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Machine Learning Manager Jobs in Weehawken, NJ (NOW HIRING)

This person will implement and develop machine learning models to enhance our platform ... Work closely with software engineers, data scientists, and product managers to integrate ML models ...

Machine Learning Engineer

Manhattan, NY · On-site

$110 - $150/hr

We are seeking a highly adaptable, creative, and well‑rounded Machine Learning Engineer to join ... Build and manage efficient pipelines for rapid experimentation and hypothesis testing. * Experiment ...

Every day, thousands of people rely on Canals to help process orders, manage purchasing, handle ... We're looking for a senior-level Machine Learning Engineer who can move quickly while maintaining ...

Every day, thousands of people rely on Canals to help process orders, manage purchasing, handle ... We're looking for a senior-level Machine Learning Engineer who can move quickly while maintaining ...

Every day, thousands of people rely on Canals to help process orders, manage purchasing, handle ... We're looking for a senior-level Machine Learning Engineer who can move quickly while maintaining ...

Machine Learning Engineer

Manhattan, NY · On-site

$209 - $250.30/hr

Data Management and Storage tools; Deployment and Machine Learning operations; Conducting and publishing Machine Learning research and producing code; Agentic systems, including Large Language Model ...

Machine Learning Engineer

New York, NY · On-site +1

$209K - $250K/yr

Data Management and Storage tools; Deployment and Machine Learning operations; Conducting and publishing Machine Learning research and producing code; Agentic systems, including Large Language Model ...

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Machine Learning Manager information

See Weehawken, NJ salary details

$55.4K

$88.8K

$128.3K

How much do machine learning manager jobs pay per year?

As of Aug 9, 2026, the average yearly pay for machine learning manager in Weehawken, NJ is $88,807.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,700.00 and $100,500.00 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.

Is machine learning a high paying job?

Machine Learning Managers typically earn high salaries due to their specialized skills in data analysis, programming, and model development. Compensation varies based on experience, location, and industry, but it is generally considered a well-paying role within the tech sector.

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

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 is a machine learning manager?

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 Weehawken, NJ? The most popular types of Machine Learning jobs in Weehawken, NJ are:
What cities near Weehawken, NJ are hiring for Machine Learning Manager jobs? Cities near Weehawken, NJ with the most Machine Learning Manager job openings:
Infographic showing various Machine Learning Manager job openings in Weehawken, NJ as of August 2026, with employment types broken down into 87% Full Time, 11% Part Time, and 2% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $88,807 per year, or $42.7 per hour.

Machine Learning Specialist

Applied Physics

New York, NY

Full-time

Re-posted 24 days ago


Job description

Applied Physics is seeking a highly motivated and skilled professional to join our Machine Learning team at the Advanced Propulsion Laboratory at Applied Physics. In this role, you will have the opportunity to work on cutting-edge research in new and emerging fields.

Responsibilities:

  • Conduct research on state-of-the-art Machine Learning algorithms relevant to the problem being addressed.
  • Implement, train, and validate proposed algorithms for specific problem domains.
  • Contribute to the integration of algorithms within larger programmatic systems that require these capabilities.
  • Collaborate with others in a multidisciplinary team environment to accomplish research goals.
  • Pursue both independent and collaborative research interests and interact with a broad spectrum of scientists internally and externally to the Laboratory.
  • Publish research results in peer-reviewed scientific journals and present results at conferences, seminars, and meetings.
  • Travel as required to coordinate research with collaborators and visit field sites.

Requirements

  • PhD in Computer Science, Computational Engineering, Applied Statistics, Applied Mathematics, or another technical discipline providing an underlying skillset in data analysis and Machine Learning techniques.
  • Fundamental knowledge of and/or experience developing and applying algorithms in one or more of the following Machine Learning areas/tasks: deep learning, representation learning, zero- or few-shot learning, active learning, reinforcement learning, natural language processing, ensemble methods, statistical modeling and inference (e.g., probabilistic graphical models, Gaussian processes, or nonparametric Bayesian methods).
  • Experience in the broad application of one or more higher-level programming languages such as Python, Java, Scala, or C/C++.
  • Experience with one or more deep learning libraries such as PyTorch, TensorFlow, Keras, or Caffe.
  • Proven ability to undertake original research and communicate findings in peer-reviewed publications.
  • Experience working with a multidisciplinary team of scientists, engineers, and project managers to develop and apply these capabilities to inform engineering decisions.
  • Proficient verbal and written communication skills to collaborate effectively in a team environment and present and explain technical information.

Benefits

We offer a competitive salary and benefits package, flexible work hours, and opportunities for growth and career development. Join our dynamic and passionate team and help us make a positive impact on the world.

If you are a talented, motivated, and empathetic individual who shares our passion for making a difference, we encourage you to apply for this exciting opportunity to work with our team at Applied Physics. Applied Physics is an equal opportunity employer.