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Machine Learning Algorithms Jobs in Princeton, NJ

Lead AI/ML Developer

New York, NY ยท On-site

$64.50 - $84.50/hr

Design and implement machine learning models and algorithms for classification, regression, clustering, and recommendation systems. * Collaborate with data scientists, software engineers, and product ...

Senior Machine Learning Engineer

New York, NY ยท Remote

$165K - $225K/yr

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a ... Design and implement novel computer vision and deep learning algorithms for virtual staining and ...

AI / Machine Learning Engineering Lead

Warren, NJ ยท Hybrid

$180K - $220K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Proficiency in machine learning algorithms and techniques. Experience with frameworks such as TensorFlow, PyTorch, or similar. * Statistical Analysis: Strong background in statistics and probability.

Machine Learning Researcher

New York, NY ยท On-site

$200K - $300K/yr

Investigate, evaluate, and prototype innovative algorithmic solutions using novel machine learning and deep learning techniques. Reinforcement learning experience is a bonus * Results oriented ...

Machine Learning Engineer

New York, NY ยท On-site +1

$209K - $250K/yr

  • Medical

  • Retirement

Write production code implementing predictive models and algorithms. Write tests to ensure the ... Machine Learning (ML) and artificial intelligence (Al) tools Data Preprocessing, Exploration and ...

You will collaborate with interdisciplinary teams of researchers, data scientists, and roboticists to explore, prototype, and implement computer vision and machine learning algorithms that power ...

Showing results 41-60

Machine Learning Algorithms information

See Princeton, NJ salary details

$26.7K

$44.6K

$92.2K

How much do machine learning algorithms jobs pay per year?

As of Aug 14, 2026, the average yearly pay for machine learning algorithms in Princeton, NJ is $44,639.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,100.00 and $48,200.00 per year, depending on experience, location, and employer.

What are machine learning algorithms?

Machine learning algorithms are computational methods that enable computers to learn patterns and make decisions or predictions from data without being explicitly programmed for each task. These algorithms can be classified into categories such as supervised learning, unsupervised learning, and reinforcement learning, each suited for different data and goals. Examples include decision trees, support vector machines, neural networks, and clustering algorithms. The choice of algorithm depends on the type of problem, the nature of the data, and the desired outcome.

What are the key skills and qualifications needed to thrive as a machine learning algorithms engineer?

To excel as a Machine Learning Algorithms Engineer, you need a solid background in mathematics, statistics, programming (especially Python or R), and a relevant degree in computer science or a related field. Familiarity with machine learning frameworks (like TensorFlow, PyTorch, or scikit-learn), data preprocessing tools, and cloud platforms is typically required, along with knowledge of version control systems. Strong analytical thinking, problem-solving abilities, and effective communication skills set top performers apart in this role. These skills and qualities are critical for designing robust models, collaborating with cross-functional teams, and translating complex data into actionable solutions.

What is the difference between Machine Learning Algorithms vs Data Scientists?

AspectMachine Learning AlgorithmsData Scientists
CredentialsKnowledge of algorithms, programming, statisticsAdvanced degrees in data science, statistics, or related fields
Work EnvironmentDeveloping, testing, and tuning algorithmsAnalyzing data, building models, interpreting results
Industry UsageEmbedded within data science workflows and toolsLeading data analysis projects, decision-making

While machine learning algorithms are the core tools used by data scientists, the role of a data scientist encompasses understanding, applying, and interpreting these algorithms within broader data analysis and business contexts. Machine learning algorithms are technical components, whereas data scientists integrate these tools to derive insights and inform strategies.

What are some common challenges faced when collaborating with cross-functional teams as a machine learning algorithms specialist?

As a Machine Learning Algorithms specialist, collaborating with cross-functional teams such as data engineers, software developers, and product managers can present challenges like aligning on project goals, communicating complex technical concepts to non-experts, and integrating models into existing systems. It's important to establish clear communication channels, define shared objectives early, and actively participate in iterative feedback cycles. These practices help ensure that machine learning solutions are both technically sound and aligned with business needs.

What are popular job titles related to Machine Learning Algorithms jobs in Princeton, NJ?

For Machine Learning Algorithms jobs in Princeton, NJ, the most frequently searched job titles are:

What job categories do people searching Machine Learning Algorithms jobs in Princeton, NJ look for?

The top searched job categories for Machine Learning Algorithms jobs in Princeton, NJ are:

Infographic showing various Machine Learning Algorithms job openings in Princeton, NJ as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $44,639 per year, or $21.5 per hour.

Lead AI/ML Developer

Saransh Inc

New York, NY โ€ข On-site

$64.50 - $84.50/hr

Contractor

Re-posted 19 days ago


Job description

Role: Lead AI/ML Developer

Location: NYC, NY (Hybrid – 3 days a week onsite)

Job Type: Contract

Responsibilities:

  • Design and implement machine learning models and algorithms for classification, regression, clustering, and recommendation systems.
  • Collaborate with data scientists, software engineers, and product teams to integrate AI solutions into production environments.
  • Analyze large datasets to extract meaningful insights and improve model performance.
  • Research and stay up to date with the latest AI trends, tools, and technologies.
  • Optimize models for scalability, performance, and accuracy.

Required Skills:

  • Bachelors or Masters degree in Computer Science, Data Science, or a related field.
  • 2+ years of experience in AI/ML development.
  • Proficiency in Python with experience using libraries such as TensorFlow, PyTorch, Scikit-learn, or Keras.
  • Strong understanding of machine learning algorithms, deep learning, and natural language processing (NLP).
  • Experience with data preprocessing, feature engineering, and model evaluation techniques.
  • Familiarity with cloud platforms like AWS, Azure, or GCP for deploying AI models.
  • Knowledge of MLOps practices and tools (e.g., MLflow, Kubeflow, Docker).

Mandatory Skills:

  • Python
  • AI/ ML,  NLP
  • Tensor, PyTorch
  • AWS, Azure
  • Pandas, Numpy
  • CI/CD