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Full Time Machine Learning Visa Sponsorship Jobs

Visa

Director, Machine Learning

Austin, TX · Hybrid

At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges ... We are currently looking for a Director of Machine Learning who will take the lead and manage ...

Poesis

Machine Learning Engineer

San Francisco, CA · On-site

$200K - $280K/yr

About the Role At Poesis, machine learning and artificial intelligence open the door to improved ... visa sponsorship available for full-time employees. Working at Poesis As an early team member, you ...

Harvard University

Machine Learning Engineer

Boston, MA · On-site

$60/hr

Transform machine learning models into APIs to interact with other applications. * Use expert ... Visa Sponsorship Information: Harvard University is unable to provide visa sponsorship for this ...

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Full Time Machine Learning Visa Sponsorship information

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$58K

$83.2K

$130.5K

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

As of Jul 16, 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.

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Full Time Machine Learning Visa Sponsorship jobs near you
Machine Learning Engineer

Machine Learning Engineer

Strategic Employment

Chicago, IL • Hybrid

Full-time

Posted 19 days ago

Job description

A well-established, publicly traded company in Chicago is hiring its first full-time Machine Learning Engineer. After two years of running ML systems in production through an outside consulting firm, this organization is building the capability in-house. This is a hands-on individual contributor role where you would be building new ML pipelines and models, while also maintaining and improving what is already in production.

Hybrid: 3 days onsite, 2 days remote

Downtown Chicago

What You Bring:

  • 4+ Machine Learning engineering experience
  • Hands-on work building, deploying, and maintaining models in production
  • Python experience
  • Full pipeline experience: data ingestion, training, evaluation
  • Understand MLOps

Pluses:

  • AWS SageMaker experience
  • Generative AI
  • SQL and/or other relational databases

US work authorization required; sponsorship is not available.

If this sounds like the right scope for where you are in your career, we would like to hear from you.


Strategic Employment Partners logo

About Strategic Employment Partners

Sourced by ZipRecruiter

Strategic Employment Partners (SEP) was founded in 2007, serving companies in the Greater Los Angeles area by providing Technology Recruiting and Placement Services. With the combined experience of our seasoned professionals, SEP quickly began to build strong partnerships and provide curated talent for some of the largest and fastest growing companies in Los Angeles. Since then, SEP has expanded its operations and currently has eight divisions nationwide.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

Los Angeles, CA, US

Year founded

2006

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