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.
See All ML Software Engineer JobsOverview
Showing 5 of 47+ ML Software Engineer jobs
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
See all 47+ 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 JobsLocation:
San Jose
Team:
Technology
Employment Type:
Regular
Job Code:
A143350B
Responsibilities:
- Convert and compile ML models for execution on edge NPUs, and apply quantization mechanisms.
- Profile and analyze model performance and power consumption on simulators, emulators, and silicon platforms.
- Identify bottlenecks related to compute, memory bandwidth, data movement, and scheduling.
- Apply hardware-aware optimization strategies, such as quantization, compression and operator fusion, to meet latency, memory and power targets.
- Work closely with algorithm, compiler, firmware and hardware teams to debug functional and performance issues.
MINIMUM QUALIFICATIONS
- Master's degree in Computer Science, Electrical Engineering, Computer Engineering, or a related field, or equivalent practical experience.
- 3+ years of industry experience in machine learning software engineering, model deployment, or ML systems for production environments.
- Strong understanding of deep learning architectures, including CNNs and Transformers.
- Knowledge of ML accelerators' architectures, operator fusion, memory hierarchies, and data movements.
- Practical experience with popular ML frameworks, like PyTorch / TensorFlow.
- Proficiency in Python and C/C++.
PREFERRED QUALIFICATIONS
- 5+ years of industry experience in machine learning software engineering, model deployment, or ML systems for production environments.
- Understanding of model inference constraints on edge devices, including latency, power, and accuracy trade-offs and optimization techniques.
- Understanding of quantization techniques, such as PTQ and QAT.
COMPENSATION
- The base salary range for this position in the selected city is $212800 - $450000 annually.
Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.
Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).
The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
For Los Angeles County (unincorporated) Candidates:
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
-
Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
-
Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
-
Exercising sound judgment.
About Pico
Founded in April 2015, Pico is a VR company committed to developing immersive and interactive VR experiences for people around the world. Pico also provides tailor-made solutions for our enterprise clients in the fields of education and healthcare.
Why Join ByteDance
Inspiring creativity is at the core of ByteDance's mission. Our innovative products are built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and enrich life – a mission we work towards every day.
As ByteDancers, we strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our Company, and our users. When we create and grow together, the possibilities are limitless. Join us.
Diversity & Inclusion
ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
Reasonable Accommodation
ByteDance is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://tinyurl.com/RA-request
Location:
San Jose
Team:
Technology
Employment Type:
Regular
Job Code:
A143350B
Responsibilities:
- Convert and compile ML models for execution on edge NPUs, and apply quantization mechanisms.
- Profile and analyze model performance and power consumption on simulators, emulators, and silicon platforms.
- Identify bottlenecks related to compute, memory bandwidth, data movement, and scheduling.
- Apply hardware-aware optimization strategies, such as quantization, compression and operator fusion, to meet latency, memory and power targets.
- Work closely with algorithm, compiler, firmware and hardware teams to debug functional and performance issues.
MINIMUM QUALIFICATIONS
- Master's degree in Computer Science, Electrical Engineering, Computer Engineering, or a related field, or equivalent practical experience.
- 3+ years of industry experience in machine learning software engineering, model deployment, or ML systems for production environments.
- Strong understanding of deep learning architectures, including CNNs and Transformers.
- Knowledge of ML accelerators' architectures, operator fusion, memory hierarchies, and data movements.
- Practical experience with popular ML frameworks, like PyTorch / TensorFlow.
- Proficiency in Python and C/C++.
PREFERRED QUALIFICATIONS
- 5+ years of industry experience in machine learning software engineering, model deployment, or ML systems for production environments.
- Understanding of model inference constraints on edge devices, including latency, power, and accuracy trade-offs and optimization techniques.
- Understanding of quantization techniques, such as PTQ and QAT.
COMPENSATION
- The base salary range for this position in the selected city is $212800 - $450000 annually.
Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.
Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).
The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
For Los Angeles County (unincorporated) Candidates:
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
-
Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
-
Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
-
Exercising sound judgment.
About Pico
Founded in April 2015, Pico is a VR company committed to developing immersive and interactive VR experiences for people around the world. Pico also provides tailor-made solutions for our enterprise clients in the fields of education and healthcare.
Why Join ByteDance
Inspiring creativity is at the core of ByteDance's mission. Our innovative products are built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and enrich life – a mission we work towards every day.
As ByteDancers, we strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our Company, and our users. When we create and grow together, the possibilities are limitless. Join us.
Diversity & Inclusion
ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
Reasonable Accommodation
ByteDance is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://tinyurl.com/RA-request
See all 47+ 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 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 visa 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-1B1 visa 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.
See which ML Software Engineer employers are hiring and sponsoring visas right now.
Search ML Software Engineer Jobs