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Machine Learning Manager Jobs in New York (NOW HIRING)

Our client is a process driven investment management group consisting of a team of researchers ... Machine Learning Researchers help solve the unsolved. They use their knowledge in mathematics ...

Machine Learning Engineer

New York, NY ยท On-site

$200K - $300K/yr

Virtu's Research Technology team is looking for an experienced Machine Learning Engineer to join a ... manage data and compute, track experiments, and enable researchers to go from idea to result as ...

Virtu's Research Technology team is looking for an experienced Machine Learning Engineer to join a ... manage data and compute, track experiments, and enable researchers to go from idea to result as ...

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 ...

Senior Machine Learning Engineer

New York, NY ยท 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 ...

... and managing data infrastructure * Understanding of both modern and classic machine learning techniques * Equally comfortable with Jupyter notebooks and building data pipelines * Seeks autonomy ...

Machine Learning Engineer

New York, NY ยท 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 ...

Training machine learning models, validating their accuracy, and manage the deployment of these models into production environments * Designing and developing data pipelines, ensuring proper data ...

Machine Learning Engineer 2

New York, NY ยท On-site

$126K - $189K/yr

Training machine learning models, validating their accuracy, and manage the deployment of these models into production environments * Designing and developing data pipelines, ensuring proper data ...

The Role As a Machine Learning Research Engineer, you will work at the intersection of AI research ... Collaborate with product managers, data engineers, and frontend developers to deploy end-to-end AI ...

Senior Machine Learning Engineer

Jersey City, NJ ยท 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 Jul 3, 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.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and maintain AI systems, and their role involves understanding algorithms, data processing, and model deployment. While AI automation tools can handle certain tasks, MLEs are essential for creating, optimizing, and overseeing complex AI solutions, making complete replacement unlikely in the near term.

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 is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning manager or director, often involving leadership, advanced technical skills, and strategic responsibilities. These roles usually require extensive experience, expertise in AI tools and frameworks, and may include performance-based bonuses or stock options that contribute to the total compensation. Such salaries are common in large tech companies or organizations with significant AI investments.

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.

Is ML a high paying job?

Machine Learning Managers typically earn high salaries due to the specialized skills required, such as expertise in algorithms, programming, and data analysis. Compensation varies based on experience, location, and industry, but it is generally above average compared to many other tech roles.

Which 3 jobs will survive AI?

Machine Learning Managers will continue to be essential as they oversee AI projects, interpret complex data, and coordinate teams, tasks that require strategic thinking and human judgment. Roles that involve creative problem-solving, emotional intelligence, and domain-specific expertise, such as healthcare professionals, educators, and skilled tradespeople, are also likely to persist despite AI advancements. These jobs rely on human intuition and adaptability that AI cannot fully replicate.

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:
Infographic showing various Machine Learning Manager job openings in New York as of June 2026, with employment types broken down into 1% As Needed, 95% Full Time, 3% Part Time, and 1% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $89,392 per year, or $43 per hour.
Azure Databricks Machine Learning Engineer

Azure Databricks Machine Learning Engineer

Stellent IT LLC

New York, NY โ€ข On-site

Other

Posted 9 days ago


Job description

Databricks Certificate is required.

ROLE: Azure Databricks Machine Learning Engineer

LOCATION: Hybrid in NYC

LinkedIn is must. Locals only.

Job Description

We are looking for an experienced Azure Databricks ML Engineer with a strong background in machine learning model deployment. The ideal candidate will have at least 7 years of experience and be proficient in PySpark, Python, and SQL. A solid understanding of statistical analysis is a plus. Applies engineering disciplines to cloud computing and brings a systematic approach to concerns of commercialization, standardization, and governance of cloud computing applications. Leverages the methods and tools of engineering in conceiving, developing, operating and maintaining cloud computing systems and solutions. Uses the economics of cloud resources to solve business problems.

Key Responsibilities:

  • Design, develop, and deploy machine learning models using Azure Databricks.
  • Implement and manage Azure Databricks ML Flow for tracking and managing ML experiments.
  • Apply ML Ops best practices to ensure robust and scalable model deployment.
  • Deploy and manage Large Language Models (LLMs) and Generative AI (GenAI) models on Databricks.
  • Collaborate with data scientists and engineers to integrate ML models into production environments.
  • Optimize and maintain existing ML models to ensure high performance and scalability.
  • Utilize PySpark, Python, and SQL for data processing and analysis.
  • Conduct statistical analysis to support data-driven decision-making.
  • Troubleshoot and resolve issues related to ML model deployment and performance.
  • Stay up-to-date with the latest advancements in machine learning and cloud technologies.

Qualifications:

  • 7+ years of experience in ML model deployment using Azure Databricks.
  • Proficiency in PySpark, Python, and SQL.
  • Experience with Azure Databricks ML Flow and ML Ops best practices.
  • Experience with deploying and managing LLMs and GenAI models on Databricks.
  • Experience with statistical analysis is a plus.
  • Strong problem-solving skills and attention to detail.
  • Excellent communication and teamwork abilities.
  • Bachelor's degree in Computer Science, Data Science, or a related field (Master's preferred)

Technical Skills

  • 3+ years of experience with creating stored procedures in SQL
  • Azure Databricks
  • Azure Databricks machine learning certificate
  • Bayesian Machine Learning
  • Machine Learning Operations
  • pandas
  • PySpark
  • Quantitative Statistical Analysis

Shubham Singh- Sr. Technical Recruiter

Email- shubham@stellentit.com

STELLENT IT A Nationally Recognized Minority Certified Enterprise

"Happiness can be found, even in the darkest of times, if one only remembers to turn on the light."
- JK Rowling


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About Stellent IT

Sourced by ZipRecruiter

Stellent IT, based in St Augustine, Florida, USA, is a renowned company in the IT sector whose primary focus is providing top-tier IT consulting and staffing services. Stellent IT's expertise lies not just in fulfilling IT staffing needs but in offering comprehensive technological solutions that enhance and drive business performance. Despite the limited information about their founding history, the company has earned a name for itself in the IT industry due to its commitment to quality and consistent delivery. With a mission centered around helping businesses efficiently navigate the IT landscape by providing strategic technology-inspired solutions, Stellent IT prides itself as a leader in its field.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

St Augustine, FL, US

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