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Machine Learning Algorithms Jobs in Princeton, NJ

Walmart

Staff, Data Scientist

Perth Amboy, NJ

$132K - $264K/yr

Develop generative AI LLM-based applications, , multi-agent workflows, machine learning algorithms and computational algorithms based on business initiatives. * Direct the gathering of data ...

Saransh Inc

Lead AI/ML Developer

New York, NY · 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 ...

Walmart

Staff, Data Scientist

Sayreville, NJ

$132K - $264K/yr

Develop generative AI LLM-based applications, , multi-agent workflows, machine learning algorithms and computational algorithms based on business initiatives. * Direct the gathering of data ...

Everest

AI / Machine Learning Engineering Lead

Warren, NJ · Hybrid

$180K - $220K/yr

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

Career Renew

Senior Machine Learning Engineer

New York, NY · 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 ...

Everest

AI / Machine Learning Engineering Lead

Warren, NJ · On-site

$180K - $220K/yr

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

Virtu Financial

Machine Learning Researcher

New York, NY · 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 ...

DraftKings

Senior Machine Learning Engineer

New York, NY · On-site

$114K - $157K/yr

The Crown Is Yours As a Senior Machine Learning Engineer, you'll join a team of algorithm experts and data science technologists building innovative data products that solve analytically complex ...

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All JobsMachine Learning Algorithms JobsMachine Learning Algorithms Jobs in Princeton, NJ

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 Jun 19, 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, and why are they important?

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 engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-demand industries or at large tech companies can earn salaries of $500,000 or more, including base pay, bonuses, and stock options. Achieving this level typically requires a strong educational background, specialized certifications, and a track record of successful projects.

Which 3 jobs will survive AI?

Machine learning engineers, data scientists, and AI specialists are likely to continue thriving as AI advances because they develop, interpret, and improve AI systems. These roles require specialized skills in programming, statistical analysis, and domain expertise that are difficult to fully automate. Continuous learning and staying updated with new tools like TensorFlow or PyTorch are essential for these jobs.

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.

Is ML a high paying job?

Machine Learning (ML) jobs are generally well-paid due to the specialized skills required, such as programming, data analysis, and knowledge of algorithms. Salaries vary based on experience, location, and industry, but many ML roles offer competitive compensation compared to other tech positions.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers, AI research directors, or chief AI officers, often requiring advanced skills in algorithms, data science, and deep learning. These positions usually involve leadership responsibilities, extensive experience, and may be located in competitive tech hubs or large organizations with substantial AI investments.

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:
Machine Learning Algorithms jobs near you
Quantitative Researcher - Machine Learning

Quantitative Researcher - Machine Learning

Point72

New York, NY • On-site

Full-time

Posted 12 days ago

Job description

About Cubist
Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.
Role/Responsibilities:
We are seeking a quantitative researcher for the Cubist Machine Learning Research group with experience in machine learning, especially recent deep learning and natural language processing technology.
Researchers will use a rigorous scientific method to develop sophisticated trading models and shape our insights into how the markets will behave. Successful researchers manage all aspects of the research process including data ingestion and processing, data analysis, methodology selection, implementation and testing, prototyping, and performance evaluation.
Researchers will be introduced to industry standard datasets, including understanding which data may be relevant to a certain model or financial problem; how to collect, parse, and clean the data; how to incorporate the data into innovative functional models; how to construct and develop features from raw data; and how to estimate effectiveness of such features.
Researchers will also be provided with the opportunity to implement the full breadth of their knowledge and training to actively participate in all stages of research & development of financial models through use of machine learning. Based on experience from working with existing industry-standard models and algorithms, researchers will learn how to construct their own models in order to solve complex financial problems and enhance data prediction capabilities within the financial services industry.
Requirements:
  • PhD or PhD candidate in machine learning, computer science, statistics, or a related field
  • Experience with sequential modeling and time series forecasting using deep learning
  • Experience with deep neural networks and representation learning
  • Prior experience working in a data driven research environment
  • Experience with translating mathematical models and algorithms into code
  • Proficient in programming languages such as Python and R
  • Experience with machine learning software libraries such as TensorFlow or PyTorch
  • Experience with natural language processing technology a strong plus
  • Excellent analytical skills, with strong attention to detail
  • Interest in applying machine learning to finance
  • Collaborative mindset with strong independent research ability
  • Strong written and verbal communication skills

We're looking for exceptional colleagues with unparalleled passion. If you'd like your resume to stand out, tell us about your exceptional personal achievements, even if they have nothing to do with finance. Of course we love to hear more about specific engineering or data projects that you've worked outside of school, or as part of your curriculum. If you're proud of the work you did we want to hear about it. In addition to exceptional statisticians and engineers, we work with talented musicians, writers, mathematicians, and founders of non-profits; we'd love to learn more about what excites you.

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