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Manager Machine Learning Visa Sponsorship Jobs (NOW HIRING)

Vanguard

Manager, Machine Learning Engineer

Dallas, TX · On-site

$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 ...

Chefman

Machine Learning Engineer

Mahwah, NJ · On-site

Chefman is unable to provide visa sponsorship for this position. Candidates must be legally ... Experience building and managing datasets used for machine learning model development. Experience ...

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 ...

Hive

Machine Learning Manager

San Francisco, CA · 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 ...

Hive

Machine Learning Manager

San Francisco, CA

$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 ...

Hive

Machine Learning Manager

Seattle, WA

$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 ...

Clera

Senior Machine Learning Engineer

Palo Alto, CA · Remote

$145K - $156K/yr

Collaborate cross-functionally with Data Engineers, Software Engineers, Product Managers, and ... US work authorization required; visa sponsorship is not available. Compensation & Benefits Hourly ...

Gridware

Senior Manager, Machine Learning

San Francisco, CA · On-site

$245K - $295K/yr

... management experience * 8+ years of experience building and deploying machine learning models in production environments * Experience with both deep learning and classical machine/statistical ...

Gridware

Senior Manager, Machine Learning

San Francisco, CA · On-site

$245K - $295K/yr

... management experience * 8+ years of experience building and deploying machine learning models in production environments * Experience with both deep learning and classical machine/statistical ...

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

As of Aug 31, 2026, the average yearly pay for manager machine learning visa sponsorship in the United States is $78,591.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,000.00 and $81,500.00 per year, depending on experience, location, and employer.

What is a manager machine learning visa sponsorship?

A Manager Machine Learning Visa Sponsorship is a managerial position in the field of machine learning where the employer is willing to sponsor a work visa for qualified international candidates. This role involves leading a team of machine learning engineers or data scientists, overseeing projects, and ensuring the successful development and deployment of machine learning models. The visa sponsorship component means the company will support the candidate through the legal process required for them to work in a different country, typically the United States or other countries with strict work visa requirements. Often, these roles require significant technical expertise and leadership experience, as well as familiarity with immigration processes.

What are the main challenges faced by a manager machine learning, especially when leading a team with diverse technical backgrounds?

As a Manager, Machine Learning, one of the main challenges is bridging the gap between team members with varied expertise, such as data scientists, engineers, and product managers. Ensuring clear communication, aligning on project goals, and fostering collaboration are essential. Additionally, balancing hands-on technical guidance with strategic leadership, while keeping up with rapidly evolving machine learning technologies, requires adaptability and strong organizational skills. Successfully navigating these challenges can lead to innovative solutions and a highly effective team.

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

To thrive as a Manager, Machine Learning, you need a strong background in computer science, statistics, and machine learning, typically supported by an advanced degree and experience leading technical teams. Familiarity with tools like Python, TensorFlow, PyTorch, and cloud platforms, as well as knowledge of data management and ML lifecycle systems, is essential. Strong leadership, communication, and problem-solving skills set standout candidates apart, enabling effective team management and stakeholder collaboration. These capabilities are crucial for driving successful ML projects, fostering innovation, and ensuring alignment with organizational objectives.

What cities are hiring for Manager Machine Learning Visa Sponsorship jobs?

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What are the most commonly searched types of Machine Learning Visa Sponsorship jobs?

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Manager Machine Learning Visa Sponsorship jobs near you

Manager, Machine Learning Engineer

Vangard, Inc.

Malvern, PA

Full-time

Re-posted 28 days ago

Job description

Core Responsibilities

  • Provides leadership in hiring, coaching, talent development, performance management, and compensation decisions in accordance with Human Resources policies and procedures.

  • Partners with Enterprise, Solution, and Domain Architects to define AI/ML solution architectures and translate strategic initiatives into executable roadmaps, epics, and engineering workstreams.

  • Leads cross-functional delivery across Product, Data Science, Platform, and Engineering teams, driving solutions from concept through production while ensuring alignment to business objectives and enterprise standards.

  • Establishes engineering practices, reusable frameworks, and platform capabilities that improve scalability, consistency, and delivery efficiency across AI/ML initiatives.

  • Oversees the design, implementation, and evolution of data, feature, and model pipelines to support reliable and scalable AI/ML solutions.

  • Applies expertise in machine learning, statistics, optimization, and experimentation methodologies to operationalize predictive and decision-support capabilities.

  • Evaluates data quality, feature readiness, and model inputs in partnership with Data Science teams to support successful model development and deployment.

  • Drives operational excellence through automation, observability, monitoring, incident management, and continuous improvement practices for production AI/ML systems.

  • Ensures adherence to enterprise governance, security, risk, compliance, and model lifecycle management requirements.

  • Engages business and technology stakeholders to understand objectives, assess opportunities, and translate complex requirements into actionable technical solutions.

  • Supports departmental planning, prioritization, and execution of strategic objectives while balancing delivery commitments, operational needs, and organizational goals.

  • Establishes scalable operating models, support processes, and service standards that enable long-term sustainability of AI/ML products and platforms.

  • Communicates technical strategy, solution recommendations, delivery progress, and business impact to senior technology and business leaders.

  • Participates in special projects and performs other duties as assigned.

Qualifications

  • Undergraduate degree or equivalent combination of training and experience. Graduate degree preferred.

  • Minimum of eight years related work experience.

Special Factors

Sponsorship

Vanguard is not offering visa sponsorship for this position.

About Vanguard

At Vanguard, we don't just have a mission-we're on a mission.

To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.

How We Work

Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.

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