H-1B Visa Senior Mlops Engineer Jobs
Senior MLOps Engineers qualify for H-1B 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 job categories in tech.
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Get Access To All JobsINTRODUCTION
Build a Safer World. TRM Labs provides blockchain analytics and AI solutions to help law enforcement and national security agencies, financial institutions, and cryptocurrency businesses detect, investigate, and disrupt crypto-related fraud and financial crime. TRM’s blockchain intelligence and AI platforms include solutions to trace the source and destination of funds, identify illicit activity, build cases, and construct an operating picture of threats. TRM is trusted by leading agencies and businesses worldwide who rely on TRM to enable a safer, more secure world for all. The AI Engineering Team is chartered with enabling next-generation AI applications, with a special focus on Large Language Models (LLMs) and agentic systems. Our mission is to build robust pipelines, high-performance infrastructure, and operational tooling that allow AI systems to be deployed with speed, safety, and scale. We manage petabyte-scale pipelines, serve models with millisecond-level latency, and provide the observability and governance needed to make AI production-ready. We’re also deeply involved in evaluating and integrating cutting-edge tools in the LLM and agent space — including open-source stacks, vector databases, evaluation frameworks, and orchestration tools that unlock TRM’s ability to innovate faster than the market.
ROLE AND RESPONSIBILITIES
As a Senior MLOps Engineer With a Focus In LLMOps, You’ll Be At The Core Of Building And Scaling The Technical Infrastructure For AI/ML Systems. You Will:
- Build reusable CI/CD workflows for model training, evaluation, and deployment — integrating Langfuse, GitHub Actions, and experiment tracking, etc.
- Automate model versioning, approval workflows, and compliance checks across environments.
- Build out a modular and scalable AI infrastructure stack — including vector databases, feature stores, model registries, and observability tooling.
- Partner with engineering and data science to embed AI models and agents into real-time applications and workflows.
- Continuously evaluate and integrate state-of-the-art AI tools (e.g. LangChain, LlamaIndex, vLLM, MLflow, BentoML, etc.).
- Drive AI reliability and governance, enabling experimentation while ensuring compliance, security, and uptime.
- Build and enhance AI/ML Model Performance.
- Ensure data accuracy, consistency and reliability, leading to better model training and inferencing.
- Deploy infrastructure to support offline and online evaluation of LLMs and agents — including regression testing, cost monitoring, and human-in-the-loop workflows.
- Enable researchers to iterate quickly by providing sandboxes, dashboards, and reproducible environments.
BASIC QUALIFICATIONS
What We’re Looking For:
- Write high-quality, maintainable software — primarily in Python, but we value engineering ability over language familiarity.
- Have a strong background in scalable infrastructure, including:
- Containerization and orchestration (e.g. Docker, Kubernetes)
- Infrastructure-as-code and deployment (e.g. Terraform, CI/CD pipelines)
- Monitoring and logging frameworks (e.g. Datadog, Prometheus, OpenTelemetry)
- Understand and implement ML Ops best practices, including:
- Model versioning and rollback strategies
- Automated evaluation and drift detection
- Scalable model and agent serving infrastructure (e.g. vLLM, Triton, BentoML)
- Deploy and maintain LLM and agentic workflows in production, including:
- Monitoring cost, latency, and performance
- Capturing traces for analysis and debugging
- Optimizing prompt/response flows with real-time data access
- Demonstrate strong ownership and pragmatism, balancing infrastructure elegance with iterative delivery and measurable impact.
PREFERRED QUALIFICATIONS
Learn About TRM Speed In This Position:
- Rapid Issue Resolution. TRM Engineers identify and resolve critical onsite issues in minutes to hours, not weeks. We create virtual war rooms, implement fixes, and share lessons with both customer stakeholders and internal teams within 48 hours.
- Navigating Bureaucracy. We anticipate and address procedural hurdles, build trust with key stakeholders, and find alternative pathways to approvals. This keeps projects moving even in complex environments.
- Efficient Knowledge Transfer. Engineers document and share updates in real time, ensuring the entire team—onsite and remote—has full visibility into plans, blockers, and resolutions. Knowledge sharing sessions and clear documentation reduce friction and accelerate delivery.
ABOUT TRM'S ENGINEERING LEVELS
Engineer: Responsible for helping to define project milestones and executing small decision decisions independently with the appropriate tradeoffs between simplicity, readability, and performance. Provides mentorship to junior engineers, and enhances operational excellence through tech debt reduction and knowledge sharing.
Senior Engineer: Successfully designs and documents system improvements and features for an OKR/project from the ground up. Consistently delivers efficient and reusable systems, optimizes team throughput with appropriate tradeoffs, mentors team members, and enhances cross-team collaboration through documentation and knowledge sharing.
Staff Engineer: Drives scoping and execution of one or more OKRs/projects that impact multiple teams. Partners with stakeholders to set the team vision and technical roadmaps for one or more products. Is a role model and mentor to the entire engineering organization. Ensures system health and quality with operational reviews, testing strategies, and monitoring rigor.
COMPENSATION
The following represents the expected range of compensation for this role:
- Individual pay is determined by skills, qualifications, experience, and location. The compensation details listed in this posting reflect the US base salary only.
- The estimated base salary range for this role is $200,000 - $220,000.
- Additionally, this role may be eligible to participate in TRM’s equity plan.
- Please note – we factor in the different costs for geographies outside the United States.
LIFE AT TRM
We are building a safer world. That promise shows up in how we work every day. TRM runs fast. Really fast. We’re a high-velocity, high-ownership team that expects clarity, follow-through, and impact. People who thrive here are energized by hard problems, experimentation, and direct feedback. If something takes months elsewhere, it often ships here in days. That pace isn’t for everyone. If you are optimizing primarily for consistent work-life balance, use the interview process to pressure-test fit. We want teammates who thrive here, not just survive here.
AI FLUENCY AT TRM
AI fluency is a baseline expectation at TRM. We believe AI meaningfully changes how top performers operate. We expect every team member to use AI to accelerate and reimagine their craft, not just automate surface tasks. At TRM, AI Fluency Means You Are Among The Top 10 Percent Of Operators In Your Function In How You Apply AI To:
- Accelerate repeatable workflows
- Structure and solve problems
- Improve output quality
- Increase speed and leverage
You will be evaluated on applied AI fluency during the interview process.
LEADERSHIP PRINCIPLES
We hire and grow against three leadership principles. They’re the standards for how we operate, treat each other, and make decisions.
- Impact-Oriented Trailblazer: We put customers first and move with speed, focus, and adaptability. We treat every plan like an experiment – test, ship, measure, and iterate quickly.
- Master Craftsperson: We care deeply about our craft. We balance speed with high standards, own outcomes end-to-end, and invest in getting better everyday.
- Inspiring Colleague: We add clarity and energy, not noise. We bring humility, candor, and a one-team mindset — giving and receiving feedback to make the team stronger.
INTERVIEWING AT TRM: HOW WE HIRE AND WHAT SUCCESS LOOKS LIKE
The impact you will have:
This work has real stakes. Depending on your role at TRM, your week might look like:
- Driving critical investigations that can’t wait for typical business hours.
- Shipping products in days when others would schedule quarters.
- Partnering with teams across time zones to deliver insights while the story is still unfolding.
- Building new solutions from first principles when the playbook doesn’t yet exist.
- Protecting victims and customers by tracing illicit activity and disrupting criminal networks.
JOIN OUR MISSION
At TRM we care deeply about our craft. We are looking for individuals who want their work to matter, who experiment with speed and rigor, and who take pride in building a safer world for billions of people. If you’re excited by TRM’s mission but don’t check every box, we encourage you to apply — we hire for slope, judgment, and the will to learn fast. TRM is a Series C company with $220M in total funding, backed by Blockchain Capital, Goldman Sachs, Bessemer, Y Combinator, Thoma Bravo, and others. Headquartered in San Francisco, TRM operates as a distributed-first company with hubs in Los Angeles, San Francisco, New York, Washington D.C., London, and Singapore.
PRIVACY POLICY AND ADDITIONAL INFORMATION
By submitting your application, you are agreeing to allow TRM to process your personal information in accordance with the TRM Privacy Policy. Our typical hiring cycles for specialized roles span 24 to 36 months. Accordingly, we retain your personal information for up to 36 months to evaluate your application and to consider you for current and future employment opportunities, unless you request earlier deletion or a different retention period is required or permitted by law. To notify TRM Labs that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this form.
RECRUITMENT AGENCIES
TRM Labs does not accept unsolicited agency resumes. Please do not forward resumes to TRM employees. TRM Labs is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company without a signed agreement.
LEARN MORE
Company Values | Interviewing | FAQs
INTRODUCTION
Build a Safer World. TRM Labs provides blockchain analytics and AI solutions to help law enforcement and national security agencies, financial institutions, and cryptocurrency businesses detect, investigate, and disrupt crypto-related fraud and financial crime. TRM’s blockchain intelligence and AI platforms include solutions to trace the source and destination of funds, identify illicit activity, build cases, and construct an operating picture of threats. TRM is trusted by leading agencies and businesses worldwide who rely on TRM to enable a safer, more secure world for all. The AI Engineering Team is chartered with enabling next-generation AI applications, with a special focus on Large Language Models (LLMs) and agentic systems. Our mission is to build robust pipelines, high-performance infrastructure, and operational tooling that allow AI systems to be deployed with speed, safety, and scale. We manage petabyte-scale pipelines, serve models with millisecond-level latency, and provide the observability and governance needed to make AI production-ready. We’re also deeply involved in evaluating and integrating cutting-edge tools in the LLM and agent space — including open-source stacks, vector databases, evaluation frameworks, and orchestration tools that unlock TRM’s ability to innovate faster than the market.
ROLE AND RESPONSIBILITIES
As a Senior MLOps Engineer With a Focus In LLMOps, You’ll Be At The Core Of Building And Scaling The Technical Infrastructure For AI/ML Systems. You Will:
- Build reusable CI/CD workflows for model training, evaluation, and deployment — integrating Langfuse, GitHub Actions, and experiment tracking, etc.
- Automate model versioning, approval workflows, and compliance checks across environments.
- Build out a modular and scalable AI infrastructure stack — including vector databases, feature stores, model registries, and observability tooling.
- Partner with engineering and data science to embed AI models and agents into real-time applications and workflows.
- Continuously evaluate and integrate state-of-the-art AI tools (e.g. LangChain, LlamaIndex, vLLM, MLflow, BentoML, etc.).
- Drive AI reliability and governance, enabling experimentation while ensuring compliance, security, and uptime.
- Build and enhance AI/ML Model Performance.
- Ensure data accuracy, consistency and reliability, leading to better model training and inferencing.
- Deploy infrastructure to support offline and online evaluation of LLMs and agents — including regression testing, cost monitoring, and human-in-the-loop workflows.
- Enable researchers to iterate quickly by providing sandboxes, dashboards, and reproducible environments.
BASIC QUALIFICATIONS
What We’re Looking For:
- Write high-quality, maintainable software — primarily in Python, but we value engineering ability over language familiarity.
- Have a strong background in scalable infrastructure, including:
- Containerization and orchestration (e.g. Docker, Kubernetes)
- Infrastructure-as-code and deployment (e.g. Terraform, CI/CD pipelines)
- Monitoring and logging frameworks (e.g. Datadog, Prometheus, OpenTelemetry)
- Understand and implement ML Ops best practices, including:
- Model versioning and rollback strategies
- Automated evaluation and drift detection
- Scalable model and agent serving infrastructure (e.g. vLLM, Triton, BentoML)
- Deploy and maintain LLM and agentic workflows in production, including:
- Monitoring cost, latency, and performance
- Capturing traces for analysis and debugging
- Optimizing prompt/response flows with real-time data access
- Demonstrate strong ownership and pragmatism, balancing infrastructure elegance with iterative delivery and measurable impact.
PREFERRED QUALIFICATIONS
Learn About TRM Speed In This Position:
- Rapid Issue Resolution. TRM Engineers identify and resolve critical onsite issues in minutes to hours, not weeks. We create virtual war rooms, implement fixes, and share lessons with both customer stakeholders and internal teams within 48 hours.
- Navigating Bureaucracy. We anticipate and address procedural hurdles, build trust with key stakeholders, and find alternative pathways to approvals. This keeps projects moving even in complex environments.
- Efficient Knowledge Transfer. Engineers document and share updates in real time, ensuring the entire team—onsite and remote—has full visibility into plans, blockers, and resolutions. Knowledge sharing sessions and clear documentation reduce friction and accelerate delivery.
ABOUT TRM'S ENGINEERING LEVELS
Engineer: Responsible for helping to define project milestones and executing small decision decisions independently with the appropriate tradeoffs between simplicity, readability, and performance. Provides mentorship to junior engineers, and enhances operational excellence through tech debt reduction and knowledge sharing.
Senior Engineer: Successfully designs and documents system improvements and features for an OKR/project from the ground up. Consistently delivers efficient and reusable systems, optimizes team throughput with appropriate tradeoffs, mentors team members, and enhances cross-team collaboration through documentation and knowledge sharing.
Staff Engineer: Drives scoping and execution of one or more OKRs/projects that impact multiple teams. Partners with stakeholders to set the team vision and technical roadmaps for one or more products. Is a role model and mentor to the entire engineering organization. Ensures system health and quality with operational reviews, testing strategies, and monitoring rigor.
COMPENSATION
The following represents the expected range of compensation for this role:
- Individual pay is determined by skills, qualifications, experience, and location. The compensation details listed in this posting reflect the US base salary only.
- The estimated base salary range for this role is $200,000 - $220,000.
- Additionally, this role may be eligible to participate in TRM’s equity plan.
- Please note – we factor in the different costs for geographies outside the United States.
LIFE AT TRM
We are building a safer world. That promise shows up in how we work every day. TRM runs fast. Really fast. We’re a high-velocity, high-ownership team that expects clarity, follow-through, and impact. People who thrive here are energized by hard problems, experimentation, and direct feedback. If something takes months elsewhere, it often ships here in days. That pace isn’t for everyone. If you are optimizing primarily for consistent work-life balance, use the interview process to pressure-test fit. We want teammates who thrive here, not just survive here.
AI FLUENCY AT TRM
AI fluency is a baseline expectation at TRM. We believe AI meaningfully changes how top performers operate. We expect every team member to use AI to accelerate and reimagine their craft, not just automate surface tasks. At TRM, AI Fluency Means You Are Among The Top 10 Percent Of Operators In Your Function In How You Apply AI To:
- Accelerate repeatable workflows
- Structure and solve problems
- Improve output quality
- Increase speed and leverage
You will be evaluated on applied AI fluency during the interview process.
LEADERSHIP PRINCIPLES
We hire and grow against three leadership principles. They’re the standards for how we operate, treat each other, and make decisions.
- Impact-Oriented Trailblazer: We put customers first and move with speed, focus, and adaptability. We treat every plan like an experiment – test, ship, measure, and iterate quickly.
- Master Craftsperson: We care deeply about our craft. We balance speed with high standards, own outcomes end-to-end, and invest in getting better everyday.
- Inspiring Colleague: We add clarity and energy, not noise. We bring humility, candor, and a one-team mindset — giving and receiving feedback to make the team stronger.
INTERVIEWING AT TRM: HOW WE HIRE AND WHAT SUCCESS LOOKS LIKE
The impact you will have:
This work has real stakes. Depending on your role at TRM, your week might look like:
- Driving critical investigations that can’t wait for typical business hours.
- Shipping products in days when others would schedule quarters.
- Partnering with teams across time zones to deliver insights while the story is still unfolding.
- Building new solutions from first principles when the playbook doesn’t yet exist.
- Protecting victims and customers by tracing illicit activity and disrupting criminal networks.
JOIN OUR MISSION
At TRM we care deeply about our craft. We are looking for individuals who want their work to matter, who experiment with speed and rigor, and who take pride in building a safer world for billions of people. If you’re excited by TRM’s mission but don’t check every box, we encourage you to apply — we hire for slope, judgment, and the will to learn fast. TRM is a Series C company with $220M in total funding, backed by Blockchain Capital, Goldman Sachs, Bessemer, Y Combinator, Thoma Bravo, and others. Headquartered in San Francisco, TRM operates as a distributed-first company with hubs in Los Angeles, San Francisco, New York, Washington D.C., London, and Singapore.
PRIVACY POLICY AND ADDITIONAL INFORMATION
By submitting your application, you are agreeing to allow TRM to process your personal information in accordance with the TRM Privacy Policy. Our typical hiring cycles for specialized roles span 24 to 36 months. Accordingly, we retain your personal information for up to 36 months to evaluate your application and to consider you for current and future employment opportunities, unless you request earlier deletion or a different retention period is required or permitted by law. To notify TRM Labs that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this form.
RECRUITMENT AGENCIES
TRM Labs does not accept unsolicited agency resumes. Please do not forward resumes to TRM employees. TRM Labs is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company without a signed agreement.
LEARN MORE
Company Values | Interviewing | FAQs
See all 51+ Senior Mlops Engineer jobs
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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.
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Find Senior Mlops Engineer JobsSenior Mlops Engineer H-1B Visa: 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.
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