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Machine Learning Algorithms Jobs in Princeton, NJ

Experience with translating mathematical models and algorithms into code * Proficiency in programming languages such as Python and R * Experience with machine learning software libraries such as ...

Experience with translating mathematical models and algorithms into code * Proficiency in programming languages such as Python and R * Experience with machine learning software libraries such as ...

Machine Learning Research Engineer

New York, NY ยท On-site

$142K - $184K/yr

Develop machine learning models for geospatial inference of key ecosystem metrics, leveraging ... Develop and refine advanced deep generative models and reinforcement learning algorithms for built ...

AI Scientist

New York, NY ยท Hybrid

$150K - $200K/yr

Implement state of the art machine learning algorithms * Design deep learning architectures. * Develop model frameworks for investment professionals * Collaborate with portfolio managers and ...

... machine learning. Core Responsibilities * Architect Physics Foundation Models: Design and train ... algorithms (Adam, L-BFGS). * Data Pipelines: Strong proficiency in manipulating spatial or ...

Familiar with machine learning curricula and common challenges such as understanding bias-variance tradeoff, selecting appropriate algorithms for problem types, and interpreting model performance ...

Familiar with machine learning curricula and common challenges such as understanding bias-variance tradeoff, selecting appropriate algorithms for problem types, and interpreting model performance ...

Familiar with machine learning curricula and common challenges such as understanding bias-variance tradeoff, selecting appropriate algorithms for problem types, and interpreting model performance ...

Develop innovative data science solutions that utilize machine learning and deep learning algorithms, statistical and quantitative modeling approaches to support product, engineering and marketing ...

Showing results 21-40

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 Sep 11, 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 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 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 careers are there in machine learning algorithms?

Careers in machine learning algorithms include roles such as machine learning engineer, data scientist, research scientist, and AI developer. These positions typically require skills in programming, statistics, and familiarity with tools like Python, TensorFlow, or PyTorch, and often involve developing models, analyzing data, and deploying AI solutions.

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 September 2026, with employment types broken down into 1% Internship, 1% As Needed, 70% Full Time, 26% Part Time, and 2% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $44,639 per year, or $21.5 per hour.

Machine Learning Engineer

New York, NY โ€ข On-site

Point72
Finance and Insuranceย โ€ขย 501 - 1,000 employees

Full-time

Re-posted 10 hours 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 Machine Learning Engineer to join the High Frequency Trading Technology team.

This role will apply the latest AI technologies to solve various real-world problems and streamline day-to-day operations, such as creating a production support AI agent that helps monitor production problems and suggest actions.

This role will also work with the AI research group on various projects such as creating synthetic data for training and using MCP agents to streamline research workflow.

Requirements:

  • PhD or PhD candidate in machine learning, computer science or other AI related research fields
  • 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
  • Proficiency in programming languages such as Python and R
  • Experience with machine learning software libraries such as TensorFlow or PyTorch
  • Experience implementing Agent or Context engineering is strongly preferred
  • Experience with natural language processing technology is strongly preferred
  • Excellent analytical skills, with strong attention to detail
  • Collaborative mindset with strong independent research ability
  • Strong written and verbal communication skills
  • Commitment to the highest ethical standards