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Machine Learning Manager Jobs in New York (NOW HIRING)

Hang

Machine Learning Engineer

New York, NY · On-site +1

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 ...

Quanta Search

Machine Learning Engineer

Manhattan, NY · On-site

Our client is a process driven investment management group consisting of a team of researchers ... Machine Learning Engineers build production grade machine learning algorithms that operate in real ...

ClifyX

Machine Learning Engineer

Manhattan, NY

Machine Learning Engineer The Viacom Data Platform is looking for an awesome Machine Learning ... Experience with build and dependency management tools (Gradle, sbt, Maven, npm) * Understanding of ...

Treeswift Inc

Machine Learning Engineer

New York, NY · On-site

... management we encourage you to apply. This is a full-time, hybrid/2-day a week in person role in ... Develop machine learning models that revolutionize our customers' businesses. Treeswift develops ...

Treeswift Inc

Machine Learning Engineer

Manhattan, NY

... management we encourage you to apply. This is a full-time, hybrid/2-day a week in person role in ... Develop machine learning models that revolutionize our customers' businesses. Treeswift develops ...

Spotify

Machine Learning Engineer

New York, NY

$148K - $212K/yr

You have hands-on experience with large cross-collaborative machine learning projects and managing stakeholders. * You have hands-on experience implementing production machine learning systems at ...

Spotify

Machine Learning Engineer

New York, NY · On-site +1

$148K - $212K/yr

You have hands-on experience with large cross-collaborative machine learning projects and managing stakeholders. * You have hands-on experience implementing production machine learning systems at ...

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How much do machine learning manager jobs pay per year?

As of Jun 10, 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:
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Machine Learning Manager jobs near you

Machine Learning Engineer

HeyMilo AI

Manhattan, NY

Other

Posted 16 days ago

Job description

About the job Machine Learning Engineer
Job Title: Machine Learning Engineer
Company: HeyMilo AI
Location: New York, NY, USA
Contract Details: Full-time
HeyMilo AI is a fast-growing startup based in New York City that specializes in developing cutting-edge artificial intelligence solutions for various industries. We are seeking a highly skilled and motivated Machine Learning Engineer to join our dynamic team.
As a Machine Learning Engineer at HeyMilo AI, you will be responsible for designing, developing, and deploying machine learning models and algorithms to solve complex business problems. You will work closely with our data scientists, software engineers, and product managers to understand business requirements and develop solutions that meet our clients' needs.
Key Responsibilities:
- Design and implement machine learning models and algorithms to solve business problems
- Collaborate with data scientists to gather and preprocess data for model training and evaluation
- Develop and maintain data pipelines and infrastructure for efficient data processing and model deployment
- Conduct experiments and perform data analysis to evaluate model performance and identify areas for improvement
- Keep up-to-date with the latest advancements in machine learning and apply them to improve our products and services
- Work closely with cross-functional teams to integrate machine learning solutions into our products and services
- Communicate complex technical concepts to non-technical stakeholders and provide support and guidance to other team members
Qualifications:
- Bachelor's or Master's degree in Computer Science, Mathematics, or a related field
- Minimum of 3 years of experience in developing machine learning models and algorithms
- Strong programming skills in Python, and experience with machine learning libraries such as TensorFlow, PyTorch, or scikit-learn
- Experience with software engineering best practices, including version control, testing, and code review
- Solid understanding of machine learning concepts and techniques, such as supervised and unsupervised learning, deep learning, and reinforcement learning
- Experience with data preprocessing and feature engineering techniques
- Strong problem-solving skills and ability to think creatively to come up with innovative solutions
- Excellent communication and teamwork skills
- Experience with cloud computing platforms, such as AWS or Google Cloud, is a plus
- Experience with natural language processing (NLP) and computer vision is a plus
At HeyMilo AI, we value diversity and inclusivity and are committed to creating a positive and collaborative work environment. We offer competitive salaries, comprehensive benefits, and opportunities for growth and development.
If you are passionate about using machine learning to solve real-world problems and want to be a part of a dynamic and innovative team, we want to hear from you! Apply now to join our team as a Machine Learning Engineer and help us shape the future of AI.

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