Machine Learning Visa Sponsorship Jobs in Utah
Utah's machine learning job market centers on Salt Lake City's growing tech sector, with employers like Adobe, Qualtrics, and Recursion Pharmaceuticals actively hiring ML engineers and researchers. The University of Utah's computer science pipeline feeds regional demand. International candidates with H-1B sponsorship experience will find legitimate opportunities across software, biotech, and data-driven industries statewide.
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Get Access To All JobsINTRODUCTION
Opportunity to join the industries top AI Consulting firm, building out both traditional machine learning and cutting-edge generative AI projects of the future!
ABOUT THE ROLE
We are seeking a dynamic and innovative Machine Learning Solution Architect to join our team. This role is a unique opportunity to join a passionate and mission-driven team that is building a 100 million dollar company looking to quadruple in scale. The successful candidate will be responsible for developing and implementing machine learning models, utilizing AWS, Python, Scala, and other technologies to design and develop data pipelines. The role requires a deep understanding of Spark, Snowflake, and experience consulting. The candidate should have a minimum of 6 years of experience in a similar role.
WHY JOIN US?
- Competitive Base Salary
- Company paid health plan for employees
- Flexible Hours
- Very generous PTO
- Dental and Vision, FSA, HSA
- Small team, autonomy
- Many more great perks!
JOB DETAILS
Responsibilities:
- Design, develop, and implement end-to-end cloud-based machine learning production pipelines (data exploration, sampling, training data generation, feature engineering, model building, and performance evaluation).
- Ensure the robustness, scalability, and enterprise-level security of solutions.
- Collaborate with the data science team to transform prototypes into new products, services, and features.
- Build and maintain data platforms for machine learning model development, ensuring that data is readily available for insight generation.
- Develop and maintain scalable data pipelines and build out new API integrations to support continuing increases in data volume and complexity.
- Collaborate with cross-functional teams to understand their business needs and proactively suggest / implement solutions to leverage technology and data.
- Provide thought-leadership and consulting services across the business, leading internal teams in the application of ML techniques and practices.
- Stay up-to-date with the latest industry trends and technologies to ensure the team is utilizing the best techniques and tools.
BASIC QUALIFICATIONS
- Bachelor’s degree in Computer Science, Information Technology, or a related field. Master’s degree or PhD will be a plus.
- Minimum of 6 years of experience as a Machine Learning Engineer or similar role.
- Demonstrated experience with ML Model, AWS, Python, Scala, Data pipelines, Spark, Snowflake, and consulting.
- Proven experience in designing and implementing machine learning solutions at scale on AWS.
- Solid experience in software development with a focus on quality, performance, and scalability.
- Proven ability to design and implement robust data pipelines.
- Strong experience with data modeling, data access, and data storage techniques.
- Excellent communication skills with the ability to effectively convey complex technical concepts to non-technical stakeholders.
- Strong problem-solving skills, attention to detail, and ability to think creatively.
- Ability to work independently and as part of a team in a fast-paced, dynamic environment.
- Strong passion for learning and adapting to new technologies.
- AWS Certified Machine Learning or similar certification will be a plus.
Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button.
INTRODUCTION
Opportunity to join the industries top AI Consulting firm, building out both traditional machine learning and cutting-edge generative AI projects of the future!
ABOUT THE ROLE
We are seeking a dynamic and innovative Machine Learning Solution Architect to join our team. This role is a unique opportunity to join a passionate and mission-driven team that is building a 100 million dollar company looking to quadruple in scale. The successful candidate will be responsible for developing and implementing machine learning models, utilizing AWS, Python, Scala, and other technologies to design and develop data pipelines. The role requires a deep understanding of Spark, Snowflake, and experience consulting. The candidate should have a minimum of 6 years of experience in a similar role.
WHY JOIN US?
- Competitive Base Salary
- Company paid health plan for employees
- Flexible Hours
- Very generous PTO
- Dental and Vision, FSA, HSA
- Small team, autonomy
- Many more great perks!
JOB DETAILS
Responsibilities:
- Design, develop, and implement end-to-end cloud-based machine learning production pipelines (data exploration, sampling, training data generation, feature engineering, model building, and performance evaluation).
- Ensure the robustness, scalability, and enterprise-level security of solutions.
- Collaborate with the data science team to transform prototypes into new products, services, and features.
- Build and maintain data platforms for machine learning model development, ensuring that data is readily available for insight generation.
- Develop and maintain scalable data pipelines and build out new API integrations to support continuing increases in data volume and complexity.
- Collaborate with cross-functional teams to understand their business needs and proactively suggest / implement solutions to leverage technology and data.
- Provide thought-leadership and consulting services across the business, leading internal teams in the application of ML techniques and practices.
- Stay up-to-date with the latest industry trends and technologies to ensure the team is utilizing the best techniques and tools.
BASIC QUALIFICATIONS
- Bachelor’s degree in Computer Science, Information Technology, or a related field. Master’s degree or PhD will be a plus.
- Minimum of 6 years of experience as a Machine Learning Engineer or similar role.
- Demonstrated experience with ML Model, AWS, Python, Scala, Data pipelines, Spark, Snowflake, and consulting.
- Proven experience in designing and implementing machine learning solutions at scale on AWS.
- Solid experience in software development with a focus on quality, performance, and scalability.
- Proven ability to design and implement robust data pipelines.
- Strong experience with data modeling, data access, and data storage techniques.
- Excellent communication skills with the ability to effectively convey complex technical concepts to non-technical stakeholders.
- Strong problem-solving skills, attention to detail, and ability to think creatively.
- Ability to work independently and as part of a team in a fast-paced, dynamic environment.
- Strong passion for learning and adapting to new technologies.
- AWS Certified Machine Learning or similar certification will be a plus.
Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button.
Machine Learning Job Roles in Utah
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Search Machine Learning Jobs in UtahMachine Learning Jobs in Utah: Frequently Asked Questions
Which companies sponsor visas for machine learning roles in Utah?
Several Utah-based employers have established H-1B sponsorship histories for machine learning roles, including Adobe's Lehi offices, Qualtrics, Recursion Pharmaceuticals, and smaller AI-focused startups concentrated in the Silicon Slopes corridor. Large technology employers and life sciences companies are generally more experienced with sponsorship processes than early-stage startups, which may lack in-house immigration infrastructure.
Which visa types are most common for machine learning jobs in Utah?
The H-1B is the most common visa for machine learning professionals in Utah, as ML engineer and data scientist roles typically meet the specialty occupation standard requiring a bachelor's degree or higher in computer science, statistics, or a related field. Candidates already holding O-1A visas for extraordinary ability or L-1B visas transferring within a multinational employer also appear in the Utah market.
Which cities in Utah have the most machine learning sponsorship jobs?
Salt Lake City and the Silicon Slopes corridor, covering Lehi, Draper, and Provo, concentrate the majority of Utah's machine learning sponsorship activity. Adobe's large Lehi campus, the Qualtrics headquarters in Provo, and the University of Utah's research ecosystem in Salt Lake City are the primary anchors. Smaller pockets of ML hiring exist in Ogden tied to defense and manufacturing technology.
How to find machine learning visa sponsorship jobs in Utah?
Migrate Mate filters machine learning roles specifically by visa sponsorship willingness, so you can browse Utah opportunities without sorting through employers unlikely to sponsor. For machine learning candidates, filtering by industry, including software, biotech, and fintech, narrows results to Utah's strongest hiring sectors. Migrate Mate also surfaces company-level sponsorship history, which helps you prioritize outreach to employers already familiar with the H-1B process.
Are there state-specific factors that affect machine learning sponsorship hiring in Utah?
Utah's relatively lower cost of living compared to coastal tech hubs means prevailing wage requirements for machine learning roles are set at levels reflecting the Salt Lake City and Provo metropolitan labor markets, which differ from San Francisco or New York benchmarks. Employers filing Labor Condition Applications must meet Department of Labor prevailing wage standards for each specific location, so the same ML job title carries different wage obligations depending on the Utah city listed on the petition.
What is the prevailing wage for sponsored machine learning jobs in Utah?
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.
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