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Internship Machine Learning Quant Jobs in Ridgewood, NJ

Experience with Machine Learning techniques is a plus * PhD or exceptional Masters / Bachelors ... quantitative subject * Expertise in Python and Linux environments * Comfortable proficiency in C ...

MS or PhD in a quantitative discipline is nice but certainly not required - strong bias for ... Understanding of both modern and classic machine learning techniques * Equally comfortable with ...

Senior Machine Learning Engineer (Remote)

New York, NY · On-site +1

$114K - $157K/yr

A postgraduate degree in Machine Learning, Mathematics, Computer Science, or a related quantitative field * 5 + years experience in Python * 3+ years experience in machine learning research, with a ...

As a ML Engineer, you will support the implementation of diverse Generative AI and Machine Learning ... quantitative discipline 2. 3-5 years of hands-on experience in AI Solution development 3. Basic ...

Bachelor's or Master's degree in Computer Science, Machine Learning, or a related quantitative field. * Minimum 2 years of experience in industry with a strong focus on ML solutions development and ...

Lead Machine Learning Engineer

New York, NY · On-site

$112K - $147K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Internship experience does not apply) * At least 4 years of experience programming with Python ...

Lead Machine Learning Engineer

New York, NY · On-site +1

$112K - $147K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Internship experience does not apply) * At least 4 years of experience programming with Python ...

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Internship Machine Learning Quant information

See Ridgewood, NJ salary details

$25.8K

$43.1K

$89K

How much do internship machine learning quant jobs pay per year?

As of Jul 3, 2026, the average yearly pay for internship machine learning quant in Ridgewood, NJ is $43,085.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,900.00 and $46,500.00 per year, depending on experience, location, and employer.

What is the difference between Internship Machine Learning Quant vs Data Scientist Intern?

AspectInternship Machine Learning QuantData Scientist Intern
Required CredentialsStrong programming skills, basic finance knowledge, coursework in machine learningStatistics, programming, domain knowledge, coursework in data analysis
Work EnvironmentFinancial firms, hedge funds, quantitative trading teamsTech companies, startups, research labs
Industry UsageFinance, trading, quantitative researchTechnology, marketing, healthcare analytics
Common Search IntentInternship roles in finance with machine learning focusInternship roles in data science across industries

Internship Machine Learning Quant roles typically focus on applying machine learning techniques to financial data within trading and investment firms. Data Scientist Intern positions are broader, spanning various industries like tech and healthcare, emphasizing data analysis and modeling. While both require programming and analytical skills, the finance-specific knowledge is more critical for Machine Learning Quant internships.

What are popular job titles related to Internship Machine Learning Quant jobs in Ridgewood, NJ? For Internship Machine Learning Quant jobs in Ridgewood, NJ, the most frequently searched job titles are:
What job categories do people searching Internship Machine Learning Quant jobs in Ridgewood, NJ look for? The top searched job categories for Internship Machine Learning Quant jobs in Ridgewood, NJ are:
What cities near Ridgewood, NJ are hiring for Internship Machine Learning Quant jobs? Cities near Ridgewood, NJ with the most Internship Machine Learning Quant job openings:
Infographic showing various Internship Machine Learning Quant job openings in Ridgewood, NJ as of June 2026, with employment types broken down into 98% Full Time, 1% Part Time, and 1% Temporary. Highlights an 91% Physical, 4% Hybrid, and 5% Remote job distribution, with an average salary of $43,085 per year, or $20.7 per hour.
Machine Learning Scientist, Marketing

Machine Learning Scientist, Marketing

The New York Times

New York, NY • On-site

Other

Posted 29 days ago


Job description

About the Role, Mission or Department Overview

The New York Times is a technology company committed to producing the world's most reliable and highest quality journalism. Our ability to do so relies on a talented team of expert technologists who help NYT learn from a tremendous abundance of data unique to this company.

The Algorithmic Targeting team (ALTA) is expanding its focus to promote subscriber growth through prescriptive machine learning (ML) on paid and owned media surfaces. We use methodologies like causal ML, inverse gap weighting and hierarchical bayesian modeling and deploy them at scale.

We are looking for a Machine Learning Scientist to join ALTA and contribute to all steps of the ML development and deployment cycle. You will lead the development of models that improve our marketing spend across external platforms and owned channels. You will report to our Director of Machine Learning.

Responsibilities:

  • You will reframe business goals as ML tasks for delivering relevant insights, accurate predictions, and optimization
  • You will implement and deploy machine learning research with robustness and reproducibility, with consideration of risks and trade-offs
  • You will communicate complex ideas in machine learning while collaborating with colleagues in in engineering, analytics, product management, marketing, editorial, and executive leadership groups
  • You will deploy models behind production APIs or batch processes, collaborate with engineering teams, and integrate into processes throughout The Times
  • You will learn new technologies and ML methods, and adapt them into our workows
  • Demonstrate support and understanding of our value of journalistic independence and a strong commitment to our mission to seek the truth and help people understand the world.

Basic Qualifications:

  • PhD, MS + 2 years experience, or 3+ years experience in statistics, computational social science, applied mathematics, economics, or another quantitative/computational discipline
  • 2+ years experience with open source machine learning or statistical analysis tools
  • 2+ years coding experience in Python
  • 1+ year experience in SQL and manipulating large structured or unstructured datasets for analysis
  • 1+ year experience collaborating with multiple developers on a shared codebase

Preferred Qualifications:

  • 1+ years of experience building statistical and causal inference models
  • Familiarity with digital marketing concepts like Cost Per Order (CPO), Lifetime Value (LTV), and the marketing funnel
  • Familiarity with experimental design and randomized control trials
  • Familiarity with prescriptive machine learning
  • Familiarity with modern methods for Marketing Mix Modeling (MMMs)

REQ-019981