Mlops Engineer Jobs in USA with Visa Sponsorship
MLOps Engineer roles are among the most actively sponsored positions in the U.S. tech industry, with employers regularly filing H-1B visa petitions for qualified candidates. Most openings require a degree in computer science, data science, or a related engineering field to meet specialty occupation standards. For detailed occupation requirements, see the O*NET profile.
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The monetization technology team works on building and running large-scale, globally distributed, fault-tolerant ads systems. SREs keep the systems up and running with the highest level of availability, ensuring our users have the best experience possible. We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Successful candidates must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume. Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to our Company and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.
Responsibilities:
- Define and drive Service Level Objectives (SLOs) for online machine learning inference systems, ensuring the reliability, availability, and performance of large-scale production inference services.
- Ensure the reliability and operational excellence of offline machine learning training pipelines, continuously improving training job success rates.
- Drive infrastructure capacity planning and resource management for machine learning workloads, ensuring compute resources meet evolving business demands while continuously improving GPU and CPU utilization through performance optimization.
- Lead the enablement of new machine learning frameworks and GPU platforms, driving large-scale production deployment while maintaining model quality and business performance.
- Design, build, and maintain MLOps platforms and automation tools, including quota management, job diagnostics, monitoring and observability, resource management, and operational tooling.
Qualifications
Minimum Qualifications:
- Individuals who are completing or have recently completed a Bachelor’s/ Master’s degree in Computer Science or a related discipline.
- Expertise in Linux operating systems, networking, storage.
- Experience programming in at least one of the following programming languages: Python, Go, C, C++, or Java.
- Experience in troubleshooting application issues, or production operations.
- Effective communication skills and a sense of ownership and drive.
Preferred Qualifications:
- Experience in SRE of machine learning systems.
- Experience in SRE of ads/recommendation/search systems.
By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy
Job Information
【For Pay Transparency】Compensation Description (Annually)
The base salary range for this position in the selected city is $128000 - $256000 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;
- Exercising sound judgment.
About TikTok
TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
Why Join Us
Inspiring creativity is at the core of TikTok's mission. Our innovative product is 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 bring joy - a mission we work towards every day. 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. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. 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
TikTok 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 TikTok, our mission is to inspire creativity and bring joy. 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.
TikTok Accommodation
TikTok 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
Responsibilities
The monetization technology team works on building and running large-scale, globally distributed, fault-tolerant ads systems. SREs keep the systems up and running with the highest level of availability, ensuring our users have the best experience possible. We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Successful candidates must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume. Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to our Company and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.
Responsibilities:
- Define and drive Service Level Objectives (SLOs) for online machine learning inference systems, ensuring the reliability, availability, and performance of large-scale production inference services.
- Ensure the reliability and operational excellence of offline machine learning training pipelines, continuously improving training job success rates.
- Drive infrastructure capacity planning and resource management for machine learning workloads, ensuring compute resources meet evolving business demands while continuously improving GPU and CPU utilization through performance optimization.
- Lead the enablement of new machine learning frameworks and GPU platforms, driving large-scale production deployment while maintaining model quality and business performance.
- Design, build, and maintain MLOps platforms and automation tools, including quota management, job diagnostics, monitoring and observability, resource management, and operational tooling.
Qualifications
Minimum Qualifications:
- Individuals who are completing or have recently completed a Bachelor’s/ Master’s degree in Computer Science or a related discipline.
- Expertise in Linux operating systems, networking, storage.
- Experience programming in at least one of the following programming languages: Python, Go, C, C++, or Java.
- Experience in troubleshooting application issues, or production operations.
- Effective communication skills and a sense of ownership and drive.
Preferred Qualifications:
- Experience in SRE of machine learning systems.
- Experience in SRE of ads/recommendation/search systems.
By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy
Job Information
【For Pay Transparency】Compensation Description (Annually)
The base salary range for this position in the selected city is $128000 - $256000 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;
- Exercising sound judgment.
About TikTok
TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
Why Join Us
Inspiring creativity is at the core of TikTok's mission. Our innovative product is 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 bring joy - a mission we work towards every day. 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. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. 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
TikTok 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 TikTok, our mission is to inspire creativity and bring joy. 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.
TikTok Accommodation
TikTok 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 18,919+ Mlops Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Mlops Engineer roles.
Get Access To All JobsTips for Finding Visa Sponsorship as a Mlops Engineer
Target companies with a proven H-1B filing history
Large tech employers and AI-focused startups file H-1B petitions for MLOps roles at high rates. Focusing your search on companies with consistent sponsorship records significantly improves your odds of receiving a petition before the lottery.
Make sure your degree field aligns with the role
USCIS treats MLOps as a specialty occupation requiring a degree in computer science, data engineering, or a related technical field. A business or unrelated degree, even with strong experience, can complicate your petition and invite a Request for Evidence.
Get proficient with the full MLOps toolchain
Employers filing H-1B petitions for MLOps Engineers typically list specific tools like Kubernetes, MLflow, Kubeflow, and CI/CD pipelines in LCAs. Demonstrating hands-on experience with these tools strengthens both your candidacy and the specialty occupation argument.
Understand cap-exempt employer opportunities
Universities, nonprofit research institutions, and affiliated organizations are exempt from the H-1B lottery cap. MLOps roles at these employers can be filed any time of year, giving candidates who miss the lottery a practical alternative path to status.
Consider the O-1A visa if you have recognized research contributions
MLOps Engineers with published papers, conference presentations, open-source project recognition, or roles at cutting-edge AI labs may qualify for the O-1A. It has no annual cap and no lottery, making it a strong fallback for high-achieving candidates.
Browse Migrate Mate for roles filtered by sponsorship availability
Not every job listing makes sponsorship eligibility clear upfront. Migrate Mate surfaces MLOps Engineer openings from employers actively willing to sponsor, saving you from applying to roles where sponsorship was never on the table.
Frequently Asked Questions
Does MLOps Engineer qualify as a specialty occupation for H-1B purposes?
Yes, MLOps Engineer consistently qualifies as a specialty occupation under USCIS standards. The role requires theoretical and practical application of computer science, machine learning systems design, and software engineering, all of which demand at minimum a bachelor's degree in a directly related field. Approval rates for software and ML engineering roles remain among the highest across H-1B visa petitions.
What degree do I need for an employer to sponsor my H-1B as an MLOps Engineer?
A bachelor's degree or higher in computer science, data science, machine learning, electrical engineering, or a closely related technical discipline is the standard requirement. Degrees in unrelated fields, even combined with relevant experience, can weaken the specialty occupation argument. If your degree is in a tangential area, an attorney can assess whether your coursework and experience still support the petition.
How competitive is H-1B sponsorship for MLOps Engineers compared to other tech roles?
MLOps is a high-demand specialization, and employers filing for these roles tend to be well-resourced companies familiar with the sponsorship process. That said, all cap-subject H-1B petitions still go through the same lottery. In recent fiscal years, selection rates have hovered around 20 to 30 percent, so candidates benefit from targeting multiple employers and exploring cap-exempt alternatives simultaneously.
Can I get sponsored as an MLOps Engineer if I'm currently on OPT or STEM OPT?
Yes, and this is one of the most common paths. If you're on F-1 OPT, your employer files an H-1B petition in March for an October 1 start. STEM OPT extensions give computer science and engineering graduates up to three additional years of work authorization, providing a meaningful runway to secure sponsorship even if you miss the first lottery cycle.
Where can I find MLOps Engineer jobs where employers are open to sponsorship?
Migrate Mate is built specifically for international candidates seeking sponsored roles. You can browse MLOps Engineer openings filtered by employers willing to sponsor work visas, which removes the friction of discovering mid-process that a company won't file a petition. This is especially useful for candidates who need to move quickly due to OPT or grace period deadlines.
What is the prevailing wage requirement for sponsored Mlops 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.