ML Software Engineer Jobs in USA with Visa Sponsorship
ML Software Engineer roles are among the most actively sponsored positions in the U.S. tech industry. Employers regularly file H-1B visa and O-1 visa petitions for qualified candidates, and specialty occupation approval rates for machine learning roles are high given the clear degree-to-role alignment. For detailed occupation requirements, see the O*NET profile.
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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 4,761+ 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
Lead with your tech stack, not your job title
Hiring managers sponsoring ML engineers want to see PyTorch, TensorFlow, or JAX upfront. Listing frameworks before your title signals technical depth immediately and separates you from generalist software engineers competing for the same roles.
Target companies with an active H-1B filing history
Sponsorship willingness varies significantly by employer. Focus on companies that have consistently filed H-1B petitions for ML roles in prior years. This history is public record and tells you more than any recruiter's vague assurance about sponsorship.
Frame your degree as directly tied to the role
USCIS scrutinizes specialty occupation claims. If your degree is in computer science, statistics, or a related quantitative field, make that connection explicit in applications. Ambiguous degree-to-role alignment is the most common reason ML petitions face additional review.
Highlight published research or patents if you have them
Publications and patents strengthen both H-1B specialty occupation arguments and O-1A extraordinary ability petitions. Even a single co-authored paper on a relevant ML topic adds meaningful credibility to a sponsorship package for this role.
Apply to roles that specify a master's or PhD requirement
Postings requiring an advanced degree in machine learning or AI signal stronger sponsorship intent and clearer specialty occupation documentation. These roles also tend to move faster through USCIS review because the degree-to-role connection is harder to dispute.
Prepare for a longer hiring timeline when sponsorship is involved
H-1B cap-subject petitions must align with the April lottery window. If you're interviewing outside that cycle, ask employers about cap-exempt options, O-1 alternatives, or transfer from an existing valid status to avoid gaps in work authorization.
Frequently Asked Questions
Do ML Software Engineer roles qualify as H-1B specialty occupations?
Yes. Machine learning engineering consistently qualifies as a specialty occupation because the role requires at minimum a bachelor's degree in a specific field such as computer science, mathematics, or statistics. USCIS has approved H-1B visa petitions for ML engineers at high rates when the job description clearly requires theoretical knowledge applied to complex model development, not just general software development tasks.
What degree do I need for an employer to sponsor my H-1B as an ML Software Engineer?
A bachelor's degree or higher in computer science, electrical engineering, mathematics, statistics, or a closely related quantitative field is the standard requirement. A general business or unrelated degree makes sponsorship significantly harder because USCIS will question whether the role genuinely requires that specific academic background. Some employers also accept foreign three-year degrees if accompanied by relevant graduate study or substantial work experience.
Are ML Software Engineer roles eligible for the O-1A visa as an alternative to H-1B?
Yes, and it's a strong alternative for candidates with a research background. The O-1A requires demonstrating extraordinary ability through criteria like published papers, conference presentations, high compensation relative to peers, or judging others' work. ML engineers with NeurIPS, ICML, or ICLR publications, or those who have contributed to widely adopted open-source models, often meet multiple criteria without needing the H-1B lottery.
How competitive is H-1B sponsorship for ML roles compared to other software engineering positions?
ML Software Engineer roles attract sponsorship from a wide range of employers, including large tech companies and well-funded AI startups, which increases your options relative to more generalist engineering titles. However, because demand for these roles is high, cap-subject H-1B slots fill quickly. Candidates who browse ML-specific openings on Migrate Mate can filter for employers with confirmed sponsorship history, which meaningfully improves selection odds.
Can I switch employers on an H-1B as an ML Software Engineer?
Yes. H-1B portability allows you to start working for a new employer as soon as the transfer petition is filed, without waiting for approval, provided you've been in valid H-1B status. The new employer must file a fresh I-129 petition with a new Labor Condition Application reflecting the updated role and location. For ML roles, the specialty occupation argument typically transfers cleanly as long as the new position has comparable technical requirements.
What is the prevailing wage requirement for sponsored ML Software Engineer jobs?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.
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