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.
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Get Access To All JobsINTRODUCTION
Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together.
The Company operates Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world, and Specs Inc., a wholly-owned subsidiary dedicated to making computing more human, in addition to Bitmoji, Saturn, and other digital services.
JOB DESCRIPTION
Snap Engineering teams build fun and technically sophisticated products that reach hundreds of millions of Snapchatters around the world, every day. We’re deeply committed to the well-being of everyone in our global community, which is why our values are at the root of everything we do. We move fast, with precision, and always execute with privacy at the forefront.
You’ll play a critical role in scaling our ML Infrastructure, optimizing AI training and inference systems, and driving innovations that make Snapchat’s ranking and recommendation systems more efficient and impactful.
We’re looking for a Software Engineer, ML Infrastructure to join Snap Inc!
Responsibilities:
- Design and optimize infrastructure systems for machine learning workloads at scale and drive reliability and efficiency improvements across Snapchat’s ML Infrastructure
- Develop high-performance inference systems to ensure fast and efficient AI model serving
- Build infrastructure to perform scalable ML model training, evaluation, and inference in the cloud
- Develop high-performance inference systems to ensure fast and efficient AI model serving
- Build comprehensive data management systems for scalable data collection, labeling, processing, and evaluation
- Work on state-of-the-art vector search algorithms to improve the precision, recall and scalability of our retrieval systems
- Work closely with ML engineers to deploy cutting-edge models into production
KNOWLEDGE, SKILLS & ABILITIES:
- Strong programming skills in Python, Java, Scala or C++
- Strong problem-solving skills with a focus on system performance, scalability, and efficiency
- Good understanding of distributed systems and the infrastructure components of large-scale ML
- Experience with big data processing frameworks such as Spark, Flink, or Ray
- Ability to collaborate and work well with others
- Proven track record of operating highly-available systems at significant scale
- Ability to proactively learn new concepts and apply them at work
MINIMUM QUALIFICATIONS:
- Bachelor’s degree in a technical field such as computer science or equivalent experience
- 6+ years of post-Bachelor’s software development experience; or Master’s degree in a technical field + 5+ years of post-grad software development experience; or PhD in a relevant technical field + 2+ years of post-grad software development experience
- Experience building large scale production machine learning systems, distributed systems or big data processing
PREFERRED QUALIFICATIONS:
- Masters/PhD in a technical field such as computer science or equivalent industry experience
- Experience working with ML Training platforms or optimizing AI model inference
- Familiarity with ML frameworks such as TensorFlow, PyTorch, Caffe2, Spark ML, scikit-learn, or related frameworks
If you have a disability or special need that requires accommodation, please don’t be shy and provide us some information.
"Default Together" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a “default together” approach and expect our team members to work in an office 4+ days per week.
At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, where applicable).
OUR BENEFITS:
Snap Inc. is its own community, so we’ve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap’s long-term success!
COMPENSATION
In the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position. These pay zones may be modified in the future.
Zone A (CA, WA, NYC):
The base salary range for this position is $209,000-$313,000 annually.
Zone B:
The base salary range for this position is $199,000-$297,000 annually.
Zone C:
The base salary range for this position is $178,000-$266,000 annually.
This position is eligible for equity in the form of RSUs.
INTRODUCTION
Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together.
The Company operates Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world, and Specs Inc., a wholly-owned subsidiary dedicated to making computing more human, in addition to Bitmoji, Saturn, and other digital services.
JOB DESCRIPTION
Snap Engineering teams build fun and technically sophisticated products that reach hundreds of millions of Snapchatters around the world, every day. We’re deeply committed to the well-being of everyone in our global community, which is why our values are at the root of everything we do. We move fast, with precision, and always execute with privacy at the forefront.
You’ll play a critical role in scaling our ML Infrastructure, optimizing AI training and inference systems, and driving innovations that make Snapchat’s ranking and recommendation systems more efficient and impactful.
We’re looking for a Software Engineer, ML Infrastructure to join Snap Inc!
Responsibilities:
- Design and optimize infrastructure systems for machine learning workloads at scale and drive reliability and efficiency improvements across Snapchat’s ML Infrastructure
- Develop high-performance inference systems to ensure fast and efficient AI model serving
- Build infrastructure to perform scalable ML model training, evaluation, and inference in the cloud
- Develop high-performance inference systems to ensure fast and efficient AI model serving
- Build comprehensive data management systems for scalable data collection, labeling, processing, and evaluation
- Work on state-of-the-art vector search algorithms to improve the precision, recall and scalability of our retrieval systems
- Work closely with ML engineers to deploy cutting-edge models into production
KNOWLEDGE, SKILLS & ABILITIES:
- Strong programming skills in Python, Java, Scala or C++
- Strong problem-solving skills with a focus on system performance, scalability, and efficiency
- Good understanding of distributed systems and the infrastructure components of large-scale ML
- Experience with big data processing frameworks such as Spark, Flink, or Ray
- Ability to collaborate and work well with others
- Proven track record of operating highly-available systems at significant scale
- Ability to proactively learn new concepts and apply them at work
MINIMUM QUALIFICATIONS:
- Bachelor’s degree in a technical field such as computer science or equivalent experience
- 6+ years of post-Bachelor’s software development experience; or Master’s degree in a technical field + 5+ years of post-grad software development experience; or PhD in a relevant technical field + 2+ years of post-grad software development experience
- Experience building large scale production machine learning systems, distributed systems or big data processing
PREFERRED QUALIFICATIONS:
- Masters/PhD in a technical field such as computer science or equivalent industry experience
- Experience working with ML Training platforms or optimizing AI model inference
- Familiarity with ML frameworks such as TensorFlow, PyTorch, Caffe2, Spark ML, scikit-learn, or related frameworks
If you have a disability or special need that requires accommodation, please don’t be shy and provide us some information.
"Default Together" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a “default together” approach and expect our team members to work in an office 4+ days per week.
At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, where applicable).
OUR BENEFITS:
Snap Inc. is its own community, so we’ve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap’s long-term success!
COMPENSATION
In the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position. These pay zones may be modified in the future.
Zone A (CA, WA, NYC):
The base salary range for this position is $209,000-$313,000 annually.
Zone B:
The base salary range for this position is $199,000-$297,000 annually.
Zone C:
The base salary range for this position is $178,000-$266,000 annually.
This position is eligible for equity in the form of RSUs.
See all 800+ 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.