ZipRecruiter

Log In

1

Senior Machine Learning Engineer Jobs in Budd Lake, NJ

Crowe LLP

Machine Learning Engineer

Livingston, NJ · On-site

$62K - $100K/yr

As an AI Engineering team member, you will be instrumental in advancing new features and/or solutions from the Proof of Concept stage to full production readiness. Your role involves refining and ...

Everest

AI / Machine Learning Engineering Lead

Warren, NJ · Hybrid

$180K - $220K/yr

We are looking for a talented AI Solution Engineer to join our innovative team. This role involves ... Machine Learning: Proficiency in machine learning algorithms and techniques. Experience with ...

Nestlé S.A.

Senior Data Scientist

Bridgewater, NJ · On-site

$130 - $160/hr

... Scientist, Machine Learning Engineer, or Applied Scientist, specializing in computer vision ... We are looking for a Senior Data Scientist to develop and deploy advanced analytics and AI ...

Nestle

Senior Data Scientist

Bridgewater, NJ

We are looking for a Senior Data Scientist to develop and deploy advanced analytics and AI ... Hands-on programming experience in Python and R, leveraging advanced cognitive and machine learning ...

Deloitte

Senior AI Engineer - SFL Scientific

Morristown, NJ · On-site

$107K - $147K/yr

Work You'll Do As a Senior AI Engineer, you'll work cross-functionally with data scientists, machine learning engineers, project managers, and industry experts to develop robust AI infrastructure and ...

Lincoln Tech

Lead AI Engineer-Machine Learning

Parsippany, NJ · On-site

$103K - $135K/yr

Lincoln Tech is seeking a Lead AI Engineer -- Machine Learning to build efficient, data-driven AI systems that advance our predictive automation capabilities. You'll set the technical roadmap for our ...

next page

Showing results 1-20

All JobsMachine Learning Engineer JobsSenior Machine Learning Engineer JobsSenior Machine Learning Engineer Jobs in Budd Lake, NJ

Senior Machine Learning Engineer information

See Budd Lake, NJ salary details

$61K

$129.7K

$188K

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

As of Aug 25, 2026, the average yearly pay for senior machine learning engineer in Budd Lake, NJ is $129,692.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,100.00 and $147,100.00 per year, depending on experience, location, and employer.

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 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 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 cities near Budd Lake, NJ are hiring for Senior Machine Learning Engineer jobs?

Cities near Budd Lake, NJ with the most Senior Machine Learning Engineer job openings:

Senior Machine Learning Engineer jobs near you

AI / Machine Learning Engineer

Piscataway, NJ • On-site

Apogee Global RMS
See more jobs at Apogee Global RMSexternal

Full-time

Posted 25 days ago

Job description

Apogee Global RMS is seeking an AI / Machine Learning Engineer to support our enterprise client in New Jersey. This role will focus on designing, building, and deploying advanced AI and computer vision solutions that drive innovation in identity, security, automation, and digital trust.

The ideal candidate will have strong experience developing production-grade machine learning models, working across the full ML lifecycle-from data preparation and model development to deployment and optimization across cloud and mobile environments.

Key Responsibilities:
  • Design and develop AI/ML models for computer vision, image classification, object detection, OCR, and feature extraction.
  • Build real-time image quality assessment, data processing, and intelligent capture solutions.
  • Develop and maintain data pipelines for data collection, labeling, cleaning, and augmentation.
  • Optimize ML models for cloud and mobile/on-device inference.
  • Implement fraud detection, anomaly detection, and security-focused AI capabilities.
  • Integrate ML models into production APIs and software platforms.
  • Monitor model performance and continuously improve accuracy and scalability.
  • Collaborate with engineering, product, and business teams to deliver AI-driven solutions.

Requirements

  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or related field (or equivalent experience).
  • 3+ years of experience building and deploying machine learning models in production environments.
  • Strong proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or similar.
  • Experience with computer vision libraries (OpenCV) and OCR technologies.
  • Strong understanding of deep learning architectures for image and text recognition.
  • Experience with cloud platforms such as AWS, Azure, or GCP.
  • Strong problem-solving skills and ability to thrive in a fast-paced environment.
Preferred Qualifications:
  • Experience with model optimization and quantization for mobile deployment.
  • Knowledge of synthetic data generation and data augmentation techniques.
  • Background in fraud detection, anomaly detection, security, or identity technologies.
  • Familiarity with data privacy and compliance standards.
  • Experience contributing to open-source projects or AI research.
What You'll Do:
  • Build next-generation AI capabilities with real-world enterprise impact.
  • Work on innovative computer vision and machine learning challenges.
  • Partner with talented engineering teams to move AI solutions from research to production.
  • Drive improvements in accuracy, performance, and scalability.

Benefits

For any questions (OR) to apply, please contact us at careers@apogeeglobalrms.com.

Apply