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Senior Machine Learning Engineer Jobs in New Jersey

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

$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 ...

As a Machine Learning Engineer, you will play a critical role in shaping the future of cooking. Working on a small, high-impact team, you will have significant ownership over the strategy, research ...

As a Machine Learning Engineer, you will design and scale deep generative models for biology. You'll collaborate closely with experienced founders and domain experts to push the boundaries of how AI ...

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...

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Senior Machine Learning Engineer information

See New Jersey salary details

$60.4K

$128.5K

$186.3K

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

As of Aug 16, 2026, the average yearly pay for senior machine learning engineer in New Jersey is $128,485.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,100.00 and $145,700.00 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 Jersey?

The most popular types of Machine Learning Engineer jobs in New Jersey are:

What cities in New Jersey are hiring for Senior Machine Learning Engineer jobs?

Cities in New Jersey with the most Senior Machine Learning Engineer job openings:

Infographic showing various Senior Machine Learning Engineer 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, with an average salary of $128,485 per year, or $61.8 per hour.

Senior Machine Learning Engineer

SageSure

Jersey City, NJ โ€ข On-site

$127K - $168K/yr

Full-time

Re-posted 2 days ago


Job description

Overview:ย 

Ifย you'reย looking for the stability of a profitable, growing company with the entrepreneurial spirit of a startup,ย we'reย hiring.ย SageSure, a leader in catastrophe-exposed property insurance, is seeking aย Machine Learning Engineer.ย ย As aย Seniorย Machine Learning Engineer,ย you'llย play a crucial role inย optimizingย orchestration processes and ensuring fast and efficient model deployment and delivery.ย You'llย work closely with Software Engineers and Data scientists to streamline machine learning pipelines and implement best practices for managing and deploying ML models.ย 

Whatย you'dย be doing:ย 

  • Design and implement robust, scalable, and efficient data pipelines for training machine learning models.ย 
  • Develop prediction pipelines to ensure seamless integration of trained models into production environments.ย 
  • Create APIs and microservices toย facilitateย communication between machine learning models and other software modules.ย 
  • Design, build, and manage model deployment strategies to ensure reliability, scalability, and security in production environments.ย 
  • Implement monitoring and logging solutions to track model performance, data quality, and system health in real-time.ย 
  • Optimizeย orchestration processes to ensure efficient deployment and management of ML models.ย 
  • Implement cost-saving strategies to minimize infrastructure expenses while maximizing performance.ย 
  • Collaborate with cross-functional teams toย identifyย bottlenecks and implement solutions to improve workflow efficiency.ย 

We'reย looking for someone who has:ย 

  • Bachelor's degree in Computer Science, Engineering, Mathematics, orย a relatedย technical field.ย ย 
  • 5-7 years of experienceย as anย MLOpsย Engineer or similar role, with a provenย track recordย ofย optimizingย machine learning pipelines and infrastructure.ย 
  • Proficiencyย in cloud computing platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes).ย 
  • Experience with orchestration tools and frameworks such as Airflow, Kubeflow, orย MLflow.ย 
  • Experience with machine learning frameworks such as TensorFlow,ย PyTorch, or Scikit-Learn.ย 
  • Experience in deploying machine learning models in production environments and managing model lifecycle.ย 
  • Excellent problem-solving skills and ability to work independently as well as part of a team.ย 
  • Strong communicationย skills and ability to collaborate effectively with cross-functional teams.ย 

Data atย SageSureย 

Atย SageSure, dataย isn'tย just a function-it'sย 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 drivesย real results.ย 

We'reย building a team of curious, collaborative problem-solvers who are passionate about using data to make a difference. Whetherย you'reย advancing machine learning capabilities, strengthening data governance, or uncovering insights that shape strategy,ย you'llย play a critical role in defining howย SageSureย uses data toย leadย the future of insurance.ย