webAI Visa Sponsorship Jobs USA
webAI is a technology company in the artificial intelligence space that has established a consistent track record of sponsoring H-1B visas for skilled workers. For international candidates targeting AI-focused employers, webAI represents a legitimate sponsorship option worth pursuing.
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Get Access To All JobsAbout us: webAI is the first end-to-end private AI platform. Enterprises and Governments use webAI to bring AI to their data, powering specialized intelligence trained on their own knowledge and compounding in value with every use. Our approach is guided by a simple philosophy: AI should be specialized, sovereign, efficient, and sustainable. It should solve real problems, not just burn more compute. Our technology enables the development of powerful AI using limited amounts of data, challenging the underlying assumption that big data is the key to unlocking the full power of AI. We are offering a superior career opportunity to join a dynamic and fast-growing team that fosters an exciting and growth-oriented work culture; an opportunity where you can truly put your name on meaningful change for an entire civilization.
About the Role: We are seeking an experienced Staff Machine Learning Engineer with a strong background in Large Language Models (LLMs) and/or Mixture of Experts (MoEs). The ideal candidate will have a proven track record of developing and deploying advanced AI models. You will lead core product initiatives across on-device inference optimization, quantization, RAG, agentic framework and/or tool calling. You will also be responsible for end-to-end delivery working cross functionally with other engineering functions and lead the sub-team.
Responsibilities:
- Lead the development and optimization of Large Language Models and Mixture of Experts models.
- Collaborate with cross-functional teams to integrate ML models into our platform.
- Conduct cutting-edge research in machine learning, with a focus on improving the performance and efficiency of LLMs.
- Stay abreast of the latest advancements in AI and ML, and apply this knowledge to improve our models and methodologies.
- Mentor junior engineers and contribute to the team’s knowledge sharing and best practices.
Qualifications
- Advanced degree (Ph.D. preferred) in Computer Science, or a related field.
- Proven track record of building and innovations through publications or industry experience.
- Minimum of 6 years of experience in machine learning, with specific expertise in Large Language Models and Mixture of Experts.
- Strong programming skills in Python and machine learning frameworks like TensorFlow and/or PyTorch.
- Demonstrated ability to lead complex projects and work collaboratively in a team environment.
- Excellent problem-solving skills and a passion for innovation.
Preferred Skills:
- Experience with cloud computing services (AWS, Azure, GCP).
- Knowledge of Big Data technologies (Hadoop, Spark).
- Familiarity with containerization and orchestration technologies (Docker, Kubernetes).
- Publications or presentations in recognized Machine Learning journals or conferences.
We at webAI are committed to living out the core values we have put in place as the foundation on which we operate as a team. We seek individuals who exemplify the following:
- Truth - Emphasizing transparency and honesty in every interaction and decision.
- Ownership - Taking full responsibility for one’s actions and decisions, demonstrating commitment to the success of our clients.
- Tenacity - Persisting in the face of challenges and setbacks, continually striving for excellence and improvement.
- Humility - Maintaining a respectful and learning-oriented mindset, acknowledging the strengths and contributions of others.
Benefits: We strive to provide competitive benefits to all employees. The benefits listed in this posting generally apply to U.S.-based employees. For employees hired outside the United States, benefits may vary based on local law, country-specific requirements, and the employment platform or entity through which the employee is hired.
- Competitive salary
- Comprehensive health, dental, and vision benefits package
- 401(k) match
- Equity options
- $200/month Health & Wellness stipend
- Continuing Education support
- $500/year Function Health subscription
- Free parking for in-office employees
- Flexible Time Off (FTO)
- Parental leave for eligible employees
- Supplemental life insurance
webAI is an Equal Opportunity Employer and does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We adhere to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, it is the policy of webAI to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works.
About us: webAI is the first end-to-end private AI platform. Enterprises and Governments use webAI to bring AI to their data, powering specialized intelligence trained on their own knowledge and compounding in value with every use. Our approach is guided by a simple philosophy: AI should be specialized, sovereign, efficient, and sustainable. It should solve real problems, not just burn more compute. Our technology enables the development of powerful AI using limited amounts of data, challenging the underlying assumption that big data is the key to unlocking the full power of AI. We are offering a superior career opportunity to join a dynamic and fast-growing team that fosters an exciting and growth-oriented work culture; an opportunity where you can truly put your name on meaningful change for an entire civilization.
About the Role: We are seeking an experienced Staff Machine Learning Engineer with a strong background in Large Language Models (LLMs) and/or Mixture of Experts (MoEs). The ideal candidate will have a proven track record of developing and deploying advanced AI models. You will lead core product initiatives across on-device inference optimization, quantization, RAG, agentic framework and/or tool calling. You will also be responsible for end-to-end delivery working cross functionally with other engineering functions and lead the sub-team.
Responsibilities:
- Lead the development and optimization of Large Language Models and Mixture of Experts models.
- Collaborate with cross-functional teams to integrate ML models into our platform.
- Conduct cutting-edge research in machine learning, with a focus on improving the performance and efficiency of LLMs.
- Stay abreast of the latest advancements in AI and ML, and apply this knowledge to improve our models and methodologies.
- Mentor junior engineers and contribute to the team’s knowledge sharing and best practices.
Qualifications
- Advanced degree (Ph.D. preferred) in Computer Science, or a related field.
- Proven track record of building and innovations through publications or industry experience.
- Minimum of 6 years of experience in machine learning, with specific expertise in Large Language Models and Mixture of Experts.
- Strong programming skills in Python and machine learning frameworks like TensorFlow and/or PyTorch.
- Demonstrated ability to lead complex projects and work collaboratively in a team environment.
- Excellent problem-solving skills and a passion for innovation.
Preferred Skills:
- Experience with cloud computing services (AWS, Azure, GCP).
- Knowledge of Big Data technologies (Hadoop, Spark).
- Familiarity with containerization and orchestration technologies (Docker, Kubernetes).
- Publications or presentations in recognized Machine Learning journals or conferences.
We at webAI are committed to living out the core values we have put in place as the foundation on which we operate as a team. We seek individuals who exemplify the following:
- Truth - Emphasizing transparency and honesty in every interaction and decision.
- Ownership - Taking full responsibility for one’s actions and decisions, demonstrating commitment to the success of our clients.
- Tenacity - Persisting in the face of challenges and setbacks, continually striving for excellence and improvement.
- Humility - Maintaining a respectful and learning-oriented mindset, acknowledging the strengths and contributions of others.
Benefits: We strive to provide competitive benefits to all employees. The benefits listed in this posting generally apply to U.S.-based employees. For employees hired outside the United States, benefits may vary based on local law, country-specific requirements, and the employment platform or entity through which the employee is hired.
- Competitive salary
- Comprehensive health, dental, and vision benefits package
- 401(k) match
- Equity options
- $200/month Health & Wellness stipend
- Continuing Education support
- $500/year Function Health subscription
- Free parking for in-office employees
- Flexible Time Off (FTO)
- Parental leave for eligible employees
- Supplemental life insurance
webAI is an Equal Opportunity Employer and does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We adhere to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, it is the policy of webAI to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works.
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Get Access To All JobsTips for Finding webAI Visa Sponsorship Jobs USA
Target roles at the intersection of AI and engineering
webAI's sponsorship activity centers on technical talent in artificial intelligence and software development. Focus your application on roles like machine learning engineer, AI researcher, or software architect where your skills align directly with the company's core product work.
Understand the H-1B timeline before you apply
webAI sponsors H-1B visas, which means your start date depends on the annual lottery in March and an October 1 start. Factor this into your job search timeline, especially if your current work authorization has an expiration date approaching.
Emphasize domain expertise in AI or machine learning
In a specialized field like AI, technical depth matters more than breadth. Highlight published research, open-source contributions, or production AI systems you've built. webAI is looking for candidates who can contribute immediately to cutting-edge technical problems.
Look for verified sponsorship history before applying
Not every AI company sponsors visas consistently. Migrate Mate surfaces verified sponsors so you can filter by real sponsorship history, helping you focus your effort on companies like webAI that have a documented track record rather than guessing from job descriptions.
Prepare to discuss your specialty occupation clearly
H-1B approval requires demonstrating your role is a specialty occupation requiring a relevant degree. For webAI, this means articulating how your specific technical background in AI, computer science, or a related field directly ties to the responsibilities of the role you're applying for.
Engage early in the hiring cycle
Because H-1B sponsorship involves significant lead time, companies in the Technology & Software space prefer to identify and extend offers well before the March registration window. Reaching out and interviewing in the fall or early winter gives both sides the most flexibility.
Frequently Asked Questions
Does webAI sponsor H-1B visas?
Yes, webAI sponsors H-1B visas for qualified international candidates. The company operates in the artificial intelligence and software space, where demand for specialized technical talent frequently leads to visa sponsorship. If you hold a relevant degree in computer science, AI, or a related field and are targeting a technical role, webAI is a legitimate sponsorship option worth pursuing.
Which roles at webAI are most likely to receive H-1B sponsorship?
Sponsorship at webAI is concentrated in technical positions that directly support the company's AI and software products. Roles in machine learning, software engineering, AI research, and data science are the strongest candidates. These positions align with the specialty occupation standard the H-1B requires, where a specific bachelor's degree or higher in a directly related field is a genuine prerequisite.
How do I know if webAI is actively sponsoring visas right now?
Migrate Mate tracks verified sponsorship data so you can see which companies have an active history of filing H-1B petitions. Rather than relying on job descriptions that may or may not mention sponsorship, you can use Migrate Mate to filter for employers like webAI with a confirmed track record, and browse open roles that are realistically accessible to international candidates.
How do I time my application to webAI around the H-1B lottery?
The H-1B lottery registration opens in March each year, with an October 1 start date for selected candidates. If you want to begin working at webAI through an H-1B, you'll need a job offer in hand before the registration window opens. Aim to begin interviewing in the fall or winter of the year prior so there's enough runway to complete the process before the deadline.
What should I include in my application to stand out at webAI?
webAI operates in a technically demanding space, so your application should lead with concrete evidence of AI or software engineering expertise. Published work, GitHub contributions, production systems you've shipped, or research in relevant areas all carry weight. Because H-1B sponsorship requires a clear tie between your degree and the role, also make sure your resume clearly reflects your academic background in a directly related field.