H-1B Visa Nlp Engineer Jobs
NLP Engineer roles qualify as H-1B visa specialty occupations under the computer and mathematical occupations category, requiring at least a bachelor's degree in computer science, computational linguistics, or a related field. Employers filing H-1B petitions for NLP engineers must certify a prevailing wage through a DOL Labor Condition Application before USCIS adjudicates the petition.
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Get Access To All JobsINTRODUCTION
We are seeking an NLP engineer to join a quant research team within Point72. The ideal candidate has a track record of developing modern NLP solutions, including the use of LLMs, agents, RAG, etc. We believe the investment world offers unique opportunities to use modern NLP methods.
ROLE AND RESPONSIBILITIES
Responsibilities may include:
- Exploring and combining rich internal and external textual datasets
- Formulating research hypothesis to derive alpha
- Building GenAI solutions, leveraging both internal models and external APIs
BASIC QUALIFICATIONS
- Bachelor, Master’s or PhD degree in computer science or another quantitative discipline
- Experience in NLP, particularly LLMs
- Proficient in Python, SQL and general software engineering principles (github, testing, etc.)
- Data science stack familiarity
- Interest in financial markets
- Collaborative mindset
- Commitment to the highest ethical standards
ABOUT POINT72
Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth.
COMPENSATION
The annual base salary range for this role is $150,000-$250,000 (USD), which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.
INTRODUCTION
We are seeking an NLP engineer to join a quant research team within Point72. The ideal candidate has a track record of developing modern NLP solutions, including the use of LLMs, agents, RAG, etc. We believe the investment world offers unique opportunities to use modern NLP methods.
ROLE AND RESPONSIBILITIES
Responsibilities may include:
- Exploring and combining rich internal and external textual datasets
- Formulating research hypothesis to derive alpha
- Building GenAI solutions, leveraging both internal models and external APIs
BASIC QUALIFICATIONS
- Bachelor, Master’s or PhD degree in computer science or another quantitative discipline
- Experience in NLP, particularly LLMs
- Proficient in Python, SQL and general software engineering principles (github, testing, etc.)
- Data science stack familiarity
- Interest in financial markets
- Collaborative mindset
- Commitment to the highest ethical standards
ABOUT POINT72
Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth.
COMPENSATION
The annual base salary range for this role is $150,000-$250,000 (USD), which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.
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Get Access To All JobsTips for Finding H-1B Visa Sponsorship as a Nlp Engineer
Verify your degree supports specialty occupation
USCIS scrutinizes NLP roles when your degree is in a broad field like information systems. Pull the O*NET profile for NLP or machine learning engineers and confirm your transcripts show coursework directly tied to that occupation code.
Target employers with active LCA filing history
Search Migrate Mate to filter NLP Engineer roles by employers who have filed Labor Condition Applications for this occupation. LCA history confirms the employer has navigated H-1B sponsorship before, cutting your risk of a first-timer filing error.
Understand how your role title affects wage levels
DOL assigns prevailing wages by SOC code and experience tier. An NLP Engineer titled 'Research Scientist' may land at a higher wage level than 'Software Engineer II,' affecting your offer negotiation. Use the OFLC Wage Search to check the level your job description maps to.
Document proprietary model work for RFE defense
USCIS increasingly issues Requests for Evidence on NLP roles, questioning whether the work is truly specialized. Before filing, build a paper trail: architecture diagrams, model cards, and peer-review citations that show your day-to-day tasks require graduate-level NLP expertise.
Negotiate cap-exempt employer options before the lottery
Universities, nonprofit research labs, and certain government contractors are cap-exempt, meaning you can start any time without waiting for the October 1 start date. If you're on OPT and your registration isn't selected, a cap-exempt NLP role lets you stay in status immediately.
Align your start date with cap-gap protection
If your F-1 OPT expires before October 1 after a successful H-1B lottery selection, cap-gap automatically extends your work authorization. Your employer must file the I-129 before your OPT end date, so confirm their filing timeline well before that deadline.
H-1B Visa Nlp Engineer: Frequently Asked Questions
Does an NLP Engineer role qualify as a specialty occupation for H-1B purposes?
Yes. USCIS classifies NLP Engineer positions under computer and mathematical occupations, which routinely satisfy the specialty occupation standard because the work theoretically and practically requires at least a bachelor's degree in computer science, computational linguistics, or a directly related field. Employers strengthen petitions by mapping job duties to graduate-level NLP tasks such as transformer architecture design, corpus annotation methodology, or low-resource language modeling.
How do employers determine the prevailing wage for an H-1B NLP Engineer petition?
Employers use the DOL's OFLC Wage Search to identify the prevailing wage for your SOC code, experience level, and work location before certifying the Labor Condition Application. NLP Engineers often map to the software developers or computer research scientists SOC code depending on duties, and the wage level assigned affects what the employer must pay. You can verify expected wage levels yourself using the OFLC Wage Search before negotiating an offer.
Which employers are most likely to sponsor H-1B visas for NLP Engineer roles?
Technology companies building conversational AI, search, and language model products file the highest volume of H-1B LCAs for NLP-related occupations. Academic medical centers, financial services firms building document processing tools, and defense contractors also sponsor regularly. Migrate Mate filters NLP Engineer roles by verified LCA filing history so you can identify employers who have sponsored this specific occupation, not just tech employers broadly.
Can I switch employers mid-H-1B if I get a better NLP Engineer offer?
Yes. Under H-1B portability rules established by AC21, you can change employers once you've been in H-1B status for at least 180 days and your new employer files an H-1B transfer petition before your current status expires. Your work authorization continues while the transfer petition is pending. The new employer must file a fresh LCA at the prevailing wage for your new work location, which matters if you're moving between high- and lower-cost metro areas.
What happens to my H-1B status if my NLP Engineer role is eliminated in a layoff?
You enter a 60-day grace period from your last day of employment, during which you can find a new sponsor, change to a different nonimmigrant status, or depart the U.S. Your former employer is responsible for the cost of return transportation to your home country under USCIS regulations. During those 60 days, a new employer can file an H-1B transfer petition and you can begin working once it's filed, not just approved, if you have at least 180 days of prior H-1B time.