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Phd Machine Learning Jobs in Chester, NJ (NOW HIRING)

ZS

AI Associate Principal

Princeton, NJ · On-site

$275K - $331K/yr

Advise senior stakeholders on how to leverage machine learning, GenAI, and agentic AI to enhance ... Master's or PhD in Computer Science, Data Science, Artificial Intelligence, Applied Mathematics ...

Rutgers University

Post Doc Associate

Piscataway, NJ · On-site

$63K/yr

... PhD in Biomedical Engineering, Electrical Engineering, Materials Science, or a closely related ... Strong skills in developing biosignal processing algorithms and implementing machine learning ...

Edgestream

Research Scientist

Princeton, NJ · On-site

... machine learning, information theory, optimization, and algorithms, to better understand the ... PhD in a mathematical, scientific, or engineering discipline * At least one subsequent academic or ...

NEC Labs America

DSSS - Researcher

Princeton, NJ · On-site

$150K - $180K/yr

Position Requirements PhD in Computer Science, Computer Engineering, or a closely related field ... Data Science & Systems Research, Integrated Systems, Machine Learning, Media Analytics, and Optical ...

SAIC

Scientific AI Programmer

Princeton, NJ · On-site +1

$40K - $80K/yr

PhD and 0 years related experience Required Qualifications: * A Bachelor's degree in Computer ... The Allen Institute for Artificial Intelligence (Ai2) and Multiscale Machine Learning In Coupled ...

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All JobsPhd Machine Learning JobsPhd Machine Learning Jobs in Chester, NJ

Phd Machine Learning information

See Chester, NJ salary details

$14

$24

$32

How much do phd machine learning jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for phd machine learning in Chester, NJ is $24.17, according to ZipRecruiter salary data. Most workers in this role earn between $20.87 and $26.97 per hour, depending on experience, location, and employer.

What is a PhD in machine learning?

A PhD in Machine Learning is an advanced doctoral degree focused on developing new algorithms, theories, and applications in the field of machine learning. Graduates typically conduct original research, contribute to academic publications, and often specialize in areas like deep learning, reinforcement learning, or probabilistic modeling. This degree prepares individuals for careers in academia, industry research labs, or leadership roles in tech companies. The program usually involves coursework, comprehensive exams, and the completion of a dissertation based on novel research.

What are the key skills and qualifications needed to thrive as a PhD-level machine learning professional?

To thrive as a PhD-level Machine Learning professional, you need deep expertise in mathematics, statistics, computer science, and advanced machine learning algorithms, typically supported by a doctoral degree. Proficiency with programming languages like Python or R, machine learning frameworks such as TensorFlow or PyTorch, and experience with large-scale data systems are essential. Strong problem-solving skills, critical thinking, and effective communication set outstanding candidates apart by enabling them to tackle complex research challenges and collaborate across teams. These skills and qualities are crucial for driving innovation, publishing research, and developing impactful machine learning solutions.

What are some common challenges faced by PhD-level professionals in machine learning when transitioning from academia to industry roles?

PhD graduates in machine learning often encounter challenges such as adapting to faster-paced project timelines, aligning research with business objectives, and collaborating in multidisciplinary teams. Unlike academia, where projects can be exploratory and long-term, industry roles usually require actionable results within shorter deadlines. Additionally, communicating complex technical ideas to non-technical stakeholders and prioritizing practical solutions over theoretical novelty are key adjustments. However, these challenges also present opportunities for professional growth and broader impact.

What is the difference between Phd Machine Learning vs Data Scientist?

AspectPhd Machine LearningData Scientist
Required CredentialsPhD in Computer Science, AI, or related fieldBachelor's or Master's in Data Science, Statistics, or related field
Work EnvironmentResearch labs, academia, R&D departmentsBusiness, tech companies, analytics teams
Industry UsageResearch-focused roles, advanced algorithm developmentData analysis, model building, business insights
Common Search/ComparisonYesYes

While both roles involve working with data and algorithms, a Phd Machine Learning typically focuses on research, developing new models, and theoretical work, often in academic or R&D settings. A Data Scientist applies these techniques to solve practical business problems, analyze data, and generate insights in industry environments.

How much does a PhD in machine learning make?

A PhD in machine learning typically earns between $100,000 and $150,000 annually in industry roles, with salaries increasing for senior positions or in high-demand sectors. Academic positions may offer lower salaries but include research funding and teaching responsibilities.

What can you do with a PhD in machine learning?

A PhD in machine learning prepares individuals for advanced roles such as research scientist, machine learning engineer, data scientist, or AI specialist. These roles involve developing algorithms, analyzing large datasets, and applying AI techniques across industries like technology, healthcare, finance, and autonomous systems. Strong programming skills and knowledge of tools like Python, TensorFlow, or PyTorch are essential for these positions.

What cities near Chester, NJ are hiring for Phd Machine Learning jobs?

Cities near Chester, NJ with the most Phd Machine Learning job openings:

Phd Machine Learning jobs near you
Infographic showing various Phd Machine Learning job openings in Chester, NJ as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $50,276 per year, or $24.2 per hour.

Mgr - Demand Forecasting and Demand Assurance

National Exchange Carrier Association

Morristown, NJ • On-site

$134K - $148K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 4 days ago

Job description

The National Exchange Carrier Association Inc. is a membership association of U.S. local telecommunications companies. We are dedicated to helping our members provide broadband-based solutions to keep their customers connected on advanced communications networks. Applicants must be currently authorized to work in the United States on a full-time basis. NECA will not sponsor applicants for work visas.

Benefits: Our benefits program has been designed with the needs of our employees in mind, providing assistance in balancing work and life today, as well as planning for the future. NECA’s benefits include, but are not limited to, Paid Time Off (PTO – Vacation, holiday and sick leave), Bonus Potential, 401(k) Retirement Savings Plan, Medical Plan with prescription plan, vision care and wellness plan, Dental Plan, Life Insurance (Company paid), other insurance programs (employee paid), Disability (short-term and long-term), Tuition Reimbursement, and access to various employee flexible spending accounts and discount programs.

Position Title: Manager - Demand forecasting and Demand Assurance

Work Location: Morristown, NJ

Supervisory Position: No

Duties And Responsibilities:

Responsible for developing demand forecasts, monitoring forecast performance, maintaining databases related to demand, and performing statistical and other quantitative analyses to ensure accurate and effective demand forecasting. You will analyze large datasets and perform quantitative analysis to identify industry trends and patterns in customer behavior, use this information to develop and implement effective forecasting strategies and make recommendations and support decision making.

  1. Analyze large data sets using statistical forecasting techniques and advanced analytics tools
  2. Develop and maintain time series forecasting models, incorporating machine learning algorithms and predictive analytics methodologies
  3. Conduct in-depth data analysis and visualization of historical data, market trends, and external factors influencing demand to identify patterns
  4. Monitor data quality and forecast performance metrics and implement corrective actions as needed to minimize forecast error and bias
  5. Monitor and continuously improve analytical methodologies and processes to enhance forecast accuracy
  6. Collaborate with other teams within the organization to analyze market trends and understand customers’ business needs
  7. Open to acquiring new skills as needed

SUPERVISORY:

None

EDUCATION:

Master's degree in a quantitative field such as Economics or Statistics required

PhD in quantitative field preferred

LICENSES &/OR CERTIFICATES:

None required

EXPERIENCE:

4-6 years of experience with statistical modeling/forecasting or a PhD degree in lieu of working experience.

2 years of experience as a SAS/Python user.

KNOWLEDGE, SKILLS & ABILITIES REQUIRED:

Proficiency in statistical analysis software such as SAS, Python, or R

Working knowledge of econometrics with a focus on time series analysis

Strong analytical and problem-solving skills

Working knowledge of data visualization software

Excellent communication and collaboration skills

Ability to work independently and manage multiple projects simultaneously

WORKING CONDITIONS: Normal office environment.

HAZARDS: Those found in a professional office.

Salary Range:

25%ile 50%ile 75%ile

$120,800 $134,400 $148,300