ZipRecruiter

Log In

1

Manager Machine Learning Visa Sponsorship Jobs (NOW HIRING)

Meta

Product Manager, Machine Learning

Menlo Park, CA

$173K/yr

Product Manager, Machine Learning Responsibilities: * Display strong leadership, organizational and execution skills * Is the primary driver for identifying significant opportunities, and driving ...

Poesis

Machine Learning Engineer

San Francisco, CA · On-site

$200K - $280K/yr

Our founders managed institutional capital at Capital Group ($3T AUM) and led enterprise ML at ... Current legal authorization to work in the US required; continuing work visa sponsorship available ...

previous pagenext page

Showing results 21-40

All JobsMachine Learning Visa Sponsorship JobsManager Machine Learning Visa Sponsorship Jobs

Manager Machine Learning Visa Sponsorship information

See salary details

$58.5K

$78.6K

$99.5K

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

As of Aug 10, 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:
What states have the most Manager Machine Learning Visa Sponsorship jobs? States with the most job openings for Manager Machine Learning Visa Sponsorship jobs include:
Manager Machine Learning Visa Sponsorship jobs near you

Senior Manager, Machine Learning

Realtor.com Careers

Austin, TX • On-site

Full-time

Medical, Dental, Vision, Retirement

Re-posted yesterday

Job description

At Realtor.com, Machine Learning is part of our DNA. We process terabytes of data every day, and transform that data into information that powers decisions for millions of home buyers, renters, dreamers, and real estate professionals. We aim to radically simplify home buying/selling and help more people achieve the American dream on our [http://realtor.com|http://realtor.com|smart-link] website and mobile apps.

The Sr. Manager, Machine Learning is chartered with comprehending and modeling the various paths to monetization at the company. This is a very high visibility role with extremely high upside as you will have the ability to directly impact the company's bottom line. As a key member of the team, you will be responsible for the development of a team to execute on innovative concepts, research, predictive modeling, and machine learning algorithms. You will serve as a manager for the machine learning engineers on the team and provide guidance on their individual projects in addition to serving as an expert for any algorithms that you develop or help develop.

A successful candidate is obsessed with understanding the intricacies of the company and how revenue is realized. Using this as a guiding light and conditioning it on fairness, inclusion, and making sure we have a world-class customer experience is what this individual is chartered with. You should have extensive experience in modeling and strong statistical acumen. Additionally, prior experience managing a team is highly desirable.

What You'll Do:

  • Understand the business and data models to effectively query data
  • Effectively partner with product and engineering teams to build new data driven and machine learning based features for enriching the consumer experience of home shoppers, renters and sellers.
  • Supervise exploratory analysis on Realtor.com's wealth of data.
  • Direct development of predictive, explanatory models and machine learning algorithms.
  • Design and build machine learning solutions to drive revenue growth, customer retention and support strategic decision making.
  • Generate descriptive visualizations and presentations to communicate insights.
  • Drive A/B & multivariate tests and design of experiments to facilitate testing of new product and design features, with focus on improving engagement, retention, and conversion.
  • Help improve the scope of our data sets by identifying new data collection and procurement opportunities on an ongoing basis.
  • Mentor a team of machine learning engineers on data exploration, machine learning and developing data-oriented products.
  • Work with a sense of ownership and urgency, advocate for experimentation based, agile culture.
  • Drive a project forward given just a problem and mission statement.

We believe in leveraging the best tools to solve problems faster. You will be expected to utilize AI coding assistants and LLMs proficiently to accelerate development velocity, generate boilerplate, and troubleshoot complex debugging scenarios. Beyond simple usage, this role requires the critical judgment to verify AI-generated outputs for security, performance, and accuracy. You should be comfortable integrating AI tooling into your daily workflow to eliminate repetitive tasks, allowing you to focus on high-impact architectural and strategic engineering challenges.

What You'll Bring:

  • PhD/MS in computer science, statistics, mathematics, operations research or related fields.
  • 8+ years of relevant experience in data science, machine learning or applied statistics.
  • 2+ years managing a team of machine learning engineers.
  • Experience with Machine Learning, NLP and data mining tools and underlying algorithms.
  • Experienced in Python, R, Spark or other languages and frameworks appropriate for large scale analysis of structured and unstructured data.
  • Working experience with relational databases (SQL) and large scale distributed systems.
  • Extensive experience with AWS, GCP, Azure, or equivalent
  • Experience with experiment design and A/B and multivariate tests.
  • Excellent communication and presentation skills, distilling complex analysis and concepts into concise business-focused takeaways
  • Strong ability to coach Machine Learning Engineers, helping them improve their skills and grow their careers
How We Work:
We balance creativity and innovation on a foundation of in-person collaboration. Our employees work three days in our Austin headquarters where they have the opportunity to collaborate in-person, adding richness to our culture and knitting us closer together.
 
How We Reward You:
Realtor.com is committed to investing in the health and wellbeing of our employees and their families. Our benefits programs include, but are not limited to:
  • Inclusive and Competitive medical, Rx, dental, and vision coverage
  • Family forming benefits
  • 13 Paid Holidays
  • Flexible Time Off
  • 8 hours of paid Volunteer Time off
  • Immediate eligibility into Company 401(k) plan with 3.5% company match
  • Tuition Reimbursement program for degreed and non-degreed programs
  • 1:1 personalized Financial Planning Sessions
  • Student Debt Retirement Savings Match program
  • Free snacks and refreshments in each office location

Apply