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
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 844+ H-1B1 Singapore Visa AI ML Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B1 Singapore Visa AI ML Engineer Jobs.
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.