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Entry Level Machine Learning Engineer Jobs in New Brunswick, NJ

You'll work across training infrastructure, inference optimization, and reinforcement learning pipelines in multi-GPU and multi-node environments. Responsibilities: * Performance engineering of ...

Lead, Machine Learning Engineer

Newark, NJ · On-site

$107K - $141K/yr

As a Lead, Machine Learning Engineer, you will partner with Data Scientists, Data Engineers, Data Analysts and other professionals to implement machine learning models that will deliver stability ...

Machine Learning Engineer I

New York, NY · On-site

$106K - $146K/yr

CNN is seeking a Machine Learning Engineer I to build and deploy ML systems that power personalization, search, recommendations, and content understanding for millions of users across CNN's digital ...

Machine Learning Engineer I

New York, NY · On-site

$106K - $146K/yr

CNN is seeking a Machine Learning Engineer I to build and deploy ML systems that power personalization, search, recommendations, and content understanding for millions of users across CNN's digital ...

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus ...

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Entry Level Machine Learning Engineer information

See New Brunswick, NJ salary details

$31K

$71.6K

$121.8K

How much do entry level machine learning engineer jobs pay per year?

As of Jul 16, 2026, the average yearly pay for entry level machine learning engineer in New Brunswick, NJ is $71,578.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,100.00 and $81,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Entry Level Machine Learning Engineer position, and why are they important?

To thrive as an Entry Level Machine Learning Engineer, you need a solid understanding of machine learning algorithms, programming languages like Python, and a degree in computer science, engineering, or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is highly valuable, and completing online courses or certifications can further demonstrate your skills. Strong analytical thinking, attention to detail, and effective communication are important soft skills in this role. These abilities are essential because they enable you to build accurate models, work collaboratively with teams, and communicate insights to stakeholders.

What are some typical projects or tasks an Entry Level Machine Learning Engineer might work on?

As an Entry Level Machine Learning Engineer, you’ll often work on tasks such as data preprocessing, feature engineering, and assisting in training and evaluating models under the guidance of senior engineers or data scientists. You may help develop prototypes, automate data collection pipelines, and collaborate with software engineers to integrate machine learning solutions into products. Working in this role typically involves frequent collaboration in a team environment, participating in code reviews, and learning best practices for scalable model deployment. These foundational experiences are designed to build your technical expertise and set the stage for future growth within the field.

What is an Entry Level Machine Learning Engineer job?

An Entry Level Machine Learning Engineer is responsible for developing, testing, and deploying machine learning models under the guidance of senior engineers. They work with datasets, implement algorithms, and optimize model performance. Their role often involves data preprocessing, feature engineering, and collaborating with data scientists and software engineers. Strong programming skills in Python, knowledge of ML frameworks like TensorFlow or PyTorch, and an understanding of statistics and algorithms are essential. This position serves as a foundation for building expertise in artificial intelligence and data-driven decision-making.

What job categories do people searching Entry Level Machine Learning Engineer jobs in New Brunswick, NJ look for? The top searched job categories for Entry Level Machine Learning Engineer jobs in New Brunswick, NJ are:
What cities near New Brunswick, NJ are hiring for Entry Level Machine Learning Engineer jobs? Cities near New Brunswick, NJ with the most Entry Level Machine Learning Engineer job openings:
Infographic showing various Entry Level Machine Learning Engineer job openings in New Brunswick, NJ as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $71,578 per year, or $34.4 per hour.

Machine Learning Engineer

NOUS RESEARCH

New York, NY • On-site

Full-time

Re-posted 2 days ago


Job description

We're looking for an MLE to scale the training and deployment of large transformer-based models. You'll work across training infrastructure, inference optimization, and reinforcement learning pipelines in multi-GPU and multi-node environments.
Responsibilities:
  • Performance engineering of training, inference, and RL infrastructure for large language models
  • Implementing parallelization strategies (data, tensor, pipeline, context) and optimizing bottlenecks
  • Building fault-tolerant training systems with checkpointing and recovery
  • Designing RL pipelines from reward modeling to policy optimization, including trainer-inference communication
  • Verifying numerical correctness and validating methods from recent publications

Qualifications:
  • Experience in training and deploying large neural networks in production
  • Expert-level PyTorch
  • Multi-node, multi-GPU training and debugging experience
  • Deep understanding of GPU memory management and distributed systems profiling
  • Hands-on RL experience, including policy-space methods (GRPO, PPO, etc.)

Preferred:
  • Multi-modal model training (e.g. separate vision encoders) and MoE / expert parallelism
  • NVIDIA GPU programming (Triton, CUTLASS, custom CUDA kernels) and deep NCCL knowledge
  • FP8 or FP4 training experience
  • Familiarity with TorchTitan, SGLang, vLLM, Megatron, etc.
  • Track record of open-source contributions