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Machine Learning Algorithms Jobs in Princeton, NJ

TransRe

Machine Learning Engineer

New York, NY · Hybrid

$145K - $170K/yr

Constructing machine learning models including data collection, normalization, and standardization ... Boosting and bagging algorithms * ML Optimization Techniques * Ensemble Stacking and Meta Learners ...

New

Varsity Tutors

Machine Learning Tutor

New Brunswick, NJ · Remote

$18 - $40/hr

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

Varsity Tutors

Machine Learning Tutor

Westfield, NJ · Remote

$18 - $40/hr

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

Varsity Tutors

Machine Learning Tutor

Trenton, NJ · Remote

$18 - $40/hr

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

Windmill

ML Engineer

New York, NY · On-site

Design, build, and deploy scalable machine learning models to enhance product features, optimize performance, and drive intelligent automation. * Algorithm Optimization : Fine-tune and optimize ...

WorldQuant

AI Scientist

New York, NY · On-site

$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 ...

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 ...

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.

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.

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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 Jul 10, 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 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:
Machine Learning Algorithms jobs near you
Machine Learning Engineer

Machine Learning Engineer

TransRe

New York, NY • Hybrid

$145K - $170K/yr

Full-time

PTO

Posted yesterday

New

Job description

About Us

Since 1977 we have delivered first class solutions to insurers worldwide, by combining global reach with local decision making. We have built customer & broker relationships on years of trust, experience and execution. Through our people, our products and our partnerships, we deliver the capacity and expertise necessary to contribute to the sustainable growth of prosperous communities worldwide. To do so, our colleagues work with:

IntegrityWork honestly, to enhance TransRe's reputation

RespectValue all colleagues. Collaborate actively.

PerformanceWe reward excellence. Be accountable, manage risk and deliver TransRe's strengths

EntrepreneurshipSeize opportunities. Innovate for and with customers.

Customer FocusAnticipate their priorities. Exceed their expectations.

We have the following job opportunity in our New York City office:

Description

This role will be part of our TransRe Artificial Intelligent Team (TRAIT) and will be responsible for providing key Machine Learning deliverables to our global user base. Responsibilities include, but are not limited to:

  • Constructing machine learning models including data collection, normalization, and standardization, data pipeline construction, model selection and hyperparameter tuning, working ml systems that can add new data into ml model
  • Working on and researching the most recent LLM and GenAI models, safety, interpretability, and applications
  • Creating apps to present ml models and host them in the cloud or locally
  • Creating pipelines to query and retrieve and update data for existing applications to keep them updated
  • Supervising the scaling and management of the machine learning modeling ecosystem
  • Finding orthogonal data sets to supplement models and increase alpha
  • Staying abreast of new technology and machine learning methodologies and implementing them into the model building architecture
  • Working alongside (re)insurance domain experts to improve predictive aspects of their lines of business

Requirements

As an ideal candidate, you will possess the following skills and knowledge:

  • Proven track record of building, scaling and productizing multiple machine learning models
  • Strong experience in the full life-cycle of machine learning models from initial theorizing to final implementation & support
  • High proficiency with working with LLMs- fine-tuning, RLHF, distillation, optimization
  • Experience working with sparse, high dimensional, tabular, and time series data
  • Python ml stack
  • PyTorch, TensorFlow, CUDA
  • Boosting and bagging algorithms
  • ML Optimization Techniques
  • Ensemble Stacking and Meta Learners

Work Schedule

TransRe is supportive of an agile work schedule, which may differ based on individual roles, your local office's practices and preferences, marketplace trends, and TransRe's business objectives. This position is eligible for a hybrid work schedule with 3 days in the office per week, and 2 days remote.

Compensation

In addition to base salary, for this position, TransRe offers a comprehensive benefits package, paid time off, and incentive pay opportunity. The anticipated annual base salary range in New York for this position, exclusive of benefits, paid time off, and incentive pay opportunity is $145,000 - $170,000. This range is an estimate and the actual base salary offered for this position will be determined based on certain factors, including the applicant's specific skill set and level of experience.

We are an Equal Opportunity Employer (EOE) and we support diversity in the workforce.

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