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Manager Machine Learning Visa Sponsorship Jobs (NOW HIRING)

Extend

Manager, Machine Learning

$180K - $210K/yr

Required: * 6+ years of work experience building and deploying machine learning systems into production * 2+ years experience mentoring and managing ML teams * Strong proficiency in Python and SQL

Vanguard

Manager, Machine Learning Engineer

Dallas, TX

$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 ...

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 ...

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

$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 ...

Paylocity

Manager Machine Learning Engineering

This may include adjustments to on-site requirements Manager Machine Learning Engineering Position Overview Paylocity is growing its Machine Learning Engineering organization! Our machine learning ...

Visa

Director, Machine Learning

Austin, TX · Hybrid

Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications 10+ years of relevant work experience with a Bachelor ...

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

As of Jul 14, 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
Manager, Machine Learning

Manager, Machine Learning

Extend

Remote

$180K - $210K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 11 days ago

Job description

About Extend:
Extend is revolutionizing the post-purchase experience for retailers and their customers by providing merchants with AI-driven solutions that enhance customer satisfaction and drive revenue growth. Our comprehensive platform offers automated customer service handling, seamless returns/exchange management, end-to-end automated fulfillment, and product protection and shipping protection alongside Extend's best-in-class fraud detection. By integrating leading-edge technology with exceptional customer service, Extend empowers businesses to build trust and loyalty among consumers while reducing costs and increasing profits.
Today, Extend works with more than 1,000 leading merchant partners across industries, including fashion/apparel, cosmetics, furniture, jewelry, consumer electronics, auto parts, sports and fitness, and much more. Extend is backed by some of the most prominent technology investors in the industry, and our headquarters is in downtown San Francisco.
About the Role:
You will lead a team of ML data scientists on the Fraud and ML team, owning the development and quality of Extend's machine learning models across fraud detection, risk assessment, and identity resolution. You'll guide your team through the full data science lifecycle, from requirements and experimentation through model development, evaluation, and monitoring. You'll partner closely with Product and Engineering on integrating ML models into our product and with our Fraud Intelligence team to continuously improve our fraud detection capabilities.
What You'll Be Doing:
  • Own the model lifecycle: requirements, experimentation, model development, evaluation, and model cards, partnering with ML engineers on deployment and production infrastructure
  • Translate business problems into well-framed ML solutions: defining what to model, what success looks like, and where ML adds value vs. simpler approaches
  • Design and maintain feature engineering pipelines for model development
  • Drive experiment design and statistical rigor: ensuring models are evaluated with sound methodology before and after launch
  • Monitor model quality in production, tracking performance over time, detecting data drift, and determining when to retrain
  • Cultivate a culture of learning and collaboration within and across partner teams
  • Perform design and code reviews to raise the technical excellence bar
  • Hire, mentor, and coach data scientists
What We're Looking For:
Required:
  • 6+ years of work experience building and deploying machine learning systems into production
  • 2+ years experience mentoring and managing ML teams
  • Strong proficiency in Python and SQL
  • Strong understanding of ML fundamentals: model selection, evaluation methodology, feature engineering, and common failure modes
  • Hands-on experience with PyTorch, scikit-learn, and XGBoost (or similar gradient boosting frameworks)
  • Strong people leadership skills with the ability to develop ML talent
  • Excellent stakeholder management, with a track record of working cross-functionally to deliver results
  • Empathy and humility

Preferred:
  • Experience building fraud detection or risk assessment systems
  • Experience with cloud ML platforms, particularly AWS (e.g., SageMaker)
  • Experience with graph data and graph-based models (e.g., PyTorch Geometric)
  • Experience with model monitoring and observability tooling (e.g., Arize)

Estimated Pay Range: $180,000-$210,000 per year salaried*
Life at Extend:
  • Working with a great team from diverse backgrounds in a collaborative and supportive environment.
  • Competitive salary based on experience, with full medical and dental & vision benefits.
  • Stock in an early-stage startup growing quickly.
  • Generous, flexible paid time off policy.
  • 401(k) with Financial Guidance from Morgan Stanley.

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