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Senior Meta Machine Learning Jobs in New Jersey (NOW HIRING)

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 ...

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 ...

Autodesk

$111K - $145K/yr

Job Requisition ID # 26WD98377 Senior Machine Learning Test Engineer Location: United States East Coast Position Overview As a Senior Machine Learning Test Engineer in the Research Enablement team ...

Raas Infotek LLC

Senior AI/ML Engineer

Jersey City, NJ · On-site

$109K - $149K/yr

- Senior AI/ML EngineerJob Summary We are seeking a highly experienced Senior AI/ML Engineer with 13 ... Develop machine learning pipelines covering data preparation, feature engineering, model training ...

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SonSoft Inc.

Sr. Data Scientist

Newark, NJ · On-site

They are seeking a Senior Data Scientist with extensive experience in machine learning algorithms and strong skills in Text Mining and Natural Language Processing. Responsibilities : • 10 to 15 ...

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Senior Meta Machine Learning information

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

AspectSenior Meta Machine LearningData Scientist
Required CredentialsMaster's or PhD in CS, ML, or related fields; experience with meta-learning frameworksBachelor's or higher in CS, Statistics, or related fields; proficiency in data analysis
Work EnvironmentResearch-focused teams developing advanced ML models, often in AI companiesData analysis, modeling, and visualization across various industries
Employer & Industry UsageTech firms, AI startups, research institutionsFinance, healthcare, e-commerce, tech companies

While both roles involve machine learning expertise, Senior Meta Machine Learning specialists focus on developing advanced meta-learning algorithms, often in research settings, whereas Data Scientists apply data analysis and modeling techniques across diverse industries. The roles share similar educational backgrounds but differ in focus and application.

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For Senior Meta Machine Learning jobs in New Jersey, the most frequently searched job titles are:

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Senior Meta Machine Learning jobs near you
Infographic showing various Senior Meta Machine Learning job openings in New Jersey as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Senior Machine Learning Engineer

SageSure

Jersey City, NJ • On-site

$127K - $168K/yr

Full-time

Re-posted yesterday

Job description

Overview: 

If you're looking for the stability of a profitable, growing company with the entrepreneurial spirit of a startup, we're hiring. SageSure, a leader in catastrophe-exposed property insurance, is seeking a Machine Learning Engineer.  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 Software Engineers and Data scientists to streamline machine learning pipelines and implement best practices for managing and deploying ML models. 

What you'd be doing: 

  • 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. 

We're looking for someone who has: 

  • 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. 

Data at SageSure 

At SageSure, data isn't just a function-it's a force for innovation. Our Data organization brings together Data Science, Business Intelligence, and Data Management to power smarter decisions and deliver meaningful impact across the business. From predictive modeling to scalable data ecosystems and actionable insights, we turn complex information into clarity that drives real results. 

We're building a team of curious, collaborative problem-solvers who are passionate about using data to make a difference. Whether you're advancing machine learning capabilities, strengthening data governance, or uncovering insights that shape strategy, you'll play a critical role in defining how SageSure uses data to lead the future of insurance. 

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