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Senior Machine Learning Engineer Jobs in New York

Button

Senior Machine Learning Engineer

Manhattan, NY

$153K - $198K/yr

Senior Machine Learning Engineer Button's mission is to empower the companies shaping the creator and affiliate economy - fueling mobile growth with innovation and new paths to monetization. Today ...

PROPRIUS

Senior Machine Learning Engineer

New York, NY · On-site

$114K - $157K/yr

Sr. Machine Learning Engineer Location: New York, NY Sponsorship: Yes Relocation: Yes Industry: Machine Learning A leading provider of AI is looking for a Sr. ML Engineer. Our client is an industry ...

DraftKings

Senior Machine Learning Engineer

New York, NY

$114K - $157K/yr

The Crown Is Yours As a Senior Machine Learning Engineer, you'll join a team of algorithm experts and data science technologists building innovative data products that solve analytically complex ...

Autodesk

Senior Machine Learning Engineer

New York, NY · On-site +1

$114K - $157K/yr

Position Overview As a Senior Machine Learning Engineer, you will play a key role in designing, developing, and evolving machine learning systems that support conversational AI, search, multi-agent ...

SageSure

Senior Machine Learning Engineer

Jersey City, NJ · On-site

$114K - $157K/yr

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 ...

SageSure

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 processes and ensuring fast and efficient model deployment and delivery. You'll work closely with ...

Chasm Select

Senior Machine Learning Engineer

Manhattan, NY · On-site +1

$150K - $180K/yr

Description ChasmTeam Senior Machine Learning Engineer at JudiHealth Location: Remote (For Non-Local) or Hybrid (Local to NYC area) Position Summary: Join our mission to infuse cutting-edge AI/ML ...

Attentive

Senior Machine Learning Engineer

New York, NY

$244K - $320K/yr

As a Senior Machine Learning Engineer, you will play a critical role in building, scaling, and operating production-grade ML systems that drive real-time personalization across the Attentive platform.

Nexxen

Senior Machine Learning Engineer

Manhattan, NY · On-site +1

$180K - $220K/yr

Sr. Machine Learning Engineer Flexible advertising, unified by data. Nexxen empowers advertisers, agencies, publishers, and broadcasters around the world to utilize data and advanced TV in the ways ...

Phia

Senior Machine Learning Engineer

New York, NY · On-site

$185K - $265K/yr

Overview As a Senior Machine Learning Engineer at Phia, you'll build and scale production ML systems that power core product experiences and decision-making. You'll work across the full ML stack ...

SageSure

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 processes and ensuring fast and efficient model deployment and delivery. You'll work closely with ...

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All JobsSenior Machine Learning Engineer JobsSenior Machine Learning Engineer Jobs in New York

Senior Machine Learning Engineer information

See New York salary details

$65.1K

$138.5K

$200.8K

How much do senior machine learning engineer jobs pay per year?

As of Jun 15, 2026, the average yearly pay for senior machine learning engineer in New York is $138,458.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,300.00 and $157,000.00 per year, depending on experience, location, and employer.

What are some common challenges Senior Machine Learning Engineers face when deploying models to production, and how can they be addressed?

Senior Machine Learning Engineers often encounter challenges related to model scalability, maintaining performance in real-world scenarios, and ensuring reliable integration with existing systems. Addressing these challenges typically involves thorough testing, implementing robust monitoring for model drift, and collaborating closely with DevOps and software engineering teams to streamline deployment pipelines. Staying updated on best practices in MLOps and adopting tools for automated deployment and monitoring can greatly improve the reliability and efficiency of production models.

What does a Senior Machine Learning Engineer do?

A Senior Machine Learning Engineer designs, develops, and implements machine learning models to solve complex problems. They are responsible for selecting appropriate algorithms, preprocessing data, and optimizing model performance. Additionally, they collaborate with data scientists, software engineers, and product teams to integrate machine learning solutions into production systems. Senior engineers also mentor junior team members and contribute to setting technical direction for machine learning projects.

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

To thrive as a Senior Machine Learning Engineer, you need advanced knowledge of machine learning algorithms, statistical modeling, and programming languages like Python or Java, typically supported by a degree in computer science or a related field. Experience with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, as well as familiarity with version control and CI/CD systems, is essential. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior team members. These capabilities are crucial for designing scalable ML solutions and driving impactful results within complex, dynamic projects.

What is the difference between Senior Machine Learning Engineer vs Data Scientist?

AspectSenior Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models in production systemsAnalyzes data, builds models, and provides insights
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

While both roles require strong technical skills and knowledge of machine learning, Senior Machine Learning Engineers focus more on deploying scalable ML solutions in production environments, whereas Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their core responsibilities and focus areas.

What are the most commonly searched types of Machine Learning Engineer jobs in New York? The most popular types of Machine Learning Engineer jobs in New York are:
What are popular job titles related to Senior Machine Learning Engineer jobs in New York? For Senior Machine Learning Engineer jobs in New York, the most frequently searched job titles are:
What job categories do people searching Senior Machine Learning Engineer jobs in New York look for? The top searched job categories for Senior Machine Learning Engineer jobs in New York are:
What cities in New York are hiring for Senior Machine Learning Engineer jobs? Cities in New York with the most Senior Machine Learning Engineer job openings:
Senior Machine Learning Engineer jobs near you

Senior Machine Learning Engineer (AI Integration)

Recroot

Manhattan, NY

$135K - $178K/yr

Other

Posted 28 days ago

Job description

Senior Machine Learning Engineer (AI Integration)

New York, New York, United States

$ 5,000.00 - 8,000.00 (US Dollar)

About the job Senior Machine Learning Engineer (AI Integration)

Recroot is looking for a highly skilled Senior Machine Learning Engineer with expertise in AI integration to join a cutting-edge team. As part of this role, you will develop, implement, and integrate machine learning models into scalable AI systems. You'll be collaborating with data scientists, developers, and stakeholders to drive AI-driven solutions that will transform how companies harness the power of machine learning.

Key Responsibilities

  • Design, develop, and integrate scalable machine learning models into production systems.
  • Collaborate with cross-functional teams to identify AI integration opportunities.
  • Optimize and deploy machine learning models, ensuring they meet performance and scalability standards.
  • Stay updated on the latest AI/ML trends, tools, and technologies, and incorporate them into solutions.
  • Lead AI-driven projects from inception to deployment, ensuring the successful integration of ML solutions into various business applications.
  • Develop and maintain robust model training, testing, and validation pipelines.
  • Mentor junior engineers and provide technical guidance within the team.

Requirements

  • 5+ years of experience in machine learning and AI model integration.
  • Strong proficiency in Python, TensorFlow, PyTorch, and other ML frameworks.
  • Proven experience deploying machine learning models with cloud platforms (AWS, GCP, or Azure).
  • Solid understanding of deep learning, natural language processing, and computer vision.
  • Experience with MLOps and automating the deployment and monitoring of models in production.
  • Excellent problem-solving skills with a focus on integrating AI solutions into production environments.
  • Strong communication skills, with the ability to convey complex ML concepts to non-technical stakeholders.

Preferred Qualifications

  • Experience in reinforcement learning or federated learning.
  • Prior experience in leading AI/ML projects in a startup environment.
  • Familiarity with AI ethics, model interpretability, and explainability techniques.

Why Join Us?

At Recroot, you'll have the opportunity to work on groundbreaking AI/ML projects while collaborating with top tech companies. You'll be part of a dynamic, innovative team that values growth, creativity, and solving challenging problems.

Apply