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.
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Get Access To All JobsAbout The Team
Grindr is an AI-native platform powering how millions of gay people connect globally. With 15M+ monthly users, 130B+ annual messages, and a team of fewer than 200, we move fast, stay lean, and tackle technical problems at a scale few companies ever see. We at Grindr believe that AI can revolutionize the dating industry. As a Staff MLOps Engineer, you will build and own the infrastructure, tooling, and scalable systems that make high-impact AI possible. You’ll architect and maintain the platforms that power data ingestion, feature computation, model training, automated evaluation, deployment, and ongoing monitoring for the ML teams building recommendations, LLM-based experiences, ads, visual search, growth, and trust & safety. You will design foundational systems that allow our ML engineers to experiment faster, ship models more reliably, and operate them with confidence in production. At Grindr, we operate in Grindr Mode. Moderately hardcore day to day, truly hardcore when it counts. It’s about doing great work without burning out. Outcomes over outputs. Smart, driven people who raise your bar, with room to live full lives. This is a hybrid role based in our Bay Area (SF or Palo Alto) or our Chicago offices and will require you to be in office Tuesdays and Thursdays.
About The Job
- Build and maintain end-to-end ML pipelines for data ingestion, feature computation, model training, validation, deployment, and inference, all at substantial scale of data
- Stand up and manage a feature store, ensuring feature consistency, lineage, and reuse across teams
- Expertise with best in class tools for managing deployment, scheduling, and environments and how to use them in the specialized regime of ML Infrastructure
- Develop automated model deployment workflows with CI/CD, safe rollout strategies, and reproducibility guarantees
- Implement monitoring and observability for ML systems, including data quality checks, drift detection, performance metrics, and alerting
- Build and support training environments with experiment tracking, distributed training, hyperparameter tuning, and artifact and environment management
- Collaborate with ML engineers and data engineers to streamline workflows, improve model iteration speed, and enforce MLOps best practices
- Ensure reliability, scalability, and maintainability of ML systems through strong engineering and operational rigor
Role Requirements
- Bachelor’s degree in CS, Engineering, Mathematics, or related field
- 5+ years experience in MLOps, ML platform engineering, ML infrastructure, or similar roles
- Strong experience building production ML pipelines and supporting end-to-end ML workflows
- Excellent engineering fundamentals: Python, SQL, bash, Git
- Experience with big data and distributed compute: Snowflake, Spark/pySpark, Airflow, Kubernetes, Docker, Helm
- Experience with ML frameworks (PyTorch, TensorFlow) sufficient to support training pipelines and deployment workflows
- Strong understanding of cloud platforms (AWS, GCP, or Azure)
- Ability to produce well-engineered, maintainable software with tests, documentation, and operational rigor
- Experience with data quality frameworks, observability tooling, or experiment tracking systems
You May Thrive In This Role If You
- Experience implementing full model lifecycle management (from data → training → deployment → monitoring)
- Experience with vector databases, embeddings pipelines, or retrieval systems
- Familiarity with NLP/LLM-based data pipelines or image/vision data workflows
- Experience with recommendation system infrastructure
- Strong grasp of classical ML concepts as they relate to platform design
- Knowledge of data governance, compliance, retention, and classification
- Track record of partnering with research/ML teams to operationalize models at scale
Benefits And Perks
- Health, Dental & Vision Full premium coverage for you. Partial coverage for dependents
- Family Formation Up to $300,000 in fertility and family-building support, covering IVF, surrogacy, egg freezing, and adoption
- Retirement: 401(k) with 6% match and immediate vesting
- Compensation: Industry-competitive compensation, company bonus, and equity for every employee
- Gender-Affirming Care: Industry-leading gender-affirming offerings with up to 90% cost coverage, access to Included Health, monthly stipends for HRT, and more
- Time Off & Rest Flexible vacation policy. Two company-wide rest weeks per year
- Other Benefits: Monthly stipends for cell phone, internet, wellness, food, and commuting, breakfast/lunch
About Grindr
Grindr is building the Global Gayborhood in your Pocket. With more than 15 million monthly active users, Grindr has become a fundamental part of the gay community and is charting a path to make the world more free, equal, and just. As a public company, we're moving into the next chapter: becoming an AI-native organization that's redefining what's possible for our community. We're embedding AI into our product and operations, moving with startup speed while operating at scale. Everything we do is rooted in impact for our users and outcomes for the business. This isn't social work, it’s impact through excellence. Business success is what gives us the power to serve our community and the seat at tables others can't reach. How we work is defined by Grindr Mode, our operating model that's moderately hardcore day-to-day and truly hardcore when it counts. We think like owners, drive real outcomes, create clarity through action, and push each other to go further than we thought possible. We’re headquartered in West Hollywood with offices in the Bay Area, Chicago, and New York. Our work extends beyond the product through Grindr for Equality, our nonprofit that's partnered with 100+ community organizations globally to advance safety, health, and human rights for LGBTQ+ people worldwide. We're profitable, growing, and building a team of smart, driven people who bring different backgrounds, experiences, and perspectives to the work. Want to build technology at a massive scale that serves millions? Come join us!
Grindr is an equal-opportunity employer.
To learn more about how we handle the personal data of applicants, visit our Employee and Candidate Privacy Policy.
About The Team
Grindr is an AI-native platform powering how millions of gay people connect globally. With 15M+ monthly users, 130B+ annual messages, and a team of fewer than 200, we move fast, stay lean, and tackle technical problems at a scale few companies ever see. We at Grindr believe that AI can revolutionize the dating industry. As a Staff MLOps Engineer, you will build and own the infrastructure, tooling, and scalable systems that make high-impact AI possible. You’ll architect and maintain the platforms that power data ingestion, feature computation, model training, automated evaluation, deployment, and ongoing monitoring for the ML teams building recommendations, LLM-based experiences, ads, visual search, growth, and trust & safety. You will design foundational systems that allow our ML engineers to experiment faster, ship models more reliably, and operate them with confidence in production. At Grindr, we operate in Grindr Mode. Moderately hardcore day to day, truly hardcore when it counts. It’s about doing great work without burning out. Outcomes over outputs. Smart, driven people who raise your bar, with room to live full lives. This is a hybrid role based in our Bay Area (SF or Palo Alto) or our Chicago offices and will require you to be in office Tuesdays and Thursdays.
About The Job
- Build and maintain end-to-end ML pipelines for data ingestion, feature computation, model training, validation, deployment, and inference, all at substantial scale of data
- Stand up and manage a feature store, ensuring feature consistency, lineage, and reuse across teams
- Expertise with best in class tools for managing deployment, scheduling, and environments and how to use them in the specialized regime of ML Infrastructure
- Develop automated model deployment workflows with CI/CD, safe rollout strategies, and reproducibility guarantees
- Implement monitoring and observability for ML systems, including data quality checks, drift detection, performance metrics, and alerting
- Build and support training environments with experiment tracking, distributed training, hyperparameter tuning, and artifact and environment management
- Collaborate with ML engineers and data engineers to streamline workflows, improve model iteration speed, and enforce MLOps best practices
- Ensure reliability, scalability, and maintainability of ML systems through strong engineering and operational rigor
Role Requirements
- Bachelor’s degree in CS, Engineering, Mathematics, or related field
- 5+ years experience in MLOps, ML platform engineering, ML infrastructure, or similar roles
- Strong experience building production ML pipelines and supporting end-to-end ML workflows
- Excellent engineering fundamentals: Python, SQL, bash, Git
- Experience with big data and distributed compute: Snowflake, Spark/pySpark, Airflow, Kubernetes, Docker, Helm
- Experience with ML frameworks (PyTorch, TensorFlow) sufficient to support training pipelines and deployment workflows
- Strong understanding of cloud platforms (AWS, GCP, or Azure)
- Ability to produce well-engineered, maintainable software with tests, documentation, and operational rigor
- Experience with data quality frameworks, observability tooling, or experiment tracking systems
You May Thrive In This Role If You
- Experience implementing full model lifecycle management (from data → training → deployment → monitoring)
- Experience with vector databases, embeddings pipelines, or retrieval systems
- Familiarity with NLP/LLM-based data pipelines or image/vision data workflows
- Experience with recommendation system infrastructure
- Strong grasp of classical ML concepts as they relate to platform design
- Knowledge of data governance, compliance, retention, and classification
- Track record of partnering with research/ML teams to operationalize models at scale
Benefits And Perks
- Health, Dental & Vision Full premium coverage for you. Partial coverage for dependents
- Family Formation Up to $300,000 in fertility and family-building support, covering IVF, surrogacy, egg freezing, and adoption
- Retirement: 401(k) with 6% match and immediate vesting
- Compensation: Industry-competitive compensation, company bonus, and equity for every employee
- Gender-Affirming Care: Industry-leading gender-affirming offerings with up to 90% cost coverage, access to Included Health, monthly stipends for HRT, and more
- Time Off & Rest Flexible vacation policy. Two company-wide rest weeks per year
- Other Benefits: Monthly stipends for cell phone, internet, wellness, food, and commuting, breakfast/lunch
About Grindr
Grindr is building the Global Gayborhood in your Pocket. With more than 15 million monthly active users, Grindr has become a fundamental part of the gay community and is charting a path to make the world more free, equal, and just. As a public company, we're moving into the next chapter: becoming an AI-native organization that's redefining what's possible for our community. We're embedding AI into our product and operations, moving with startup speed while operating at scale. Everything we do is rooted in impact for our users and outcomes for the business. This isn't social work, it’s impact through excellence. Business success is what gives us the power to serve our community and the seat at tables others can't reach. How we work is defined by Grindr Mode, our operating model that's moderately hardcore day-to-day and truly hardcore when it counts. We think like owners, drive real outcomes, create clarity through action, and push each other to go further than we thought possible. We’re headquartered in West Hollywood with offices in the Bay Area, Chicago, and New York. Our work extends beyond the product through Grindr for Equality, our nonprofit that's partnered with 100+ community organizations globally to advance safety, health, and human rights for LGBTQ+ people worldwide. We're profitable, growing, and building a team of smart, driven people who bring different backgrounds, experiences, and perspectives to the work. Want to build technology at a massive scale that serves millions? Come join us!
Grindr is an equal-opportunity employer.
To learn more about how we handle the personal data of applicants, visit our Employee and Candidate Privacy Policy.
See all 185+ 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.