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Machine Learning Engineer New Grad Jobs in Magnolia, NJ

Varsity Tutors

Machine Learning Tutor

Chester, PA · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West ...

Elsevier

Senior ML Ops Engineer

Philadelphia, PA · On-site

$99K - $137K/yr

In this role, the Senior Machine Learning Engineer will bridge Data Science and Engineering to develop AI-based features and ensure the deployment of secure, reliable, and scalable machine learning ...

Elsevier

Senior ML Ops Engineer

Philadelphia, PA

$112K - $179K/yr

Are you a collaborative Machine Learning Ops Engineer looking to work for a mission driven global ... If performed in New Jersey, the base pay range is $112,574 - $179,826. This job is eligible for an ...

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Showing results 21-40

All JobsMachine Learning Engineer New Grad JobsMachine Learning Engineer New Grad Jobs in Magnolia, NJ

Machine Learning Engineer New Grad information

See Magnolia, NJ salary details

$32.2K

$131.7K

$197.9K

How much do machine learning engineer new grad jobs pay per year?

As of Aug 16, 2026, the average yearly pay for machine learning engineer new grad in Magnolia, NJ is $131,713.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,800.00 and $158,500.00 per year, depending on experience, location, and employer.

What is a machine learning engineer new grad?

A Machine Learning Engineer New Grad job is an entry-level role for recent graduates specializing in machine learning and artificial intelligence. It typically involves developing, training, and deploying machine learning models, working with large datasets, and optimizing algorithms for performance. New grads in this role often collaborate with data scientists, software engineers, and product teams to integrate models into applications. Employers look for proficiency in programming (Python, TensorFlow, PyTorch), a strong foundation in ML concepts, and experience with data processing. This role provides an opportunity to gain hands-on industry experience and grow technical skills in real-world applications.

What are the key skills and qualifications needed to thrive in the machine learning engineer new grad position, and why are they important?

To thrive as a Machine Learning Engineer New Grad, a strong background in computer science, statistics, and mathematics, often supported by a relevant degree, is essential. Familiarity with programming languages like Python or Java, machine learning frameworks (such as TensorFlow or PyTorch), and basic knowledge of data tools and cloud platforms is typically required. Effective problem-solving, eagerness to learn, and clear communication help new grads excel when collaborating on projects and learning from senior team members. These skills and qualities are vital for adapting quickly, contributing to team goals, and building a successful foundation in this fast-evolving technical field.

What are the typical day-to-day tasks of a machine learning engineer new grad?

As a Machine Learning Engineer New Grad, your daily tasks often include collecting and preprocessing data, developing and testing machine learning models, and analyzing model performance. You may work closely with data scientists and software engineers to integrate models into production systems and address real-world business problems. Participating in team meetings, code reviews, and collaborative projects is common, providing opportunities to learn best practices and receive mentorship. This hands-on, varied workload helps you quickly build technical and collaborative skills early in your career.

What cities near Magnolia, NJ are hiring for Machine Learning Engineer New Grad jobs?

Cities near Magnolia, NJ with the most Machine Learning Engineer New Grad job openings:

Machine Learning Engineer New Grad jobs near you
Infographic showing various Machine Learning Engineer New Grad job openings in Magnolia, NJ as of August 2026, with employment types broken down into 77% Full Time, 11% Part Time, and 12% Contract. Highlights an 88% In-person, and 12% Remote job distribution, with an average salary of $131,713 per year, or $63.3 per hour.

Consultant I (Contractor)

Motion Recruitment Partners, LLC

Philadelphia, PA • On-site

Other

Posted 5 days ago

Job description

Empower our team as a Senior Machine Learning Engineer, where you'll build and deploy reliable machine learning models that drive real results. We're seeking someone with deep hands-on experience in traditional ML techniques and Python, your work will be central to our success.
This role is focused on practical model development, not just AI buzzwords. Join us to collaborate with a small, skilled team, sharpen your skills with large-scale data, and contribute directly to production solutions.
Required Skills & Experience
  • Senior-level, hands-on experience as a Machine Learning Engineer (not AI/LLM-focused)
  • Advanced proficiency in Python, with coding skills comparable to a senior software engineer
  • Proven expertise building, training, evaluating, and deploying traditional ML models
  • Practical knowledge of Random Forest, XGBoost, and CatBoost (strongly preferred and currently in use)
  • Experience using PySpark or another distributed processing framework with machine learning workflows
  • Ability to clearly explain ML models and workflow, with real-world examples
  • Experience with data preparation, feature engineering, and model evaluation
Desired Skills & Experience
  • CatBoost production experience is a plus
  • Industry experience is open, telecom not required
  • Strong teamwork and communication skills
  • Previous experience with small, collaborative ML teams
What You Will Be Doing
Tech Breakdown
  • 60% Machine Learning Model Development and Deployment (CatBoost, XGBoost, Random Forest)
  • 20% Big Data Processing and Integration (PySpark or equivalent)
  • 10% Data Preparation, Feature Engineering, Model Evaluation
  • 10% Collaborative Problem-Solving, Documentation, and Team Knowledge Sharing
Daily Responsibilities
  • 70% Hands-On ML Model Building, Training, and Tuning
  • 15% Collaboration & Explaining Models/Results to Peers
  • 10% Technical Documentation & Data Workflows
  • 5% Support & Optimization of Models in Production

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