ZipRecruiter

Log In

1

Internship Machine Learning Quant Jobs in Ridgewood, NJ

Root Access Inc

Machine Learning Engineer

New York, NY · On-site

D. in Computer Science, Mathematics, EE, Physics, or a related quantitative field with a focus on Scientific Machine Learning (SciML). * Deep Learning Frameworks: 4+ years of expert-level experience ...

Rapidtrade

Senior Machine Learning Engineer

Manhattan, NY · On-site

$115K - $158K/yr

Collaborate with quantitative analysts to translate trading strategies into ML systems * Optimize ... MS or PhD in Computer Science, Machine Learning, or related field * Track record of deploying ML ...

previous pagenext page

Showing results 21-40

All JobsMachine Learning Quant JobsInternship Machine Learning Quant JobsInternship Machine Learning Quant Jobs in Ridgewood, NJ

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 Sep 13, 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 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:

Internship Machine Learning Quant jobs near you
Infographic showing various Internship Machine Learning Quant job openings in Ridgewood, NJ as of July 2026, with employment types broken down into 1% As Needed, 77% Full Time, 20% Part Time, 1% Temporary, and 1% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $43,085 per year, or $20.7 per hour.

Machine Learning Engineer

New York, NY • On-site

Root Access Inc
See more jobs at Root Access Incexternal

Full-time

Re-posted 5 days ago

Job description

About the company
Root Access is a frontier electronics company. We are a NYC-based startup funded by top investors. Our team is a passionate mix of engineers across electrical, firmware, software, and machine learning.
Core Responsibilities
  • Architect Physics Foundation Models: Design and train deep learning models.
  • Build the ECAD Data Pipeline: Develop high-performance asset pipelines to convert geometric, discrete, and multi-layer PCB files (ODB++, IPC-2581, STEP, Gerber) into continuous space data.
  • Multi-Modal Architecture Integration: Collaborate on connecting upstream Graph Neural Networks (GNNs) or LLMs mapping schematic topologies to downstream spatial physics engines.
  • Optimize for Real-Time Execution: Optimize training and inference pipelines on GPU clusters.

Required Technical Skills & Qualifications
  • Education: Master's or Ph.D. in Computer Science, Mathematics, EE, Physics, or a related quantitative field with a focus on Scientific Machine Learning (SciML).
  • Deep Learning Frameworks: 4+ years of expert-level experience with PyTorch or JAX.
  • SciML Expertise: Direct, hands-on experience building and training PINNs, FNOs, etc.
  • Mathematical Depth: Exceptional understanding of partial differential equations (PDEs), vector calculus, automatic differentiation (autograd), and numerical optimization algorithms (Adam, L-BFGS).
  • Data Pipelines: Strong proficiency in manipulating spatial or geometric datasets using Python libraries (NumPy, SciPy, Shapely, Open3D, or custom voxelization matrices).

Apply