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Remote Machine Learning Quant Jobs in New York (NOW HIRING)

OXMAN

Machine Learning Research Engineer

Manhattan, NY · On-site +1

Develop machine learning models for geospatial inference of key ecosystem metrics, leveraging ... Establish a robust pipeline for integrating remote sensing and geospatial data into generative ...

10a Labs

Machine Learning Engineer

New York, NY · Remote

$150K - $250K/yr

At least 3-8+ years of professional working experience as a Machine Learning engineer, building ... Fully remote, U.S.-based. * Health Benefits: Comprehensive health, dental, and vision coverage.

10a Labs

Machine Learning Engineer

Manhattan, NY · Remote

$150K - $250K/yr

At least 3-8+ years of professional working experience as a Machine Learning engineer, building ... Fully remote, U.S.-based. * Health Benefits: Comprehensive health, dental, and vision coverage.

Mercor

Machine Learning Engineer

New York, NY · Remote

$70 - $100/hr

Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams to ... experience in Machine Learning , Data Science , Software Engineering , Computer Science ...

Eliassen Group

Quant Developer

Jersey City, NJ · On-site +1

$80 - $90/hr

Quant Developer Jersey City, NJ Type: Contract Category: Development Industry: Financial Services ... Apply machine learning techniques to time-series data including feature engineering, model training ...

Harnham

Senior ML Engineer

Manhattan, NY · Remote

$200K/yr

Senior Machine Learning Engineer - Credit Risk Location: United States Remote: Full Remote (US ... Background in Computer Science, Applied Mathematics, Statistics, or a related quantitative field ...

Finch Legal Inc

Machine Learning Engineer

Manhattan, NY · On-site +1

$180K - $280K/yr

As a Machine Learning Engineer at Finch, you'll own the full lifecycle of AI systems, from ... for a remote-first role - this one is 4 days/week in our NYC office. Compensation The expected ...

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Remote Machine Learning Quant information

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 the most commonly searched types of Machine Learning Quant jobs in New York? The most popular types of Machine Learning Quant jobs in New York are:
What are popular job titles related to Remote Machine Learning Quant jobs in New York? For Remote Machine Learning Quant jobs in New York, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Quant jobs in New York look for? The top searched job categories for Remote Machine Learning Quant jobs in New York are:
What cities in New York are hiring for Remote Machine Learning Quant jobs? Cities in New York 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 New York as of May 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, 1% Contract, and 1% Nights. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution.

Machine Learning Engineer in NLP (Contract) - Remote

Cloudacio

Manhattan, NY • Remote

Contractor

Posted 25 days ago

Job description

About Cloudacio

Cloudacio stands at the forefront of cloud technology, pioneering advanced, AI-driven solutions to revolutionize how businesses leverage the cloud. Our core values revolve around relentless innovation, technical excellence, and a steadfast commitment to delivering cutting-edge cloud services. Embracing a remote and flexible work philosophy, we offer our team the freedom to collaborate and innovate from anywhere in the world.


Role Overview

As a Machine Learning Engineer specializing in Natural Language Processing (NLP) at Cloudacio, you will develop and refine advanced solutions in language understanding, text generation, and semantic analysis. Working with Large Language Models (LLMs) and the latest NLP technologies, your role will be pivotal in project success and delivering client-focused AI solutions. Proficiency in English is essential for effective communication with clients. Availability for scheduled client meetings and responsiveness on Slack during EST business hours is required.

Key Responsibilities
  • Develop and implement NLP solutions with a focus on LLMs and semantic analysis.
  • Attend client meetings, offering pre-sales support and NLP-focused technical insights.
  • Responsiveness via Slack during EST business hours.
  • Engage in client-facing roles, translating business needs into robust NLP solutions.
  • Collaborate with cross-functional teams to integrate NLP technologies into broader AI solutions.
  • Stay updated with the latest NLP developments, enhancing our offerings continuously. 


Core Skills & Technologies

  • NLP and LLM Expertise: Profound knowledge of NLP and transformer models including LLMs (e.g., GPT-4, Llama-2), RoBERTa, T5, ELECTRA, and BERT.
  • Deep Learning and Frameworks: Strong proficiency in TensorFlow and PyTorch for developing complex NLP models.
  • Data Handling: Skilled in data annotation and preprocessing for large NLP datasets.
  • Cloud Platforms: Familiarity with cloud environments like AWS, Azure, or GCP for deploying and managing NLP solutions.
  • Excellent English communication skills for client-facing roles and technical discussions.
  • Consulting Experience: Previous consulting or startup environment experience.
  • Entrepreneurial Spirit: Ability to independently handle customer interactions and lead projects.


What We Offer

  • Flexible work arrangements to accommodate project needs and personal preferences.
  • Growth potential in a dynamic environment focusing on AI and cloud technologies.
  • A culture that values innovation, communication, and proactive problem-solving.
  • Opportunity to work on innovative projects with significant real-world impact.
Employment Type: CONTRACTOR

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