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Full Time Machine Learning Visa Sponsorship Jobs

Q2

Machine Learning Engineer

Austin, TX · Hybrid

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 ...

Q2 Software, Inc.

Machine Learning Engineer

Austin, TX · On-site

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 ...

Care.coach

Lead Machine Learning Engineer

Millbrae, CA · On-site +1

$119K - $156K/yr

... machine learning applications for practical use * 2+ years in an agile software development ... Type: Full-time regular W2 employment with benefits. (no C2C; no 1099; no visa sponsorship ...

Care.coach

Lead Machine Learning Engineer

Millbrae, CA

$119K - $156K/yr

... machine learning applications for practical use * 2+ years in an agile software development ... Full-time regularW2 employment with benefits. (no C2C; no 1099; no visa sponsorship) Compensation:

Hive

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 ...

Hive

Machine Learning Manager

San Francisco, CA · 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 ...

Hive

Machine Learning Manager

San Francisco, CA

$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 ...

Clera

Senior Machine Learning Engineer

Palo Alto, CA · Remote

$70 - $75/hr

About the Role We are an IT services consultancy placing a Senior Machine Learning Engineer with ... Visa Sponsorship: Not available -- US work authorization required. Location Based in Palo Alto, CA

New

Hive

Machine Learning Manager

Seattle, WA

$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 ...

Jane Street

Machine Learning Researcher

New York, NY · On-site

You'll spend the bulk of your internship working closely with full-time machine learning researchers on projects drawn from their own work. You might conduct an end-to-end study of an unexplored ...

Jane Street

Machine Learning Researcher

New York, NY · On-site

You'll spend the bulk of your internship working closely with full-time machine learning researchers on projects drawn from their own work. You might conduct an end-to-end study of an unexplored ...

Tennant Company

Machine Learning Engineer

Golden Valley, MN · On-site

$119K - $122K/yr

Tennant Company seeks a full-time Machine Learning Engineer based in Golden Valley, MN. Responsible for utilizing experience in emerging technologies such as Cloud computing, Big Data, Deep Machine ...

Unitytech

Machine Learning Engineer

San Francisco, CA · On-site +1

$117K - $152K/yr

We're looking for a Machine Learning Engineer to join our Offline Infrastructure team. This is an ... Work visa/immigration sponsorship is not available for this position Base Salary Range: We ...

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All JobsMachine Learning Visa Sponsorship JobsFull Time Machine Learning Visa Sponsorship Jobs

Full Time Machine Learning Visa Sponsorship information

See salary details

$58K

$83.2K

$130.5K

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

As of Aug 17, 2026, the average yearly pay for full time machine learning visa sponsorship in the United States is $83,176.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,000.00 and $91,500.00 per year, depending on experience, location, and employer.

What is the difference between Full Time Machine Learning Visa Sponsorship vs Data Scientist Visa Sponsorship?

AspectFull Time Machine Learning Visa SponsorshipData Scientist Visa Sponsorship
Required CredentialsMaster's or PhD in Computer Science, Data Science, or related fields; experience in ML algorithmsMaster's or PhD in Data Science, Statistics, or related fields; strong analytical skills
Work EnvironmentResearch labs, tech companies, AI startupsBusiness analytics, research teams, consulting firms
Employer & Industry UsageTech firms, AI companies, research institutionsFinance, healthcare, marketing, tech industries

Full Time Machine Learning Visa Sponsorship typically involves roles focused on developing and deploying machine learning models, requiring specialized technical skills. Data Scientist Visa Sponsorship often overlaps but emphasizes data analysis and statistical modeling. Both roles are in high demand in tech-driven industries, but ML roles tend to be more research and algorithm-focused, while Data Scientist roles focus on interpreting data for business insights.

More about Full Time Machine Learning Visa Sponsorship jobs

What cities are hiring for Full Time Machine Learning Visa Sponsorship jobs?

Cities with the most Full Time 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 Full Time Machine Learning Visa Sponsorship jobs?

States with the most job openings for Full Time Machine Learning Visa Sponsorship jobs include:

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The top searched job categories for Full Time Machine Learning Visa Sponsorship jobs are:

Full Time Machine Learning Visa Sponsorship jobs near you
Infographic showing various Full Time Machine Learning Visa Sponsorship job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $83,176 per year, or $40 per hour.

Machine Learning Engineer

Q2

Austin, TX • Hybrid

Full-time

Medical

Re-posted 24 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 through our year-round Q2 ChangeMakers awards program and global moments of recognition and connection. We invest in the growth and development of our team members through ongoing learning opportunities, internal mobility, and meaningful leadership relationships. We also know that nothing builds trust and collaboration like having fun and giving back together. From company-wide volunteer days to events like our Q2 Homecoming Week-featuring learning, community service, and culture-building experiences-we create opportunities to connect, grow, and make an impact.


SUMMARYThe 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 managerRESPONSIBILITIES 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 validationEXPERIENCE 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

Q2 logo

About Q2

Sourced by ZipRecruiter

Industry

Finance and insurance

Company size

1,001 - 5,000 Employees

Headquarters location

Austin, TX, US

Year founded

2004

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