AI ML Engineering Visa Sponsorship Jobs in Missouri
Missouri's AI/ML engineering market is anchored by employers like Mastercard and World Wide Technology in St. Louis, along with a growing set of technology firms in Kansas City. Companies here regularly sponsor H-1B visas for qualified engineers, and the state's research universities feed a steady pipeline of international talent into these roles.
Find AI ML Engineering JobsOverview
Showing 5 of 146+ AI ML Engineering Jobs in Missouri with Visa Sponsorship










See all 146+ AI ML Engineering Jobs in Missouri with Visa Sponsorship
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI ML Engineering Jobs in Missouri with Visa Sponsorship.
Get Access To All Jobs
INTRODUCTION
bioMerieux’s Data Science group is looking for an experienced Data Scientist to help develop solutions for the next generation product concepts that will have a direct impact on the future of medical diagnostics.
The position involves all aspects of feasibility and design work focused on the application of mathematical techniques, data analytics, experiment design, algorithm design and statistical analysis to drive concepts from ideation through feasibility and into development. Algorithm design will involve image processing and machine learning methodologies from design to optimization.
The position will include collaboration and interaction with other scientists and engineers while prototyping, integrating and testing the technology for the next generation of diagnostic products for hospitals and laboratories. Coordination as a project team member with marketing, project management, quality analytics, manufacturing, regulatory and other functional areas will be required.
The Data Scientist is expected to prototype and design to the goals of functionality and operational utility while considering long term architecture, solution universality, practicality, connectivity, and schedule commitments. The position requires the ability to perform critical analysis, work well in teams, and self-manage.
PRIMARY DUTIES
- Responsible for completeing tasks within the Data Science function, requiring close collaboration and coordination with other global engineering/scientific disciplines, departments, and third-party partners
- Encourages best practices in Data Science and lead the utilization of advanced theories, methods and research techniques in product development and manufacturing
- Mentoring others in the department on technology, methods and programming language utilization
- Build relationships with external development partners and prospective technology partners; co-develop and drive projects with these partners
- Represent Data Science on project teams and provides inputs to Project Management on a project-by-project basis. Provide Project Team inputs back to a sub-team of Data Scientists
- Candidate must be well grounded in fundamental and advanced concepts of applied mathematics, data analytics, statistics and image processing
- Performance of statistical analysis to interpret experimental results
- Design experimental methods and plans to generate results that drive critical product design selections
- Independent Development and implementation of algorithms using global software development tools, methodologies and processes
- Understanding and willingness to self-learn the technologies used in this domain to be up-to-date with the latest developments in data analytics, image processing and machine learning both in academia and in industry
- Enjoy working in areas outside of usual comfort zone and love to learn new technologies. Familiarity with or interest in biology, microbiology and biochemistry
- Proficient analytical, problem-solving and debugging skills. Must be able to perform in small team environment with minimal supervision
- Perform all work in compliance with company quality procedures and standards
- Perform other duties as assigned
QUALIFICATIONS
Required Education, Training, and Experience
- Bachelor degree required — Data Science, Applied Mathematics/Statistics, Electrical Engineering, Computer Science, Biomedical Engineering
- 5 years of professional related experience with Machine Learning, Statistics, Image Analysis, Signal/Time Series Analysis and Programming experience with Python or R, Code samples to be provided upon request
Preferred Education, Training, and Experience
- Masters or PhD preferred
- Work Experience in ISO or FDA regulated environment preferred
KNOWLEDGE, SKILLS, AND ABILITIES (KSAs)
- Consistently upholds and reflects the core ethical principles and values that bioMérieux promotes
- Effective Presentation Skills - including the ability to present technical data
- Analyze data and make decisions/recommendations, using data to guide decision-making and provide suggestions for improvement
- Critical thinking, using logic and reason to analyze information and make decisions in the workplace
- Ability to work cross-functionally allowing for better collaboration and communication when working across teams to achieve shared objectives
- Skilled in MS Office tools to include but not limited to Outlook, Teams, Word, and Excel
SUPERVISORY RESPONSIBILITIES (SUMMARY)
- Direct supervision: 0
- Indirect supervision: 0
- Decision-making scope:
- Short-term operational/tactical decisions with little-to-no supervisory review
- Long-term strategic decisions require supervisory approval
WORKING CONDITIONS (SUMMARY)
- Ability to remain in a stationary position for prolonged periods — Yes
- Ability to wear PPE correctly most of the day — Yes
- Typical office setting
- Domestic travel: 10%
- International travel: 0%
- Total travel: 10%
The estimated salary range for this role is between $115,000 and $160,000. This role is eligible to receive a variable annual bonus based on company, team, and individual performance per bioMerieux’s bonus program. This range may differ from ranges offered for similar positions elsewhere in the country given differences in cost of living. Actual compensation within this range is determined based on the successful candidate’s experience and will be presented in writing at the time of the offer.
In addition, bioMérieux offers a competitive Total Rewards package that may include:
- A choice of medical (including prescription), dental, and vision plans providing nationwide coverage and telemedicine options
- Company-Provided Life and Accidental Death Insurance
- Short and Long-Term Disability Insurance
- Retirement Plan including a generous non-discretionary employer contribution and employer match
- Adoption Assistance
- Wellness Programs
- Employee Assistance Program
- Commuter Benefits
- Various voluntary benefit offerings
- Discount programs
- Parental leaves
LI-JR1
AI ML Engineering Job Roles in Missouri
See all 146+ AI ML Engineering Jobs in Missouri
Sign up for free to filter by visa type, set job alerts, and find employers with verified sponsorship history.
Search AI ML Engineering Jobs in MissouriAI ML Engineering Jobs in Missouri: Frequently Asked Questions
Which companies sponsor visas for AI/ML engineers in Missouri?
St. Louis-based Mastercard and World Wide Technology are among the most active H-1B sponsors for technology roles in Missouri. Kansas City has seen growing sponsorship activity from financial technology and healthcare technology employers. Enterprise software and consulting firms operating in both cities also file H-1B petitions for AI and machine learning engineers on a recurring basis.
Which cities in Missouri have the most AI/ML engineering sponsorship jobs?
St. Louis and Kansas City account for the large majority of AI/ML engineering sponsorship activity in Missouri. St. Louis benefits from a concentration of financial technology, healthcare IT, and logistics companies with established international hiring programs. Kansas City has a growing technology sector, particularly in financial services and data engineering, that increasingly includes visa sponsorship for qualified candidates.
Which visa types are most common for AI/ML engineering roles in Missouri?
The H-1B is the most common visa category for AI/ML engineers in Missouri, as these roles consistently qualify as specialty occupations requiring at least a bachelor's degree in computer science, data science, or a related field. Candidates with Canadian or Mexican citizenship may also qualify under the TN visa. Those with extraordinary ability may explore the O-1A, though it requires substantial documentation of achievement.
How to find ai ml engineering visa sponsorship jobs in Missouri?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it straightforward to search for AI/ML engineering roles in Missouri without sifting through positions that don't sponsor. You can narrow results to St. Louis or Kansas City and focus on employers with documented sponsorship histories. Migrate Mate is built for international candidates, so every listing shown is relevant to your situation.
Are there state-specific factors that affect AI/ML engineering visa sponsorship in Missouri?
Missouri has a developing technology ecosystem compared to coastal hubs, which means fewer total sponsoring employers but also less competition for available roles at those companies. The presence of Washington University in St. Louis and the University of Missouri creates a local pipeline of AI/ML talent and research partnerships that some employers leverage when building international hiring programs. Prevailing wage requirements apply statewide and vary by metro area, which employers must account for when filing H-1B petitions.
What is the prevailing wage for sponsored ai ml engineering jobs in Missouri?
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.