H-1B Visa Mlops Engineer Jobs
MLOps Engineer roles qualify for H-1B visa sponsorship as specialty occupations requiring at least a bachelor's degree in computer science, data engineering, or a related field. Employers across cloud infrastructure, fintech, and AI product companies file H-1B petitions for this role, with LCA prevailing wage levels typically falling at Level II or III under the SOC code for Software Developers.
Find H-1B Visa Mlops Engineer JobsOverview
Showing 5 of 16+ Mlops Engineer jobs
See all 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 JobsResponsibilities
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 H-1B Visa Mlops Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B Visa Mlops Engineer Jobs.
Get Access To All JobsTips for Finding H-1B Visa Sponsorship as a Mlops Engineer
Match your SOC code before applying
MLOps Engineers are typically filed under Software Developers or Computer Occupations SOC codes. Check your offer letter's job duties align with the SOC code your employer plans to use, since a mismatch can trigger an RFE during adjudication.
Verify prevailing wage before accepting offers
Use the OFLC Wage Search to look up the prevailing wage for the SOC code and location in your offer. If the offered salary falls below Level II, your employer's LCA certification is at risk, which stalls the H-1B petition entirely.
Target employers with LCA filings for ML roles
Use Migrate Mate to filter for employers with verified LCA filing history in machine learning and MLOps roles. This cuts out companies that express interest but have no demonstrated track record of H-1B sponsorship for technical AI positions.
Document cloud platform certifications before filing
USCIS scrutinizes specialty occupation for MLOps roles because the title is still relatively new. AWS, GCP, or Azure ML certifications, combined with a transcript showing relevant coursework, strengthen the specialty occupation argument in your I-129 petition.
Clarify who files the LCA with your recruiter
Some employers outsource immigration to a third-party vendor who may delay DOL LCA submission. Confirm during the offer stage that the employer will file the LCA directly or through counsel before your start date, not after onboarding begins.
Use the cap-gap window if your OPT expires mid-pipeline
If you're on OPT and your H-1B is selected in the lottery but not yet approved by October 1, the cap-gap provision automatically extends your work authorization. Confirm your employer knows to keep your start date at October 1 or later to stay within this window.
H-1B Visa Mlops Engineer: Frequently Asked Questions
Does an MLOps Engineer role qualify as a specialty occupation for H-1B purposes?
Yes. MLOps Engineer roles qualify as specialty occupations under H-1B rules when the position requires at least a bachelor's degree in computer science, data engineering, software engineering, or a closely related field. USCIS looks at whether the degree requirement is standard for the role in the industry, so job descriptions that list a specific technical degree as required, not preferred, are stronger petition candidates. Roles that accept any bachelor's degree regardless of field are harder to defend.
Which employers sponsor H-1B visas for MLOps Engineers?
Cloud infrastructure companies, AI product startups, financial services firms, and large tech employers are the most consistent H-1B sponsors for MLOps roles. Employers that run production ML systems at scale tend to have established immigration processes and file LCAs regularly under relevant SOC codes. Migrate Mate lets you browse MLOps Engineer roles filtered by employers with verified H-1B filing history, so you're not applying blind.
What SOC code does USCIS typically use for MLOps Engineer H-1B petitions?
Employers most commonly file MLOps Engineer petitions under the Software Developers SOC code or, in some cases, Computer Occupations. The choice affects the prevailing wage level your employer must certify on the LCA. Ask your employer's immigration counsel which SOC code they plan to use before the LCA is submitted, since switching after certification requires refiling with DOL.
Can I transfer my H-1B to a new employer if my MLOps role changes scope significantly?
Yes, you can transfer your H-1B to a new employer through H-1B portability without waiting for full approval, as long as you file the new petition while your current status is valid and you've been in lawful H-1B status for at least one year. If the new role involves a materially different job description, the new employer files a fresh I-129 petition with a new LCA rather than a simple transfer. Portability lets you start the new job once the transfer petition is filed, not after approval.
How does the H-1B lottery affect MLOps Engineers trying to plan their job search timeline?
The H-1B cap lottery opens in March each year for an October 1 start date, so MLOps Engineers on OPT need a job offer in hand by late February to be included. If you're not selected, your employer can reenter you in subsequent years or explore cap-exempt employers, such as universities and certain nonprofit research organizations, which can file H-1B petitions year-round outside the cap. O*NET lists MLOps-adjacent occupations if you need to verify job zone classification for planning purposes.