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Manager Machine Learning Visa Sponsorship Jobs (NOW HIRING)

Overstory

Engineering Manager, Machine Learning

Role & Team As an ML Engineering Manager, you will lead across several cross-functional teams, managing up to ~10 machine learning engineers and data scientists. You will support teams working on ...

Twilio

Senior Manager, Machine Learning

Manage and Mentor a team of talented Machine Learning and Data Engineers with various levels of experience and positively influencing their careers. * Partner with Product Managers and Architects to ...

Upstart

Senior Manager, Machine Learning

The Team Our Core ML organization is looking for an exceptional, hands-on Machine Learning Manager to join our leadership group. Because our ML teams share common codebases and modeling pipelines, we ...

Upstart

Senior Manager, Machine Learning

OR · Remote

The Team Our Core ML organization is looking for an exceptional, hands-on Machine Learning Manager to join our leadership group. Because our ML teams share common codebases and modeling pipelines, we ...

Hive

Machine Learning Manager

Seattle, WA

$180K - $250K/yr

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 ...

Harvard University

Machine Learning Engineer

Boston, MA · On-site

Experience with experiment tracking and project management tools, notably frameworks like Weights ... Visa Sponsorship Information: Harvard University is unable to provide visa sponsorship for this ...

Harvard University

Machine Learning Engineer

Boston, MA · On-site +1

Experience with experiment tracking and project management tools, notably frameworks like Weights ... Visa Sponsorship Information: Harvard University is unable to provide visa sponsorship for this ...

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

As of Jun 11, 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 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 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 cities are hiring for Manager Machine Learning Visa Sponsorship jobs? Cities with the most Manager 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:
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Manager Machine Learning Visa Sponsorship jobs near you
Engineering Manager, Machine Learning

Engineering Manager, Machine Learning

Dick's Sporting Goods

Coraopolis, PA • On-site, Remote

Full-time

Posted 11 days ago

Dick's Sporting Goods rating

6.5

Company rating: 6.5 out of 10

Based on 1,131 frontline employees who took The Breakroom Quiz

15th of 39 rated national retailers

Job description

At DICK'S Sporting Goods, we believe in how positively sports can change lives. On our team, everyone plays a critical role in creating confidence and excitement by personally equipping all athletes to achieve their dreams. We are committed to creating an inclusive and diverse workforce, reflecting the communities we serve.
If you are ready to make a difference as part of the world's greatest sports team, apply to join our team today!
OVERVIEW:
Join us as we transform technology, data, and analytics to build next-generation tools and platforms for athletes and teammates. As the Machine Learning Engineering Manager - Teamate, you will lead a highly skilled team, driving enterprise impact and shaping the future of a leading sports retailer. You will be at the forefront of merchandising improvement-delivering advanced machine learning and agentic solutions that optimize inventory, maximize assortment plans, and ensure the right products are available at the right time and place. You will collaborate closely with Product Management, Design and Architecture to ensure cross-functional alignment and deliver innovative software, while overseeing team development, talent management, and best practices to drive impactful results.
Key Responsibilities
  • Lead the development, deployment, and maintenance of scalable, reliable machine learning solutions for merchandising and inventory optimization.
  • Define and guide technical strategy and architecture for enterprise-grade ML, and AI capabilities.
  • Manage, mentor, and develop a high-performing team of machine learning engineers.
  • Partner with product, business, and engineering leaders to translate goals into ML-driven solutions.
  • Drive end-to-end delivery of ML solutions from discovery through production support.
  • Lead transformation initiatives delivering ML and agentic solutions that improve inventory and assortment effectiveness.
  • Champion agile methodologies and engineering best practices.
  • Ensure high standards for quality, scalability, reliability, performance, and security.
  • Design cloud-based ML deployment patterns including APIs, monitoring, and model lifecycle management.
  • Align technical execution with business priorities and KPIs.
  • Stay current with emerging technologies and recommend strategic improvements.
  • Support portfolio management, budgeting, performance management, and information security.
  • Foster a diverse, inclusive, and collaborative team environment.
  • Lead systems-level design and integration, including APIs, event streams, and vendor-managed integrations.
  • Plan and manage resources and lead onshore/offshore contractors.

QUALIFICATIONS:
  • Bachelor's (Master's preferred) degree or equivalent experience in a quantitative field.
  • 6+ years of experience in machine learning or related engineering fields.
  • 2-3 years of experience in a technical leadership role.
  • 1-3 years of people management experience.
  • Experience with ML frameworks.
  • Strong Python skills and experience with distributed data technologies such as Spark and Kafka.
  • Experience designing and operating ML-powered APIs and production systems.
  • Experience working in an Agile environment.
  • Ability to influence senior and executive stakeholders.
  • Retail technology experience required; merchandising or inventory planning experience is a plus.

VIRTUAL REQUIREMENTS:
At DICK'S, we thrive on innovation and authenticity. That said, to protect the integrity and security of our hiring process, we ask that candidates do not use AI tools (like ChatGPT or others) during interviews or assessments.
To ensure a smooth and secure experience, please note the following:
  • Cameras must be on during all virtual interviews.
  • AI tools are not permitted to be used by the candidateduring any part of the interview process.
  • Offers are contingent upon a satisfactory background check which may include ID verification.

If you have any questions or need accommodations, we're here to help. Thanks for helping us keep the process fair and secure for everyone!

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