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Machine Learning Visa Sponsorship Jobs (NOW HIRING)

SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and ... We are unable to sponsor or take over sponsorship of an employment Visa at this time. Health ...

SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and ... We are unable to sponsor or take over sponsorship of an employment Visa at this time. Health ...

They are seeking a Machine Learning Engineer to develop AI-powered features that extract insights ... visa sponsorship now or in the future Preferred : • Familiarity with the LangChain ecosystem ...

Together, Hive's solutions are transforming content moderation, brand protection, sponsorship ... Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco ...

Machine Learning Manager

Seattle, WA · On-site

$180K - $250K/yr

Together, Hive's solutions are transforming content moderation, brand protection, sponsorship ... Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco ...

Together, Hive's solutions are transforming content moderation, brand protection, sponsorship ... Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco ...

Together, Hive's solutions are transforming content moderation, brand protection, sponsorship ... Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco ...

Machine Learning Lead Engineer

Redan, GA · On-site

$134K - $224K/yr

No OPT, CPT, STEM/OPT or visa sponsorship now or in future. * Bachelor's degree in a related discipline and 6 years' experience in Machine Learning; or a different combination, such as a master ...

No OPT, CPT, STEM/OPT or visa sponsorship now or in future. * Bachelor's degree in a related discipline and 6 years' experience in Machine Learning; or a different combination, such as a master ...

Machine Learning Lead Engineer

Smyrna, GA · On-site

$134K - $224K/yr

No OPT, CPT, STEM/OPT or visa sponsorship now or in future. * Bachelor's degree in a related discipline and 6 years' experience in Machine Learning; or a different combination, such as a master ...

No OPT, CPT, STEM/OPT or visa sponsorship now or in future. * Bachelor's degree in a related discipline and 6 years' experience in Machine Learning; or a different combination, such as a master ...

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Machine Learning Visa Sponsorship information

See salary details

$25.5K

$42.6K

$88K

How much do machine learning visa sponsorship jobs pay per year?

As of Jun 9, 2026, the average yearly pay for machine learning visa sponsorship in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

What types of projects and responsibilities can I expect as a Machine Learning professional in a company offering visa sponsorship?

As a Machine Learning professional in a visa-sponsored role, you’ll typically work on projects involving data preprocessing, developing and training models, and deploying solutions to solve real-world business problems. Your daily responsibilities may include collaborating with data engineers and domain experts, conducting experiments, optimizing algorithms, and communicating findings to both technical and non-technical stakeholders. Teams are often international and diverse, providing valuable cross-cultural experience and opportunities for personal growth. Many companies also encourage ongoing learning and offer pathways to progress into senior or specialized roles, making this a great environment to advance your career.

What are the key skills and qualifications needed to thrive in the Machine Learning Visa Sponsorship position, and why are they important?

To thrive in a Machine Learning role with visa sponsorship, candidates typically need a strong background in computer science, statistics, and mathematics, often supported by a relevant degree or equivalent experience. Proficiency with programming languages such as Python or R, experience with popular machine learning libraries (like TensorFlow, PyTorch, or scikit-learn), and familiarity with cloud computing platforms are commonly required, as are certifications like AWS Certified Machine Learning. Strong problem-solving abilities, communication skills, and the ability to collaborate effectively in diverse teams help candidates stand out. These skills are critical for building robust, scalable machine learning solutions while working efficiently in international and multidisciplinary environments.

What is a Machine Learning Visa Sponsorship job?

A Machine Learning Visa Sponsorship job is a role in the field of machine learning where an employer is willing to sponsor a work visa for a qualified candidate. These jobs are typically offered by companies facing a shortage of local talent and seeking skilled professionals from other countries. Sponsorship can cover visas such as the H-1B (U.S.), Skilled Worker visa (UK), or other work permits depending on the country. Candidates usually need strong expertise in machine learning, AI, data science, or related fields. Employers may also assist with relocation and legal work authorization processes.

What cities are hiring for Machine Learning Visa Sponsorship jobs? Cities with the most Machine Learning Visa Sponsorship job openings:
What are the most commonly searched types of Machine Learning Visa Sponsorship jobs? The most popular types of Machine Learning Visa Sponsorship jobs are:
What states have the most Machine Learning Visa Sponsorship jobs? States with the most job openings for Machine Learning Visa Sponsorship jobs include:
Infographic showing various Machine Learning Visa Sponsorship job openings in the United States as of May 2026, with employment types broken down into 39% Full Time, 59% Part Time, 1% Contract, and 1% Nights. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.

Machine Learning Engineer

Q2 Software, Inc.

Austin, TX • On-site

Full-time

Medical

Posted 17 days ago


Job description

As passionate about our people as we are about our mission.
Why Join Q2?
Q2 is a leading provider of digital banking and lending solutions to banks, credit unions, alternative finance companies, and fintechs in the U.S. and internationally. Our mission is simple: build strong and diverse communities through innovative financial technology-and we do that by empowering our people to help create success for our customers.
What Makes Q2 Special?
Being as passionate about our people as we are about our mission. We celebrate our employees in many ways, including our "Circle of Awesomeness" award ceremony and day of employee celebration among others! We invest in the growth and development of our team members through ongoing learning opportunities, mentorship programs, internal mobility, and meaningful leadership relationships. We also know that nothing builds trust and collaboration like having fun. We hold an annual Dodgeball for Charity event at our Q2 Stadium in Austin, inviting other local companies to play, and community organizations we support to raise money and awareness together.
SUMMARY
The Machine Learning Engineer provides hands-on expertise in designing, implementing, and scaling AI solutions, while collaborating with cross-functional teams to advance machine learning capabilities and support business innovation.
Note: Specific tools, technologies, certifications, or travel requirements may be customized by the hiring manager
RESPONSIBILITIES
• Design and implement machine learning algorithms and models for various business applications
• Conduct research and experimentation to advance machine learning capabilities
• Collaborate with cross-functional teams to integrate AI solutions into production environments
• Analyze large datasets to extract meaningful insights and support data-driven decisions
• Develop scalable machine learning pipelines and systems
• Maintain up-to-date knowledge of emerging AI and machine learning trends
• Ensure the quality and performance of AI systems through testing and validation
EXPERIENCE AND KNOWLEDGE
• Bachelor's degree in related field and 5-8 years relevant experience
• Proven experience in ML model development and deployment
• Strong knowledge of statistics, optimization, probability theory, and experimental methodologies
• Proficiency in programming languages such as Python, R, or Java
• Experience with ML frameworks/libraries (TensorFlow, PyTorch, scikit-learn)
• Familiarity with cloud platforms and scalable computing resources
• Strong analytical, problem-solving, and collaboration skills
This position requires fluent written and oral communication in English.
Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.
Health & Wellness
  • Hybrid Work Opportunities
  • Flexible Time Off
  • Career Development & Mentoring Programs
  • Health & Wellness Benefits, including competitive health insurance offerings and generous paid parental leave for eligible new parents
  • Community Volunteering & Company Philanthropy Programs
  • Employee Peer Recognition Programs - "You Earned it"

Click here to find out more about the benefits we offer.
Our Culture & Commitment:
We're proud to foster a supportive, inclusive environment where career growth, collaboration, and wellness are prioritized. And our benefits go beyond healthcare-offering resources for physical, mental, and professional well-being. Click here to find out more about the benefits we offer. Q2 employees are encouraged to give back through volunteer work and nonprofit support through our Spark Program (see more). We believe in making an impact-in the industry and in the community.
We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, or veteran status.
Applicants in California or Washington State may not be exempt from federal and state overtime requirements