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Machine Learning Manager Jobs in New York (NOW HIRING)

Senior Machine Learning Engineer

Jersey City, NJ · On-site

$114K - $157K/yr

... and manage model deployment strategies to ensure reliability, scalability, and security in ... optimizing machine learning pipelines and infrastructure. • Proficiency in cloud computing ...

Machine Learning Engineer

New York, NY · On-site

$160K - $210K/yr

... manage data sprawl while securely enabling AI adoption. Fresh off our $25 million Series A round ... About the role We are seeking a Machine Learning Engineer to strengthen our element classification ...

... Machine Learning Engineer to join us. CreativeX is on a mission to enable brands of all sizes and ... management, build processes, testing, and operations experience - Bachelor's degree in computer ...

Machine Learning Engineer

Manhattan, NY · Hybrid

$126K - $151K/yr

Machine Learning Engineer Location: Long Island City, NY 11101 (Onsite 4 Days/week) Type: Permanent ... Collaborate closely with product managers, full-stack engineers, and TPMs to ensure seamless ...

Senior Machine Learning Engineer

New York, NY · On-site +1

$114K - $157K/yr

Team members partner closely with ML engineers, MLOps, product managers, and business stakeholders ... Position Overview As a Senior Machine Learning Engineer, you will play a key role in designing ...

Senior Machine Learning Engineer

New York, NY · On-site

$114K - $157K/yr

Hands-on experience managing the full machine learning lifecycle, from data preparation and feature engineering to deployment and monitoring. * Expertise in Python, along with experience in ...

You'll own building machine learning training and inference pipelines that can handle increasing ... Architect, design, and implement ML software systems for deploying and managing models at scale.

Senior Machine Learning Engineer

Jersey City, NJ · On-site

$127K - $168K/yr

As a Senior Machine Learning Engineer, you'll play a crucial role in optimizing orchestration ... Design, build, and manage model deployment strategies to ensure reliability, scalability, and ...

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Machine Learning Manager information

See New York salary details

$55.8K

$89.4K

$129.1K

How much do machine learning manager jobs pay per year?

As of Jun 9, 2026, the average yearly pay for machine learning manager in New York is $89,392.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,200.00 and $101,200.00 per year, depending on experience, location, and employer.

What are some of the main challenges a Machine Learning Manager faces when leading a team?

A Machine Learning Manager often navigates challenges such as balancing project deadlines with the need for thorough experimentation and research, ensuring clear communication between technical and non-technical stakeholders, and fostering collaboration among data scientists, engineers, and product teams. Additionally, managers must keep their team's skills current with rapidly evolving technologies while also addressing issues like data quality and model deployment in production environments. Successfully overcoming these challenges requires strong leadership, adaptability, and a deep understanding of both business objectives and technical intricacies.

What are the key skills and qualifications needed to thrive as a Machine Learning Manager, and why are they important?

To thrive as a Machine Learning Manager, you need a robust background in machine learning algorithms, statistical analysis, and software engineering, typically supported by an advanced degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and project management platforms, along with experience in deploying ML systems, is essential. Strong leadership, communication, and strategic thinking skills set exceptional managers apart, enabling them to guide teams and align projects with business objectives. These skills are crucial to successfully leading technical teams, ensuring project delivery, and translating complex ML solutions into organizational value.

What are Machine Learning Managers?

Machine Learning Managers are professionals responsible for leading teams that develop, implement, and maintain machine learning models and systems. They oversee data scientists, engineers, and other specialists, ensuring projects align with business goals and are delivered on time. Their role often involves coordinating cross-functional teams, managing project timelines, and staying current with the latest advancements in artificial intelligence and machine learning. Additionally, they may be involved in hiring, mentoring, and providing technical guidance to their team.
What are the most commonly searched types of Machine Learning jobs in New York? The most popular types of Machine Learning jobs in New York are:
What cities in New York are hiring for Machine Learning Manager jobs? Cities in New York with the most Machine Learning Manager job openings:
Senior Machine Learning Engineer

Senior Machine Learning Engineer

SageSure

Jersey City, NJ • On-site

$114K - $157K/yr

Full-time

Posted 24 days ago


Job description

Job Summary:
SageSure is a leader in catastrophe-exposed property insurance, seeking a Senior Machine Learning Engineer to optimize orchestration processes and ensure efficient model deployment. The role involves designing data pipelines, developing prediction pipelines, and collaborating with cross-functional teams to enhance machine learning workflows.
Responsibilities:
• Design and implement robust, scalable, and efficient data pipelines for training machine learning models.
• Develop prediction pipelines to ensure seamless integration of trained models into production environments.
• Create APIs and microservices to facilitate communication between machine learning models and other software modules.
• Design, build, and manage model deployment strategies to ensure reliability, scalability, and security in production environments.
• Implement monitoring and logging solutions to track model performance, data quality, and system health in real-time.
• Optimize orchestration processes to ensure efficient deployment and management of ML models.
• Implement cost-saving strategies to minimize infrastructure expenses while maximizing performance.
• Collaborate with cross-functional teams to identify bottlenecks and implement solutions to improve workflow efficiency.
Qualifications:
Required:
• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related technical field.
• 5-7 years of experience as an MLOps Engineer or similar role, with a proven track record of optimizing machine learning pipelines and infrastructure.
• Proficiency in cloud computing platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes).
• Experience with orchestration tools and frameworks such as Airflow, Kubeflow, or MLflow.
• Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-Learn.
• Experience in deploying machine learning models in production environments and managing model lifecycle.
• Excellent problem-solving skills and ability to work independently as well as part of a team.
• Strong communication skills and ability to collaborate effectively with cross-functional teams.
Company:
SageSure offers property and casualty insurance solutions tailored for homeowners in regions prone to natural catastrophes. Founded in 2009, the company is headquartered in Jersey City, USA, with a team of 1001-5000 employees. The company is currently Late Stage.