ZipRecruiter

Log In

2

Remote Machine Learning Quant Jobs in Hempstead, NY

Spgi

Machine Learning Engineer

New York, NY · On-site +1

$209K - $250K/yr

Master's degree in Computer Science, Statistics, Data Science, or related quantitative field plus ... Machine Learning (ML) and artificial intelligence (Al) tools Data Preprocessing, Exploration and ...

Zencastr

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 ...

Canals

Machine Learning Engineer

New York, NY · Remote

We're looking for a senior-level Machine Learning Engineer who can move quickly while maintaining ... We're remote-first, flexible, and distributed across North and South America, bringing together ...

next page

Showing results 1-20

All JobsMachine Learning Quant JobsRemote Machine Learning Quant JobsRemote Machine Learning Quant Jobs in Hempstead, NY

Remote Machine Learning Quant information

See Hempstead, NY salary details

$11.4K

$134.8K

$205.9K

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

As of Sep 7, 2026, the average yearly pay for remote machine learning quant in Hempstead, NY is $134,843.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,200.00 and $144,000.00 per year, depending on experience, location, and employer.

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

AspectRemote Machine Learning QuantRemote Data Scientist
Required CredentialsAdvanced degrees in quantitative fields, certifications in machine learning or financeDegrees in data science, statistics, or related fields; certifications like CAP or DASCA
Work EnvironmentFinancial firms, hedge funds, or quantitative trading companiesTech companies, research institutions, or consulting firms
Industry UsageFinance, trading, hedge fundsTechnology, healthcare, marketing, finance
Common Search/ComparisonYesNo

Remote Machine Learning Quants focus on developing quantitative models for trading and investment strategies within financial firms, often requiring finance-specific knowledge. Remote Data Scientists work across various industries, applying data analysis and machine learning to solve diverse business problems. While both roles involve machine learning, Quants are more finance-oriented, whereas Data Scientists have broader industry applications.

What are popular job titles related to Remote Machine Learning Quant jobs in Hempstead, NY?

For Remote Machine Learning Quant jobs in Hempstead, NY, the most frequently searched job titles are:

What job categories do people searching Remote Machine Learning Quant jobs in Hempstead, NY look for?

The top searched job categories for Remote Machine Learning Quant jobs in Hempstead, NY are:

What cities near Hempstead, NY are hiring for Remote Machine Learning Quant jobs?

Cities near Hempstead, NY with the most Remote Machine Learning Quant job openings:

Remote Machine Learning Quant jobs near you
Infographic showing various Remote Machine Learning Quant job openings in Hempstead, NY as of August 2026, with employment types broken down into 60% Full Time, 14% Part Time, and 26% Contract. Highlights an 100% Remote job distribution, with an average salary of $134,843 per year, or $64.8 per hour.

Machine Learning Engineer - Remote

YO AI Labs

New York, NY • Remote

Full-time

Posted 12 days ago

Job description

Machine Learning Engineer

Role Type: Contractor
Location: Remote

About the Role

We are looking for skilled Machine Learning Engineers to support AI training and evaluation projects. You'll use Python, machine learning, and data expertise to develop, evaluate, and improve ML solutions.

Key Responsibilities
  • Develop and refine machine learning models using Python.
  • Analyze and manage datasets using MongoDB.
  • Evaluate models, tune performance, and benchmark results.
  • Build data preprocessing and ML workflows.
  • Identify opportunities to improve model performance.
  • Document experiments, methodologies, and results.
Required Skills
  • Python
  • Machine Learning
  • MongoDB
  • Data Analysis & Preprocessing
  • Model Evaluation
  • Feature Engineering
Preferred Qualifications
  • Strong experience with Python and ML frameworks such as scikit-learn, TensorFlow, or PyTorch.
  • Hands-on MongoDB experience in ML or data projects.
  • Strong problem-solving and analytical skills.
  • Understanding of ML evaluation metrics and data modeling.
  • Experience deploying ML models in cloud or enterprise environments.
  • Strong technical documentation and communication skills.