H-1B Visa Senior Mlops Engineer Jobs
Senior MLOps Engineers qualify for H-1B visa sponsorship under the specialty occupation category, with employers filing a Labor Condition Application before your petition. Roles combining ML infrastructure, model deployment, and pipeline automation at scale meet USCIS's degree-in-a-specific-field requirement, making this one of the stronger H-1B visa job categories in tech.
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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 H-1B Visa Senior Mlops Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B Visa Senior Mlops Engineer Jobs.
Get Access To All JobsTips for Finding H-1B Visa Sponsorship as a Senior Mlops Engineer
Frame your MLOps scope for USCIS
Document that your role requires a degree in computer science, data science, or a directly related field. USCIS scrutinizes hybrid titles like MLOps more than pure software engineering roles, so your offer letter and job description should specify the theoretical and technical knowledge the position demands.
Check employer LCA filing history first
Use Migrate Mate to filter Senior MLOps Engineer roles by verified DOL Labor Condition Application history, so you only target employers who have actually sponsored H-1B petitions for comparable ML infrastructure positions, not just those who list sponsorship as a possibility.
Verify your wage level against OFLC data
Before accepting an offer, run your job title and metro area through the OFLC Wage Search to confirm your offered salary meets at least the Level II prevailing wage. A wage below the certified LCA level is a filing error that can trigger a DOL audit.
Identify cap-exempt employers in your pipeline space
Universities, nonprofit research labs, and government-affiliated AI institutes are cap-exempt, meaning your petition bypasses the annual lottery. MLOps engineers supporting academic model training pipelines or federal research workloads often qualify, and these employers can file year-round without waiting for April registration.
Time your job search around the H-1B registration window
USCIS opens H-1B registration each March for the fiscal year starting October 1. If you're on OPT, align your offer timeline so your start date falls after cap selection. A cap-gap extension covers your status between OPT expiration and October 1 if your petition is selected and pending.
Request premium processing for infrastructure-critical roles
Premium processing guarantees a 15-business-day USCIS decision on your I-129 petition. For senior MLOps positions where onboarding timelines affect production deployments, premium processing protects both you and your employer from extended uncertainty during adjudication.
H-1B Visa Senior Mlops Engineer: Frequently Asked Questions
Does a Senior MLOps Engineer role qualify as a specialty occupation for H-1B purposes?
Yes, provided the job requires at least a bachelor's degree in a specific technical field such as computer science, data science, or machine learning engineering. USCIS evaluates the position itself, not just the title. Your employer's job description should explicitly state the theoretical and applied knowledge required, since hybrid titles like MLOps receive closer scrutiny than traditional software engineering roles.
Which employers actually sponsor H-1B visas for Senior MLOps Engineers?
Employers who sponsor H-1B visas for MLOps roles appear in DOL's public LCA disclosure data, which records every certified petition by job title, wage level, and location. Migrate Mate surfaces this data so you can browse Senior MLOps Engineer roles filtered to verified H-1B sponsors, rather than applying to companies that list sponsorship as a possibility but have no filing history.
How does the prevailing wage requirement affect MLOps job offers?
Your employer must certify in the LCA that your offered salary meets the DOL prevailing wage for a Senior MLOps Engineer in your specific metro area. Wage levels vary significantly by location, with Level III and IV wages applying to senior roles. You can verify the applicable wage tier using the OFLC Wage Search before negotiating your offer.
Can I transfer my H-1B to a new employer if I switch MLOps roles?
Yes. Under H-1B portability, you can start working for a new employer as soon as they file a new I-129 petition on your behalf, without waiting for approval, as long as your prior petition was approved and you've maintained valid status. The new employer must file a fresh LCA and petition covering the specific MLOps role and work location.
Does MLOps work covered under a statement of work or contractor arrangement affect H-1B sponsorship?
It can. USCIS requires that the petitioning employer exercise day-to-day control over your work. If you're placed at a third-party client site, USCIS may issue a Request for Evidence questioning whether the sponsor is your true employer. Direct-hire roles at the sponsoring company are straightforward; staffing or consulting arrangements require additional documentation to establish employer control.