H-1B1 Singapore Visa ML Software Engineer Jobs
ML Software Engineer roles qualify for H-1B1 Singapore visa sponsorship as specialty occupations requiring at least a bachelor's degree in computer science or a related field. No lottery, no USCIS petition, and the 5,400-visa annual cap has never been exhausted, so your timeline depends on consulate scheduling rather than luck.
Find H-1B1 Singapore Visa ML Software Engineer JobsOverview
Showing 5 of 919+ ML Software Engineer jobs
See all 919+ ML Software Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new ML Software Engineer roles.
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 919+ H-1B1 Singapore Visa ML Software Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B1 Singapore Visa ML Software Engineer Jobs.
Get Access To All JobsTips for Finding Visa Sponsorship as a ML Software Engineer
Verify your degree maps to ML roles
Consular officers assess whether your degree directly relates to the ML Software Engineer role. A computer science or statistics degree maps cleanly, but a physics or mathematics degree needs your resume to show a direct through-line to machine learning work.
Pull your O*NET occupation profile before applying
ML Software Engineer sits under a specific Standard Occupational Classification code. Confirm the role your employer will file for matches that code in O*NET so your LCA wage level and job duties align before the consulate interview.
Search verified H-1B1 sponsoring employers on Migrate Mate
Use Migrate Mate to filter employers by H-1B1 Singapore LCA filing history for ML and software engineering roles, so you're targeting companies that have already navigated the process, not guessing from job descriptions.
Check prevailing wage before negotiating your offer
Your employer must certify your salary meets the DOL prevailing wage for your job title and location. Run the OFLC Wage Search for your specific metro area before salary discussions so you know the floor and can negotiate above it.
Ask your employer about LCA certification timing upfront
The DOL must certify the Labor Condition Application before your consulate appointment. Many employers underestimate this step. Confirm your employer has filed or is prepared to file the LCA at least two weeks before your scheduled interview date.
Carry documentation of ML project scope to your interview
Consular officers sometimes probe whether the role genuinely requires a specialized degree. Bring a brief summary of your ML projects and the technical methods used so you can demonstrate the work demands degree-level expertise, not general programming skills.
Frequently Asked Questions
Does an ML Software Engineer role qualify as a specialty occupation for the H-1B1 Singapore visa?
Yes. ML Software Engineer roles qualify because they require at minimum a bachelor's degree in computer science, mathematics, statistics, or a directly related field. The consular officer will assess whether the specific duties, such as designing models, training algorithms, or deploying production ML systems, require that specialized degree rather than general technical skills.
How is the H-1B1 Singapore visa different from H-1B for ML Software Engineer roles?
The H-1B1 Singapore visa skips the H-1B lottery entirely and is processed directly at the U.S. consulate in Singapore, not through USCIS. The 5,400 annual cap has never been fully used, so timing depends on consulate availability rather than random selection. The trade-off is that H-1B visa1 doesn't carry dual intent, meaning you can't simultaneously pursue a green card while on this status.
How do I find employers who have sponsored H-1B1 Singapore visas for ML roles?
Migrate Mate lets you filter employers by H-1B1 Singapore LCA filing history for software engineering and ML job categories. This is more reliable than applying broadly, because it shows you which employers have already completed the DOL certification process for roles matching your occupation code, not just employers who list ML in a job description.
Can I switch ML Software Engineer employers while on an H-1B1 Singapore visa?
Yes, but unlike H-1B there's no portability provision. Your new employer must file a fresh LCA with DOL and you'll need a new H-1B1 visa stamp at the consulate before starting work. Plan for a gap between roles, and confirm your new employer is prepared to initiate the LCA certification process before you give notice.
What should I expect at the U.S. consulate interview for an ML Software Engineer H-1B1 application?
Consular officers typically ask about your job duties, how your degree relates to the ML role, and your intent to return to Singapore after your status ends. Bring your LCA certification, offer letter, educational credentials, and a brief summary of your ML project experience. Officers may probe whether the role genuinely requires specialized technical training rather than general programming skills.