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Commission Machine Learning Visa Sponsorship Jobs

Hive

Machine Learning Manager

Seattle, WA · On-site

$180K - $250K/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 ...

慨正橡扯

WI · On-site

$120 - $150/hr

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. #J-18808 ...

Hive

Machine Learning Engineer

Seattle, WA · 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 ...

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

Seattle, WA

$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 ...

New

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 ...

New

Escalon

Machine Learning Engineer

Santa Monica, CA

$100K - $120K/yr

The Role Our client is seeking a Machine Learning Engineer to help design and implement intelligent ... Visa sponsorship is not available for this role at this time. * Candidates must reside within a ...

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All JobsMachine Learning Visa Sponsorship JobsCommission Machine Learning Visa Sponsorship Jobs

Commission Machine Learning Visa Sponsorship information

What are the key skills and qualifications needed to thrive as a machine learning engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need a solid background in computer science, mathematics, and statistics, often supported by a relevant degree and experience with machine learning algorithms. Familiarity with programming languages such as Python or R, as well as tools like TensorFlow, PyTorch, or scikit-learn, and sometimes certifications like AWS Certified Machine Learning, are typically required. Strong problem-solving abilities, effective communication, and a collaborative mindset help you stand out in this role. These skills ensure the successful development, deployment, and optimization of machine learning models that drive business value.

What is a commission machine learning visa sponsorship?

A Commission Machine Learning Visa Sponsorship job refers to a position in the field of machine learning where the employee's compensation is partly or wholly based on commissions, such as performance-based incentives or sales of machine learning solutions. In addition, the employer is willing to sponsor eligible candidates for a work visa, enabling non-citizens to legally work in the country. These roles typically involve developing, deploying, or selling machine learning models and require strong technical and communication skills. It's ideal for professionals looking to work internationally while earning based on performance.

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

AspectCommission Machine Learning Visa SponsorshipData 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 programming and analytics
Work EnvironmentTech companies, startups, research labs focusing on ML projectsResearch institutions, tech firms, analytics departments
Industry UsageCommonly sponsored for roles involving ML model development and deploymentOften sponsored for roles analyzing data, building models, and deriving insights

Commission Machine Learning Visa Sponsorship and Data Scientist Visa Sponsorship share similar educational and industry requirements. However, ML sponsorship emphasizes model development and deployment, while Data Scientist sponsorship focuses on data analysis and insights. Both roles are in high demand and frequently sponsored in tech-driven industries.

What types of projects can a commission machine learning specialist expect to work on, and how is collaboration typically structured within the team?

As a Commission Machine Learning specialist, you can expect to work on projects involving the development, deployment, and optimization of machine learning models that directly impact business metrics, such as sales or user engagement. Collaboration is often cross-functional, involving close interaction with data engineers, product managers, and software developers to ensure that models are both technically sound and aligned with business goals. Agile methodologies are commonly used, with regular team meetings, code reviews, and shared progress updates to maintain alignment. This environment fosters continuous learning and provides opportunities to contribute to critical decision-making processes.
What cities are hiring for Commission Machine Learning Visa Sponsorship jobs? Cities with the most Commission 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 Commission Machine Learning Visa Sponsorship jobs? States with the most job openings for Commission Machine Learning Visa Sponsorship jobs include:
Commission Machine Learning Visa Sponsorship jobs near you
Infographic showing various Commission Machine Learning Visa Sponsorship job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 70% Full Time, 26% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution.

Machine Learning Manager

Hive

Seattle, WA • On-site

$180K - $250K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 12 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 Manager

In order to execute our vision, we're constantly growing our machine learning team.  We are looking for an exceptional leader to help us with that growth, making sure that each engineer reaches their full potential.  We value hard workers who have no qualms working with terabyte-scale datasets. We're interested in experimenting with new models, new ideas, and training on novel datasets. Our ideal candidate has experience managing a team of machine learning engineers working on ML projects of a massive scale, contributes innovative ideas and ingenious modeling improvement strategies to the team, and is capable of mentoring junior engineers through their journey to become better.
Responsibilities
  • Interface closely with product management, engineering, devops, labeling, and sales teams to build roadmap in supporting the long term vision of the team
  • Lead a team of highly capable and passionate machine learning engineers, helping them achieve their goals through mentorship
  • Participate in products technical design and architecture
  • Participate in the full development cycle: data collection, labeling, model development, experimentation, training, testing, and deployment in production.
  • Drive delivery for our product milestones, continually releasing model with new well tested features and ensuring quality metrics are achieved
  • Implement and manage security protocols such as training, code review, and best practices
  • Own and manage the risk and security of your business function in coordination with the Security Team
  • 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
  • Undergraduate or graduate degree in computer science or similar technical field
  • 4+ years experience as a machine learning engineer, with experience in training large deep learning models and working with real world data
  • Knowledgeable in at least one focus area of machine learning, such as computer vision, audio, or NLP
  • 2+ years experience managing machine learning teams
  • You have an ability to understand and make well-reasoned tradeoffs in designing features
  • Management skills: ability to set roadmap and goals for a team and its individual members, delegate, mentor, and deliver results
  • Have a desire to interview engineers, collaborate with a recruiting team, and smoothly onboarding new team members
  • Have experience collaborating with product managers and labeling team in delivering model improvements
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 $180,000 - $250,000. 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.

Employees are eligible to participate in a number of Company-sponsored benefits, including health, vision and dental insurance. Employees are also eligible to participate in a gym membership as part of our commitment to employee wellness. In addition, employees will be entitled to paid vacation in accordance with the Company's vacation policy.

Hired applicant may receive an equity grant in the form of an option to purchase stock in the future for a specified price.
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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