT authorization period, you can work as an Applied Scientist without any employer petition or sponsorship filing. Your employer does need to report the job to your DSO for STEM OPT compliance, but there is no separate visa petition required. Sponsorship only becomes necessary when your OPT period ends and you need a different work visa to stay authorized.
Do Applied Scientist roles qualify for the STEM OPT extension?
Applied Scientist positions almost universally qualify for the 24-month STEM OPT extension because the role draws directly on STEM degree fields such as computer science, statistics, applied mathematics, and electrical engineering. Your degree must appear on the STEM Designated Degree Program list and the job must be directly related to that field of study. Your DSO can confirm eligibility before you apply for the extension.
How do I find Applied Scientist jobs where employers are open to OPT sponsorship?
Migrate Mate is built specifically for this. The platform surfaces Applied Scientist roles from employers who have a demonstrated history of sponsoring international workers, so you are not wasting applications on companies that will decline once they learn your status. Browsing by role and authorization type there is the most efficient way to identify genuinely sponsor-willing employers in research and tech.
Does a master's degree qualify me for Applied Scientist roles on OPT, or do most employers require a PhD?
Requirements vary by company and team. Large tech companies and AI labs regularly hire Applied Scientists with strong master's degrees, particularly when candidates have published research, internship experience, or a compelling project portfolio. Roles focused on applied product work tend to be more accessible with a master's, while positions in core research or fundamental modeling often prefer a PhD. Read job descriptions carefully and prioritize applying to roles that list a master's as sufficient.
What should I know about the 60-day grace period if my Applied Scientist job ends while I am on OPT?
When employment ends during your OPT period, you enter a 60-day grace period during which you are not authorized to work but remain in valid F-1 status. You can use this window to find a new Applied Scientist role and start work once authorized. If you cannot secure a new position within 60 days, you would need to change status, transfer to a new school, or depart the United States.
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