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Remote Machine Learning Visa Sponsorship Jobs (NOW HIRING)

Gensyn

Research Intern

Research Intern Remote Machine intelligence will soon take over humanity's role in knowledge ... Visa sponsorship - available for those who would like to relocate to the US after being hired * 3 ...

Unitytech

Machine Learning Engineer

San Francisco, CA · On-site +1

$117K - $152K/yr

Work visa/immigration sponsorship is not available for this position Base Salary Range: We ... Mountain View, SF/Bay: $117,000 - $152,000 gross USD Bellevue, Seattle, NYC, Remote CA: $104,100 ...

Unitytech

Machine Learning Engineer

Mountain View, CA · On-site +1

$117K - $152K/yr

Work visa/immigration sponsorship is not available for this position Base Salary Range: We ... Mountain View, SF/Bay: $117,000 - $152,000 gross USD Bellevue, Seattle, NYC, Remote CA: $104,100 ...

Unitytech

Machine Learning Engineer

Bellevue, WA · On-site +1

$117K - $152K/yr

Work visa/immigration sponsorship is not available for this position Base Salary Range: We ... Mountain View, SF/Bay: $117,000 - $152,000 gross USD Bellevue, Seattle, NYC, Remote CA: $104,100 ...

USAA

AI & Machine Learning Engineer

San Antonio, TX · On-site +1

$103K - $197K/yr

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any ...

USAA

AI & Machine Learning Engineer

San Antonio, TX · On-site +1

$103K - $197K/yr

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any ...

New

MatrixSpace

Machine Learning Engineer

Burlington, MA · Remote

$165K - $200K/yr

... sponsorship and may be required to obtain and maintain a U.S. government security clearance in the future.' This is NOT a fully remote position! Required * BS, MS, or PhD in Computer Science ...

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Remote Machine Learning Visa Sponsorship information

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$83.5K

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$171K

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

As of Aug 12, 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?

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?

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
What cities are hiring for Remote Machine Learning Visa Sponsorship jobs? Cities with the most Remote 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 Remote Machine Learning Visa Sponsorship jobs? States with the most job openings for Remote Machine Learning Visa Sponsorship jobs include:
What job categories do people searching Remote Machine Learning Visa Sponsorship jobs look for? The top searched job categories for Remote Machine Learning Visa Sponsorship jobs are:
Remote Machine Learning Visa Sponsorship jobs near you
Infographic showing various Remote 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 $127,031 per year, or $61.1 per hour.

Research Intern

Gensyn

Remote

Other

Medical, Dental, Vision, PTO

Posted 8 days ago

Job description

Research Intern

Remote

Machine intelligence will soon take over humanity's role in knowledge-keeping and creation. What started in the mid-1990s as the gradual off-loading of knowledge and decision making to search engines will be rapidly replaced by vast neural networks - with all knowledge compressed into their artificial neurons. Unlike organic life, machine intelligence, built within silicon, needs protocols to coordinate and grow. And, like nature, these protocols should be open, permissionless, and neutral. Starting with compute hardware, the Gensyn protocol networks together the core resources required for machine intelligence to flourish alongside human intelligence.

The Role

Contribute to cutting-edge research in scalable, distributed machine learning systems alongside experienced researchers and engineers. Explore new ways of building and verifying neural networks that operate across huge, decentralised, topologies of heterogenous devices.

Responsibilities
  • Contribute to original research in deep learning with a focus on modular architectures, verifiability, continual learning, and scale
  • Design and prototype novel neural network architectures for decentralized compute environments
  • Contribute to joint publications and projects in collaboration with academic and industry researchers targeting top-tier AI venues such as NeurIPS, ICML, and ICLR
Competencies

Must Have

  • Currently enrolled in a PhD program (or, in exceptional cases, in a Master's program) in Computer Science, Machine Learning, or a related field
  • Prior experience conducting original research, ideally with authorship or co-authorship on ML papers
  • Strong understanding of deep learning fundamentals and experience working with at least one major framework, e.g. PyTorch, JAX, or TensorFlow
  • Self-directed, curious, and able to thrive in an environment with high autonomy
  • Excellent written and verbal communication skills

Preferred

  • Research experience in distributed systems, continual learning, or modular neural architectures
  • A desire to contribute to open research and collaborate with the broader ML research community

Nice to Have

  • Experience at the intersection of cryptography and machine learning

Please note: the benefits listed below apply to full-time employees only

Compensation / Benefits
  • Competitive salary + share of equity and token pool
  • Fully remote work - we currently hire between the West Coast (PT) and Central Europe (CET) time zones
  • Visa sponsorship - available for those who would like to relocate to the US after being hired
  • 3-4x all expenses paid company retreats around the world, per year
  • Whatever equipment you need
  • Paid sick leave and flexible vacation
  • Company-sponsored health, vision, and dental insurance - including spouse/dependents [only]
Our Principles

Autonomy & Independence

  • Don't ask for permission - we have a constraint culture, not a permission culture.
  • Claim ownership of any work stream and set its goals/deadlines, rather than waiting to be assigned work or relying on job specs.
  • Push & pull context on your work rather than waiting for information from others and assuming people know what you're doing.
  • Communicate to be understood rather than pushing out information and expecting others to work to understand it.
  • Stay a small team - misalignment and politics scale super-linearly with team size. Small protocol teams rival much larger traditional teams.

Rejection of Mediocrity & High Performance

  • Give direct feedback to everyone immediately - rather than avoiding unpopularity, expecting things to improve naturally, or trading short-term pain for extreme long-term pain.
  • Embrace an extreme learning rate - rather than assuming limits to your ability / knowledge.
  • Don't quit - push to the final outcome, despite any barriers.
  • Be anti-fragile - balance short-term risk for long-term outcomes.
  • Reject waste - guard the company's time, rather than wasting it in meetings without clear purpose/focus, or bikeshedding.

About GEN-SYN

Sourced by ZipRecruiter

Industry

Business management consulting

Company size

1 - 10 Employees

Headquarters location

Nashville, TN, US

Year founded

2021

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