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Temporary Machine Learning Trainer Jobs in New York

Machine learning is a critical pillar of Jane Street's global business. Our ever-changing trading ... An undergraduate or PhD student with practical experience training an ML model, working on an ML ...

Machine learning is a critical pillar of Jane Street's global business. Our ever-changing trading ... An undergraduate or PhD student with practical experience training an ML model, working on an ML ...

Own the full machine learning lifecycle, from data preparation and model training through deployment, monitoring, and continuous improvement. Research, evaluate, and apply emerging machine learning ...

Title - Machine Learning ( F2F interview is required) Location - New York, NY ( Hybrid 2-3 days ... with ML model training within cloud infra such as Azure, AWS, GCP Proven track record of ...

... for training and using MCP agents to streamline research workflow. Requirements: * PhD or PhD ... Experience with machine learning software libraries such as TensorFlow or PyTorch * Experience ...

... for training and using MCP agents to streamline research workflow. Requirements: * PhD or PhD ... Experience with machine learning software libraries such as TensorFlow or PyTorch * Experience ...

They are seeking a Machine Learning Engineer focused on MLOps to operationalize and scale their ... training pipelines • Improve data processing, annotation workflows, and ML system efficiency • ...

They are seeking Machine Learning Engineers to develop their platform for training, evaluating, and deploying interpretable AI systems at scale, contributing to various aspects such as ...

They are seeking Machine Learning Engineers to build a platform for training, evaluating, and deploying interpretable AI systems at scale, contributing to the development of core technology and ...

Machine learning is a critical pillar of Jane Street's global business. Our ever-evolving trading ... Experience building and maintaining training and inference infrastructure, with an understanding of ...

Machine learning is a critical pillar of Jane Street's global business. Our ever-evolving trading ... Experience building and maintaining training and inference infrastructure, with an understanding of ...

Machine Learning Engineer

New York, NY · On-site

$200K - $300K/yr

Virtu's Research Technology team is looking for an experienced Machine Learning Engineer to join a ... Diagnose and resolve performance issues across training pipelines: data loading throughput, storage ...

Virtu's Research Technology team is looking for an experienced Machine Learning Engineer to join a ... Diagnose and resolve performance issues across training pipelines: data loading throughput, storage ...

Machine Learning Engineer

New York, NY · On-site +1

$209K - $250K/yr

Machine Learning Engineer Location: 55 Water Street, New York, NY 10041 (Telecommuting permitted ... Department of Labor Employment and Training Administration Office of Foreign Labor Certification ...

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Temporary Machine Learning Trainer information

What cities in New York are hiring for Temporary Machine Learning Trainer jobs? Cities in New York with the most Temporary Machine Learning Trainer job openings:
Infographic showing various Temporary Machine Learning Trainer job openings in New York as of July 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, 1% Temporary, and 1% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution.

Machine Learning Researcher / Machine Learning Engineer

Anson McCade

Manhattan, NY • On-site

$200K/yr

Full-time

Posted 17 days ago


Job description

$200,000 - 2,000,000 USD
Onsite WORKING
Location: New York, New York - United States Type: Permanent
ML Researcher / ML Engineer
I am working with one of the world's leading quantitative trading firms, recognised for combining cutting-edge technology, quantitative research, and machine learning to solve some of the most complex challenges in global financial markets. Renowned for its research-driven culture and engineering excellence, the firm continues to make significant investments in next-generation machine learning capabilities that directly enhance trading performance and business outcomes.
As part of the continued expansion of its Machine Learning platform, the firm is looking to hire exceptional Machine Learning Researchers and Machine Learning Engineers to join several high-performing teams working across large-scale machine learning, deep learning, distributed systems, and production ML infrastructure.
The Opportunity
This is an opportunity to work alongside some of the industry's leading researchers and engineers, developing advanced AI models and production-scale machine learning systems that are deployed directly into live trading environments.
Depending on your experience and interests, you may focus on areas including:
  • Large Language Models (LLMs)
  • Foundation model training and optimisation
  • Agentic AI systems
  • Applied machine learning research
  • Model evaluation and post-training optimisation
  • Distributed systems and AI infrastructure
You'll tackle challenging mathematical and engineering problems while building scalable, production-ready AI solutions in a highly collaborative and research-driven environment.
Requirements
Successful candidates will typically possess:
  • Strong experience in Machine Learning, Deep Learning, Large Language Models, AI Infrastructure, or Distributed Systems
  • Excellent programming skills in Python and/or C++
  • Experience developing and deploying production-grade machine learning systems
  • A strong mathematical foundation and exceptional problem-solving ability
  • A passion for solving technically demanding challenges in a fast-paced environment
Why Join?
This firm offers the opportunity to work on some of the most advanced AI and machine learning challenges in the financial industry, alongside world-class researchers, engineers, and quantitative professionals.
The compensation package is exceptionally competitive, with top performers receiving industry-leading total compensation, complemented by outstanding career progression, access to cutting-edge technology, and the opportunity to make a direct impact on live trading systems from day one.