ML Engineer Visa Sponsorship Jobs in Iowa
Iowa's ML engineer job market centers on Des Moines and Iowa City, with employers like Principal Financial Group, Corteva Agriscience, and the University of Iowa driving demand for machine learning talent. Agricultural technology, insurance analytics, and financial services are the dominant industries sponsoring visa applications for ML engineers in the state.
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Get Access To All JobsINTRODUCTION
We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time.
At CVS Health, our purpose is to deliver better health outcomes by meeting consumers where they are—through local care, digital experiences, and a nationwide team committed to quality, safety, and affordability.
Our Solutions Engineering and Infrastructure organization is building an enterprise AI/ML capability that delivers reliable, responsible, and secure AI-powered platforms and solutions at Fortune 5 scale, and this role is foundational to help us develop that capability.
This is a senior individual-contributor role, focused on identifying evaluating and documenting high-value use cases, designing and prototyping AI-powered solutions, and evolving them into secure, resilient, enterprise-ready products and platform components.
ROLE AND RESPONSIBILITIES
Key Responsibilities:
AI Solution Design & Prototyping
- Partner with stakeholders to identify, evaluate, document, and shape GenAI use cases (copilots, automation, decision support, and insight generation) with clear success metrics.
- Design solution architectures that integrate LLMs with enterprise systems, data sources, and tool/function calling while meeting latency and reliability expectations.
- Develop prototypes rapidly and validate them through evaluation, red-teaming, and user feedback; document tradeoffs and recommendations.
Production Engineering & Enterprise Readiness
- Build production-grade services and full-stack experiences (APIs, UIs, workflows) with secure authentication/authorization, audit logging, and scalable deployment patterns.
- Implement safety, privacy, and compliance controls (e.g., PHI/PII protection, prompt injection defenses, data residency constraints, and policy-based filtering).
- Instrument solutions end-to-end with metrics, traces, logs, and model/app observability; contribute to SLOs, error budgets, and operational runbooks.
Model Enablement & Evaluation
- Build and maintain evaluation harnesses for LLM quality, safety, and business outcomes (offline tests, golden sets, regression suites, and online experiments).
- Implement RAG pipelines (chunking, embedding, vector search, reranking) and optimize for accuracy, cost, and latency.
- Collaborate with platform teams on deployment, monitoring, drift/quality detection, and incident response for model-backed services.
Reusable Components & Engineering Excellence
- Contribute reusable libraries and patterns for prompt management, retrieval, tool calling, and policy enforcement.
- Participate in design reviews and code reviews; mentor senior and mid-level engineers on GenAI engineering practices.
- Continuously improve developer experience through templates, CI/CD automation, and documentation that accelerates safe adoption.
BASIC QUALIFICATIONS
- 7+ years of software engineering supporting Data or AI/ML initiatives, including building and operating production services.
- 3+ years applying ML/AI in production; demonstrated hands-on GenAI delivery (LLMs, RAG, evaluation, and safety controls).
- 3+ years of experience delivering solutions in high-scale, high-availability environments with strong security and compliance requirements.
PREFERRED QUALIFICATIONS
- Strong full-stack engineering skills (backend services, APIs, and modern web application development) with a focus on reliability and security.
- Hands-on expertise with LLM application patterns: RAG, tool/function calling, prompt management, evaluation, and guardrails.
- Experience with Python and at least one additional backend language; familiarity with common ML libraries and serving frameworks.
- Working knowledge of containerization and Kubernetes, CI/CD, infrastructure-as-code concepts, and production observability.
- Ability to communicate clearly, influence across teams, and translate business needs into implementable technical plans.
Education
- Bachelor’s degree or equivalent experience (High School Diploma and 4 years relevant experience).
PAY RANGE
The typical pay range for this role is:
$106,605.00 - $284,280.00
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company’s equity award program.
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
GREAT BENEFITS FOR GREAT PEOPLE
We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.
This full-time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well-being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.
Additional details about available benefits are provided during the application process and on Benefits Moments.
We anticipate the application window for this opening will close on: 04/21/2026.
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
INTRODUCTION
We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time.
At CVS Health, our purpose is to deliver better health outcomes by meeting consumers where they are—through local care, digital experiences, and a nationwide team committed to quality, safety, and affordability.
Our Solutions Engineering and Infrastructure organization is building an enterprise AI/ML capability that delivers reliable, responsible, and secure AI-powered platforms and solutions at Fortune 5 scale, and this role is foundational to help us develop that capability.
This is a senior individual-contributor role, focused on identifying evaluating and documenting high-value use cases, designing and prototyping AI-powered solutions, and evolving them into secure, resilient, enterprise-ready products and platform components.
ROLE AND RESPONSIBILITIES
Key Responsibilities:
AI Solution Design & Prototyping
- Partner with stakeholders to identify, evaluate, document, and shape GenAI use cases (copilots, automation, decision support, and insight generation) with clear success metrics.
- Design solution architectures that integrate LLMs with enterprise systems, data sources, and tool/function calling while meeting latency and reliability expectations.
- Develop prototypes rapidly and validate them through evaluation, red-teaming, and user feedback; document tradeoffs and recommendations.
Production Engineering & Enterprise Readiness
- Build production-grade services and full-stack experiences (APIs, UIs, workflows) with secure authentication/authorization, audit logging, and scalable deployment patterns.
- Implement safety, privacy, and compliance controls (e.g., PHI/PII protection, prompt injection defenses, data residency constraints, and policy-based filtering).
- Instrument solutions end-to-end with metrics, traces, logs, and model/app observability; contribute to SLOs, error budgets, and operational runbooks.
Model Enablement & Evaluation
- Build and maintain evaluation harnesses for LLM quality, safety, and business outcomes (offline tests, golden sets, regression suites, and online experiments).
- Implement RAG pipelines (chunking, embedding, vector search, reranking) and optimize for accuracy, cost, and latency.
- Collaborate with platform teams on deployment, monitoring, drift/quality detection, and incident response for model-backed services.
Reusable Components & Engineering Excellence
- Contribute reusable libraries and patterns for prompt management, retrieval, tool calling, and policy enforcement.
- Participate in design reviews and code reviews; mentor senior and mid-level engineers on GenAI engineering practices.
- Continuously improve developer experience through templates, CI/CD automation, and documentation that accelerates safe adoption.
BASIC QUALIFICATIONS
- 7+ years of software engineering supporting Data or AI/ML initiatives, including building and operating production services.
- 3+ years applying ML/AI in production; demonstrated hands-on GenAI delivery (LLMs, RAG, evaluation, and safety controls).
- 3+ years of experience delivering solutions in high-scale, high-availability environments with strong security and compliance requirements.
PREFERRED QUALIFICATIONS
- Strong full-stack engineering skills (backend services, APIs, and modern web application development) with a focus on reliability and security.
- Hands-on expertise with LLM application patterns: RAG, tool/function calling, prompt management, evaluation, and guardrails.
- Experience with Python and at least one additional backend language; familiarity with common ML libraries and serving frameworks.
- Working knowledge of containerization and Kubernetes, CI/CD, infrastructure-as-code concepts, and production observability.
- Ability to communicate clearly, influence across teams, and translate business needs into implementable technical plans.
Education
- Bachelor’s degree or equivalent experience (High School Diploma and 4 years relevant experience).
PAY RANGE
The typical pay range for this role is:
$106,605.00 - $284,280.00
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company’s equity award program.
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
GREAT BENEFITS FOR GREAT PEOPLE
We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.
This full-time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well-being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.
Additional details about available benefits are provided during the application process and on Benefits Moments.
We anticipate the application window for this opening will close on: 04/21/2026.
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
ML Engineer Job Roles in Iowa
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Search ML Engineer Jobs in IowaML Engineer Jobs in Iowa: Frequently Asked Questions
Which companies sponsor visas for ML engineers in Iowa?
Principal Financial Group, Corteva Agriscience, Collins Aerospace, and John Deere have histories of sponsoring H-1B visas for technical roles including ML engineers. The University of Iowa and Iowa State University also sponsor ML and data science positions. Iowa's agricultural technology sector has expanded ML hiring, making agri-tech firms an increasingly relevant category alongside financial services and insurance companies.
Which visa types are most common for ML engineer roles in Iowa?
The H-1B is the most common visa for ML engineers in Iowa, as the role qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, statistics, or a related field. F-1 graduates from Iowa State University or the University of Iowa often work on OPT before their employer files an H-1B petition. O-1 visas are an option for candidates with exceptional published research or industry recognition.
Which cities in Iowa have the most ML engineer sponsorship jobs?
Des Moines accounts for the largest share of ML engineer sponsorship activity in Iowa, driven by its concentration of financial services and insurance firms. Iowa City and Ames follow, largely due to the University of Iowa and Iowa State University respectively, both of which generate research roles and spin-off hiring. Cedar Rapids also has relevant employers in technology and manufacturing with documented H-1B filing histories.
How to find ml engineer visa sponsorship jobs in Iowa?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it straightforward to find ML engineer roles in Iowa without sifting through positions that don't offer sponsorship. You can search by state and role to surface relevant openings at employers like Principal Financial Group or Corteva Agriscience. Creating a profile on Migrate Mate also helps match your background to Iowa-based ML engineer roles actively seeking sponsored candidates.
Are there state-specific considerations for ML engineers pursuing visa sponsorship in Iowa?
Iowa's lower cost of living compared to coastal tech hubs affects prevailing wage calculations, which employers must meet when filing H-1B Labor Condition Applications through the Department of Labor. Iowa State University and the University of Iowa have strong computer science and data science programs that create local pipelines into sponsored roles, meaning competition for entry-level positions can include recent graduates already on OPT. Agricultural technology is a sector unique to Iowa where ML skills in computer vision and predictive modeling are in demand.
What is the prevailing wage for sponsored ml engineer jobs in Iowa?
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.
See which ml engineer employers are hiring and sponsoring visas in Iowa right now.
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