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Machine Learning Visa Sponsorship Jobs (NOW HIRING)

Hive

Machine Learning Engineer

San Francisco, CA

$120K - $180K/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 Engineer

San Francisco, CA · On-site

$120K - $180K/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 ...

USAA

AI & Machine Learning Engineer

San Antonio, TX · On-site +1

$103K - $197K/yr

The Opportunity The Artificial Intelligence and Machine Learning Engineer will be part of a ... USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any ...

Jobzhr

$180 - $280/hr

We're hiring our Founding Machine Learning Engineer (MLE) with expertise in Agent Development and ... Visa Sponsorship: H1-B, O1 #J-18808-Ljbffr

New

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:

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 ...

Visa Hunt

Machine Learning Engineer

Bellevue, WA · On-site

$161.14 - $200/hr

We're looking for an exceptional Machine Learning Engineer to help shape the future of our core platforms, products, and customer experiences. FinTech is one of the most complex and rapidly evolving ...

Vanguard

Manager, Machine Learning Engineer

Dallas, TX

$101K - $133K/yr

Leads a team of Machine Learning Engineers responsible for designing, building, deploying, and ... Special Factors Sponsorship Vanguard is not offering visa sponsorship for this position. About ...

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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 Aug 17, 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 is a machine learning visa sponsorship?

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 do machine learning professionals do in companies 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 skills and qualifications are needed for machine learning visa sponsorship?

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.

More about Machine Learning Visa Sponsorship jobs

What cities are hiring for Machine Learning Visa Sponsorship jobs?

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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:

What job categories do people searching Machine Learning Visa Sponsorship jobs look for?

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

Machine Learning Visa Sponsorship jobs near you
Infographic showing various Machine Learning Visa Sponsorship job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.

Machine Learning Engineer

Hive

San Francisco, CA

$120K - $180K/yr

Full-time

Re-posted 15 days ago

Job description

About Hive
 
Hive is the leading provider of cloud-based AI solutions to understand, search, and generate content, and is trusted by hundreds of the world's largest and most innovative organizations. The company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving billions of customer API requests every month. Hive also offers turnkey software applications powered by proprietary AI models and datasets, enabling breakthrough use cases across industries. Together, Hive's solutions are transforming content moderation, brand protection, sponsorship measurement, context-based ad targeting, and more.
 
Hive has raised over $120M in capital from leading investors, including General Catalyst, 8VC, Glynn Capital, Bain & Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco, Seattle, and Delhi offices. Please reach out if you are interested in joining the future of AI!
 
Machine Learning Role
 
In order to execute our vision, we need to grow our team of best-in-class machine learning engineers. We are looking for developers who are excited about staying at the forefront of deep learning technology, prototyping state-of-the-art neural net models and launching these models into production. We value hard workers who have no qualms working with terabyte-scale datasets, who are interested in learning new technologies at all levels of the machine learning stack, and who move fast and take ownership of their projects. Our ideal candidate has experience creating a working machine learning-powered project from the ground up, contributes innovative ideas and ingenious implementations to the team, and is capable of planning out scalable, maintainable data pipelines.
Responsibilities
  • Everything involved in applying a ML model to a production use case, including, designing and coding up the neural network, gathering and refining data, training and tuning the model, deploying it at scale with high throughput and uptime, and analyzing the results in the wild in order to continuously update and improve accuracy and speed
  • Interface closely with the Backend and DevOps teams as well as with our internal data labeling services
  • Utilize OWASP top 10 techniques to secure code from vulnerabilities
  • Maintain awareness of industry best practices for data maintenance handling as it relates to your role
  • Adhere to policies, guidelines and procedures pertaining to the protection of information assets
  • Report actual or suspected security and/or policy violations/breaches to an appropriate authority
Requirements
  • You have an undergraduate or graduate degree in computer science or similar technical field, with significant coursework in mathematics or statistics
  • You have 1-2 years industry machine learning experience
  • You have successfully trained and deployed a deep learning machine model (image, NLP, video, or audio) into production, with measurably improved performance over baseline, either in industry or as a personal project
  • You have strong experience with a high-level machine learning frameworks such as Tensorflow, Caffe, or Torch, and familiarity with the others
  • You know the ins and outs of Python, especially as it applies to the above ML frameworks
  • You are capable of quickly coding and prototyping data pipelines involving any combination of Python, Node, bash, and linux command-line tools, especially when applied to large datasets consisting of millions of files
  • You have a working knowledge of the following technologies, or are not afraid of picking it up on the fly: C++, Scala/Spark, SQL, Cassandra, Docker
  • You are up-to-date on the latest deep neural net research and architectures, both in understanding the theory and motivations behind the techniques, as well as how to implement them in the ML framework of your choice
  • You have great communication skills and ability to work with others
  • You are a strong team player, with a do-whatever-it-takes attitude
Who We Are
 
We are a group of ambitious individuals who are passionate about creating a revolutionary AI company. At Hive, you will have a steep learning curve and an opportunity to contribute to one of the fastest growing AI start-ups in San Francisco. The work you do here will have a noticeable and direct impact on the development of the company.
 
Thank you for your interest in Hive and we hope to meet you soon!
 
The current expected base salary for this position ranges from $120,000 - $180,000. Actual compensation may vary depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the total compensation package that is provided to compensate and recognize employees for their work; stock options may be offered in addition to the range provided here.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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