H-1B1 Singapore Visa ML Research Engineer Jobs
ML Research 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. The H-1B1 has no lottery, a 5,400 annual cap that rarely fills, and processes at the U.S. consulate in Singapore rather than through USCIS.
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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.
See all 928+ H-1B1 Singapore Visa ML Research Engineer Jobs
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Get Access To All JobsTips for Finding Visa Sponsorship as a ML Research Engineer
Verify your degree meets specialty occupation requirements
ML Research Engineer roles require a directly related degree field. A general computer science degree typically qualifies, but a business or unrelated STEM degree may not. Cross-check your credentials against the O*NET occupation profile for this role before applying.
Target employers with active H-1B1 LCA filings
Search Migrate Mate to identify employers who have filed Labor Condition Applications for H-1B1 Singapore roles. DOL disclosure data shows which companies have sponsored Singaporean nationals in ML and research engineering positions.
Distinguish your research profile from software engineering candidates
Employers often conflate ML Research Engineers with software engineers and assume H-1B lottery exposure. Frame your resume around publications, model architectures, and research outcomes to signal the specialized role that justifies H-1B1 visa sponsorship without lottery risk.
Confirm the employer files LCAs before accepting any offer
Your employer must file a certified Labor Condition Application with DOL before your H-1B1 petition is submitted. Ask your recruiter early whether the company has sponsored H-1B1 Singapore employees before, not just H-1B holders generally.
Use OFLC Wage Search to benchmark your offer against prevailing wage
DOL requires employers to pay at least the prevailing wage for your occupation and work location. Run the OFLC Wage Search using the correct SOC code for ML Research Engineer before your offer letter is finalized so you can spot underpayment before it becomes a compliance issue.
Apply at the Singapore consulate rather than adjusting status
H-1B1 Singapore visa applications are processed through consular processing in Singapore, not through USCIS change-of-status filings. Plan your timeline around consulate appointment availability, which is typically shorter than USCIS adjudication windows for standard H-1B petitions.
Frequently Asked Questions
Does an ML Research Engineer role qualify as a specialty occupation for the H-1B1 Singapore visa?
Yes. ML Research Engineer roles require at minimum a bachelor's degree in computer science, machine learning, statistics, or a directly related field, which meets the specialty occupation definition for H-1B1 visa purposes. Roles that blend research with software engineering still qualify as long as the position requires a specific theoretical or technical degree, not just any STEM background.
How does the H-1B1 Singapore visa compare to the H-1B for ML Research Engineer positions?
The H-1B1 Singapore visa has no lottery, so there's no randomized selection cutting you out of the process. The annual cap of 5,400 has never been exhausted, meaning qualified Singaporean nationals can apply any time of year. The H-1B, by contrast, is subject to an annual lottery with selection rates well below 50% for most applicants, making the H-1B1 a structurally more reliable path for Singaporeans in ML research roles.
Which employers are most likely to sponsor H-1B1 Singapore visas for ML Research Engineers?
Employers who already sponsor H-1B holders for machine learning and AI research roles are the most likely to extend that process to H-1B1 Singapore applicants, since the employer-side LCA filing process is similar. Use Migrate Mate to filter for companies with verified H-1B1 LCA filing history in ML and research engineering occupations rather than relying on general employer reputation.
Can I switch employers after starting work on an H-1B1 Singapore visa?
Yes, but the new employer must file a fresh LCA with DOL and submit a new H-1B1 visa petition before you begin work. Unlike H-1B portability under AC21, H-1B1 does not allow you to start with a new employer the moment a transfer petition is filed. Plan your transition timeline with at least several weeks of lead time before your intended start date with the new company.
How long does H-1B1 Singapore visa processing take for ML Research Engineer roles?
Once the employer's LCA is certified by DOL, the consular appointment and visa stamp process in Singapore is generally faster than USCIS adjudication for standard H-1B petitions. Consulate processing for H-1B1 visa applications typically runs a few weeks from interview to passport return, though administrative processing for research roles with security-sensitive technology backgrounds can extend that timeline. Confirm current wait times with USCIS and the U.S. Embassy Singapore before committing to a start date.