H-1B1 Singapore Visa AI ML Engineer Jobs
AI ML Engineer roles qualify for H-1B1 Singapore visa sponsorship as specialty occupations requiring at least a bachelor's degree in computer science, machine learning, or a related field. No lottery, no USCIS petition filing, and the 5,400-visa annual cap leaves room year-round for Singaporean professionals with a confirmed U.S. job offer.
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Get Access To All JobsINTRODUCTION
PDT, a quantitative investment manager, is hiring problem solvers who blend programming and applied research experience. Individuals in this role will devise, implement, evaluate, and iterate to create and improve statistical methods vetting them through direct application to enhancing our trading strategies. Applied ML scientists are expected to navigate quantitative and technical challenges within a project to advance our research methodology. They will have ample opportunity to collaborate with our deep bench of senior researchers and technologists. PDTers are creative, energetic, friendly, entrepreneurial, and collaborative. If you could walk around our office, you’d see that we’re a focused, intent, and nimble company with none of the attitude and bureaucracy of a stereotypical Wall Street trading firm. We love to work on challenging and complicated problems, that in return give a chance to make outsized, direct impact on our bottom line. For the right talent, there is fantastic growth potential. This is a hybrid position and will require the person to work from our New York City office at minimum 3 days a week.
Why join us?
PDT Partners has a 30+ year track record and a reputation for excellence. Our goal is to be the best quantitative investment manager in the world—measured by the quality of our products, not their size. PDT’s very high employee-retention rate speaks for itself. Our people are intellectually extraordinary and our community is close-knit, down-to-earth, and diverse.
Responsibilities
- Work closely with senior researchers on a variety of trading strategies and research projects, with the opportunity to conduct independent research and originate research topics over time
- Contribute to the long-term success of our research-driven algorithmic trading business
BASIC QUALIFICATIONS
- Solid mathematical and analytical ability; exceptional problem-solving and modeling ability
- Research intuition
- Experience in programming (Python, R, Matlab, C++)
- Excellent communication and collaborative white board skills
- Meticulous and detail-oriented, and innately driven to understand issues deeply
- Experience with/interested in working with large data sets
- Self-motivated and highly-productive, with a strong sense of ownership and urgency
- Able to work collaboratively and productively with others
- Enjoy solving complex, difficult, real-world problems
- Entrepreneurial and creative
- Finance knowledge is not required or expected
- PhD preferred
- Undergraduate or Masters degree with equivalent industry experience in machine learning + 2+ years of applied machine learning research experience
- Strong publication record
- Experience with the Python scientific stack
ADDITIONAL QUALIFICATIONS
We take research seriously. Beyond your resume, we want to understand your research history and the papers most relevant to evaluating your candidacy. We strongly encourage you to answer all application questions and allow us to understand you as a researcher and determine where you would be the strongest fit in our team.
COMPENSATION
- Salary range: $190,000 and $250,000. This range is not inclusive of any potential bonus amounts. Factors that may impact the agreed upon salary within the range for a particular candidate include years of experience, level of education obtained, skill set, and other external factors.
PRIVACY STATEMENT: For information on ways PDT may collect, use, and process your personal information, please see PDT’s privacy notices.
INTRODUCTION
PDT, a quantitative investment manager, is hiring problem solvers who blend programming and applied research experience. Individuals in this role will devise, implement, evaluate, and iterate to create and improve statistical methods vetting them through direct application to enhancing our trading strategies. Applied ML scientists are expected to navigate quantitative and technical challenges within a project to advance our research methodology. They will have ample opportunity to collaborate with our deep bench of senior researchers and technologists. PDTers are creative, energetic, friendly, entrepreneurial, and collaborative. If you could walk around our office, you’d see that we’re a focused, intent, and nimble company with none of the attitude and bureaucracy of a stereotypical Wall Street trading firm. We love to work on challenging and complicated problems, that in return give a chance to make outsized, direct impact on our bottom line. For the right talent, there is fantastic growth potential. This is a hybrid position and will require the person to work from our New York City office at minimum 3 days a week.
Why join us?
PDT Partners has a 30+ year track record and a reputation for excellence. Our goal is to be the best quantitative investment manager in the world—measured by the quality of our products, not their size. PDT’s very high employee-retention rate speaks for itself. Our people are intellectually extraordinary and our community is close-knit, down-to-earth, and diverse.
Responsibilities
- Work closely with senior researchers on a variety of trading strategies and research projects, with the opportunity to conduct independent research and originate research topics over time
- Contribute to the long-term success of our research-driven algorithmic trading business
BASIC QUALIFICATIONS
- Solid mathematical and analytical ability; exceptional problem-solving and modeling ability
- Research intuition
- Experience in programming (Python, R, Matlab, C++)
- Excellent communication and collaborative white board skills
- Meticulous and detail-oriented, and innately driven to understand issues deeply
- Experience with/interested in working with large data sets
- Self-motivated and highly-productive, with a strong sense of ownership and urgency
- Able to work collaboratively and productively with others
- Enjoy solving complex, difficult, real-world problems
- Entrepreneurial and creative
- Finance knowledge is not required or expected
- PhD preferred
- Undergraduate or Masters degree with equivalent industry experience in machine learning + 2+ years of applied machine learning research experience
- Strong publication record
- Experience with the Python scientific stack
ADDITIONAL QUALIFICATIONS
We take research seriously. Beyond your resume, we want to understand your research history and the papers most relevant to evaluating your candidacy. We strongly encourage you to answer all application questions and allow us to understand you as a researcher and determine where you would be the strongest fit in our team.
COMPENSATION
- Salary range: $190,000 and $250,000. This range is not inclusive of any potential bonus amounts. Factors that may impact the agreed upon salary within the range for a particular candidate include years of experience, level of education obtained, skill set, and other external factors.
PRIVACY STATEMENT: For information on ways PDT may collect, use, and process your personal information, please see PDT’s privacy notices.
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Get Access To All JobsTips for Finding Visa Sponsorship as an AI ML Engineer
Map your degree to SOC codes
AI ML Engineer roles map to multiple Standard Occupational Classification codes, and the one your employer uses on the Labor Condition Application affects prevailing wage levels. Cross-reference your specialisation against O*NET before your offer stage to avoid a wage mismatch later.
Target employers with LCA filing history
Search Migrate Mate to filter employers who have filed Labor Condition Applications for AI and ML roles. Employers with active LCA history understand the H-1B1 Singapore process and are less likely to stall at the offer stage over unfamiliar paperwork.
Verify your employer's E-Verify enrollment early
H-1B1 Singapore employers must be E-Verify participants. Confirm enrollment before you accept an offer, not after, because un-enrolled employers can't legally file your LCA through DOL and your consulate appointment can't proceed without a certified LCA.
Benchmark your offered salary against OFLC Wage Search
DOL sets four prevailing wage levels for each SOC code and work location. Run the OFLC Wage Search yourself using the job title and the employer's county to confirm your offer meets at least Level I before the LCA is filed.
Prepare evidence that your role requires specialised ML knowledge
Consular officers assess specialty occupation eligibility at your interview. Bring documentation showing the role requires a specific technical degree, such as the job description, any internal engineering role specifications, and your academic transcripts linking your coursework to the ML functions in the role.
Time your consulate appointment around LCA certification
DOL typically certifies LCAs within seven business days. Build that window into your start-date negotiation with the employer so you can schedule your Singapore consulate appointment immediately after certification, avoiding unnecessary delays between offer acceptance and your H-1B1 visa stamp.
Frequently Asked Questions
Does an AI ML Engineer role qualify as a specialty occupation for the H-1B1 Singapore visa?
Yes. AI ML Engineer roles require at minimum a bachelor's degree in computer science, machine learning, electrical engineering, or a closely related field, which satisfies the specialty occupation standard under the U.S.-Singapore Free Trade Agreement. The employer must confirm that requirement in the Labor Condition Application filed with DOL before you attend your consulate interview in Singapore.
How does the H-1B1 Singapore visa compare to the H-1B for AI ML Engineer roles?
The H-1B1 Singapore visa has no lottery and no USCIS petition stage, so your employer files a Labor Condition Application with DOL and you apply directly at the U.S. Embassy in Singapore. The H-1B visa requires USCIS approval and subjects you to the annual lottery. For Singaporean nationals, the H-1B1 is a faster and more predictable path to starting an AI ML Engineer role in the U.S.
How can I find AI ML Engineer employers who will sponsor the H-1B1 Singapore visa?
Use Migrate Mate to search for employers with verified Labor Condition Application filing history for AI and ML roles. Employers who have filed LCAs before are already familiar with the H-1B1 Singapore process, which significantly reduces the risk that your offer falls through due to unfamiliarity with the visa type.
Can I start an AI ML Engineer role in the U.S. while my H-1B1 Singapore application is processing?
No. The H-1B1 Singapore visa is processed at the consulate, not through a USCIS change-of-status petition, so you must have your visa stamp in hand before beginning work in the U.S. Your employer's LCA must be certified by DOL and the DS-160 completed before you attend your Singapore embassy interview.
What happens if my AI ML Engineer role changes scope after I receive H-1B1 Singapore visa sponsorship?
If your job duties shift significantly, your employer may need to file an amended Labor Condition Application with DOL reflecting the updated role and prevailing wage. Changes to your job title, SOC code, or work location can each trigger a new LCA requirement. Confirm with your employer that any role changes are reviewed against your original LCA before they take effect.