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Remote Machine Learning Visa Sponsorship Jobs (NOW HIRING)

Artera

Machine Learning Engineer (Platform)

$140K - $180K/yr

This is a remote role open to candidates who are currently authorized to work either in the United ... visa sponsorship. Artera does not sponsor visas for this position. * Eligible candidates may ...

Artera

Machine Learning Engineer (Platform)

OR · Remote

This is a remote role open to candidates who are currently authorized to work either in the United ... visa sponsorship. Artera does not sponsor visas for this position. * Eligible candidates may ...

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 ... 1099; no visa sponsorship) Compensation: Competitive depending on qualifications Company ...

ManTech International

Machine Learning Engineer

$128K - $214K/yr

General information Requisition # R67616 Locations USA-Remote Work Posting Date 05/19/2026 Security ... The Machine Learning Engineer will leverage their strong technical background and knowledge to ...

Confie

Machine Learning Engineer

Addison, TX · On-site +1

$110K - $130K/yr

Flexible work options, including remote and hybrid opportunities, if eligible * Retirement Plan ... machine learning solutions on the Snowflake Cloud data warehouse platform using the Snowpark ...

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Remote Machine Learning Visa Sponsorship information

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

As of Jul 1, 2026, the average yearly pay for remote machine learning visa sponsorship in the United States is $127,031.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,000.00 and $143,500.00 per year, depending on experience, location, and employer.

What are some common challenges faced by remote machine learning engineers working under visa sponsorship, and how can they be addressed?

Remote machine learning engineers on visa sponsorship often face unique challenges such as managing time zone differences with global teams, ensuring effective communication despite cultural and language barriers, and navigating complex legal and administrative visa requirements. Being proactive about clarifying expectations, leveraging collaboration tools, and maintaining regular communication with both team members and HR/legal departments can help address these obstacles. Additionally, staying organized and informed about visa compliance can reduce stress and ensure a smooth employment experience.

What is a Remote Machine Learning Visa Sponsorship job?

A Remote Machine Learning Visa Sponsorship job is a position in the field of machine learning that allows you to work from any location while the employer supports your application for a work visa. These jobs typically involve developing algorithms and models for tasks such as data analysis, natural language processing, or computer vision. Employers who offer visa sponsorship help qualified international candidates with the legal process required to work in a different country. This can include filing necessary paperwork, covering visa fees, and sometimes assisting with relocation. Remote roles provide flexibility, making it possible to collaborate with international teams without being physically present in the company’s office.

What are the key skills and qualifications needed to thrive as a Remote Machine Learning Engineer, and why are they important?

To excel as a Remote Machine Learning Engineer, you need a solid background in computer science, mathematics, and statistics, typically supported by a relevant degree and experience with machine learning frameworks. Familiarity with tools such as Python, TensorFlow, PyTorch, and cloud computing platforms, as well as knowledge of version control systems, is crucial. Strong problem-solving skills, self-motivation, and effective remote communication make candidates stand out in distributed teams. These skills are essential for building robust machine learning models, collaborating across time zones, and delivering results in a dynamic, global work environment.

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

AspectRemote Machine Learning Visa SponsorshipRemote Data Scientist Visa Sponsorship
Required CredentialsMaster's or PhD in Computer Science, Data Science, or related fields; experience with ML frameworksMaster's or PhD in Data Science, Statistics, or related fields; proficiency in data analysis tools
Work EnvironmentDeveloping ML models, deploying algorithms, collaborating with engineering teamsAnalyzing data, building predictive models, communicating insights to stakeholders
Employer & Industry UsageTech companies, AI startups, research institutionsFinance, healthcare, e-commerce, consulting firms

Both roles often require advanced degrees and involve working with data, but Machine Learning roles focus more on developing algorithms and models, while Data Scientist roles emphasize data analysis and insights. Visa sponsorship options are similar, but the specific job functions differ slightly.

More about Remote Machine Learning Visa Sponsorship jobs
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Remote Machine Learning Visa Sponsorship jobs near you
Machine Learning Engineer (Platform)

Machine Learning Engineer (Platform)

Artera

Remote

$140K - $180K/yr

Full-time

Retirement, PTO

Posted 10 days ago

Job description

About Us: Artera is an AI startup that develops medical artificial intelligence tests to personalize therapy for cancer patients. Artera is on a mission to personalize medical decisions for patients and physicians on a global scale.
As a Machine Learning Engineer at Artera, you'll work on the AI Platform team with a focus on establishing scalable and efficient pipelines for model training, model evaluation, and data processing. You'll work closely with AI model developers, fellow machine learning engineers, and our platform engineering team. You'll ensure that Artera's model developers can rely on highly efficient, large-scale training regimes and deploy optimized models to production environments.
Essential Responsibilities:
  • Accountable for Artera's ML compute infrastructure including scaling up Artera's Foundation Model development by developing distributed training infrastructure and developer libraries.
  • Build and evolve the core libraries used by AI scientists to develop, launch, and monitor AI products.
  • Work with model developers to optimize GPU and CPU efficiency and data throughput of large-scale foundation models and downstream model training runs.
  • Optimize Artera's ability to store and serve terabytes of digital pathology data efficiently for the use in serving large-scale training regimes.
  • Ensure that Artera's observability infrastructure provides a clear picture of how to continue to optimize performance across our model landscape.

Experience Requirements:
  • 5+ years of industry software engineering experience
  • 4+ years of industry experience using one of PyTorch, TensorFlow, or JAX in Python
  • 3+ years of industry experience building with AWS, Docker, and Kubernetes
  • 1+ years of industry experience optimizing large-scale, high data-throughput, distributed machine learning training pipelines

Desired:
  • Experience in using ML orchestration frameworks such as Flyte, Ray, Kubeflow, Metaflow, MLFlow, Dagster, Argo Workflow or Prefect
  • Experience using Terraform, SqlAlchemy
  • Experience in multi-node and multi-gpu training.
  • Experience deploying and maintaining infrastructure for machine learning training and production inference
  • Familiarity with TorchScript, ONNXRuntime, DeepSpeed, AWS Neuron or similar approaches to inference optimization

Work Authorization Requirement:
  • This is a remote role open to candidates who are currently authorized to work either in the United States or in Canada without the need for current or future employment-based visa sponsorship. Artera does not sponsor visas for this position.

  • Eligible candidates may include:
  • Individuals authorized to work in the United States on a permanent basis (e.g., U.S. citizens, U.S. permanent residents), or
  • Individuals authorized to work in Canada (e.g., Canadian citizens or Canadian permanent residents).
  • Visa Transfers (if needed).

Here are few posts from our teammates, partners and customer voices to highlight the work we do:
  • Artera Shapes the Future of Cancer Treatment Using Machine Learning on AWS
  • How Artera AI test allowed Bruno to avoid hormone therapy
  • Startups are using AI to predict responses to Cancer Drugs
  • ArteraAI validates its Prognostic Model in Advanced Prostate Cancer
  • How Artera Enhances Prostate Cancer Diagnostics Using AWS

$140,000 - $180,000 a year
In addition to base salary, equity is a core component of our compensation. We also offer 401k matching, unlimited paid time off (PTO), and more.
The base salary is competitive and commensurate with experience, qualifications, and other factors to be discussed during the interview process.
#LI-JD1
Equal Employee Opportunity: At Artera, we value bringing together individuals from diverse backgrounds to develop new and innovative solutions for patients and physicians. As an equal opportunity employer, we do not discriminate on the basis of race, color, religion, national origin, age, sex (including pregnancy), physical or mental disability, medical condition, genetic information gender identity or expression, sexual orientation, marital status, protected veteran status, or any other legally protected characteristic.

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