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 JobsApple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other’s ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It’s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you’ll do more than join something - you’ll add something.
Are you interested in applying machine learning and generative AI technologies to create innovative user experiences? Are you looking to bring your expertise to help build intelligent features that are reaching hundreds of millions of users across Apple platforms? We are an applied machine learning team located in Cupertino, California, part of the Input Experience group that is responsible for building machine learning technologies that enable magical user experiences like Math Notes, Smart Script, and Scribble. We are seeking an outstanding Machine Learning Engineer to help build our next generation of products.
Description
As a member of the team you will be responsible for bringing innovative ideas and applying modern machine learning methods to solve problems that matter. From ideation to productization, you will participate in the full development cycle of core technologies, including handwriting and text recognition, handwriting synthesis, document understanding, freeform drawing recognition and generation. The ideal candidate should have experience in computer vision, speech recognition, deep learning, and/or other applications of machine learning systems.
Minimum Qualifications
PhD or MSc in Computer Science, Computer Engineering or a closely related field.
Industry experience in building product features based on ML including generative models or multimodal LLMs.
Experience with image processing, computer vision, speech recognition, or natural language processing.
Proven track record of programming, debugging, and design skill.
Preferred Qualifications
Detailed knowledge of one or more of the following programming languages: C++, C, Objective-C, or Swift.
Experience with common ML toolchain such as PyTorch, TensorFlow, or JAX.
Proficiency with Unix, iOS, or macOS development.
Excellent problem solving, critical thinking, and interpersonal skills.
Ability to produce creative and innovative solutions to challenging problems.
Enthusiastic about building end-to-end experiences using machine learning.
High-quality communication skills and ability to work through ambiguity.
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $147,400 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other’s ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It’s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you’ll do more than join something - you’ll add something.
Are you interested in applying machine learning and generative AI technologies to create innovative user experiences? Are you looking to bring your expertise to help build intelligent features that are reaching hundreds of millions of users across Apple platforms? We are an applied machine learning team located in Cupertino, California, part of the Input Experience group that is responsible for building machine learning technologies that enable magical user experiences like Math Notes, Smart Script, and Scribble. We are seeking an outstanding Machine Learning Engineer to help build our next generation of products.
Description
As a member of the team you will be responsible for bringing innovative ideas and applying modern machine learning methods to solve problems that matter. From ideation to productization, you will participate in the full development cycle of core technologies, including handwriting and text recognition, handwriting synthesis, document understanding, freeform drawing recognition and generation. The ideal candidate should have experience in computer vision, speech recognition, deep learning, and/or other applications of machine learning systems.
Minimum Qualifications
PhD or MSc in Computer Science, Computer Engineering or a closely related field.
Industry experience in building product features based on ML including generative models or multimodal LLMs.
Experience with image processing, computer vision, speech recognition, or natural language processing.
Proven track record of programming, debugging, and design skill.
Preferred Qualifications
Detailed knowledge of one or more of the following programming languages: C++, C, Objective-C, or Swift.
Experience with common ML toolchain such as PyTorch, TensorFlow, or JAX.
Proficiency with Unix, iOS, or macOS development.
Excellent problem solving, critical thinking, and interpersonal skills.
Ability to produce creative and innovative solutions to challenging problems.
Enthusiastic about building end-to-end experiences using machine learning.
High-quality communication skills and ability to work through ambiguity.
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $147,400 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
See all 187+ H-1B1 Singapore Visa ML Research Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B1 Singapore Visa ML Research Engineer Jobs.
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.