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Temporary Machine Learning Trainer Jobs in New York

Qualcomm

Machine Learning Compiler

Manhattan, NY · On-site

$141 - $211/hr

Applies Machine Learning knowledge to assist in extending training or runtime frameworks or model efficiency software tools with new features and optimizations. * Assists in the modeling ...

Jane Street

Machine Learning Engineer

New York, NY · On-site

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 ...

Jane Street

Machine Learning Engineer

New York, NY

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 ...

New York Times

Machine Learning Engineer

Manhattan, NY · On-site

$170.17 - $255.26/hr

Develop machine learning & deep learning models using Python, including data preprocessing, feature engineering, model training, and evaluation for large-scale datasets * Use SQL for large-scale data ...

Qualcomm

Machine Learning Compiler

New York, NY · On-site

$140K - $211K/yr

Principal Duties and Responsibilities: • Applies Machine Learning knowledge to assist in extending training or runtime frameworks or model efficiency software tools with new features and ...

Nutanix

Machine Learning Compiler

Manhattan, NY · On-site

$141 - $211/hr

Applies Machine Learning knowledge to assist in extending training or runtime frameworks or model efficiency software tools with new features and optimizations.Assists in the modeling, architecture ...

Chefman

Machine Learning Engineer

Mahwah, NJ · On-site

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 ...

SysMind Tech

Machine Learning

Manhattan, NY · On-site

$85/hr

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 ...

Point72

Machine Learning Engineer

New York, NY · On-site

... 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 ...

Point72

Machine Learning Engineer

New York, NY

... 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 ...

Sandbar

Machine Learning Engineer

Manhattan, NY · On-site

$120 - $190/hr

RESPONSIBILITIES This role involves developing software and machine learning algorithms for use in ... model training; 2 years of experience researching and developing applications based on large ...

Sandbar

Machine Learning Engineer

New York, NY · On-site

$160K - $250K/yr

This role involves developing software and machine learning algorithms for use in human computer ... model training; 2 years of experience researching and developing applications based on large ...

Visible Hands

Machine Learning Engineer

Manhattan, NY · On-site

$150 - $190/hr

... machine learning. Core Responsibilities * Architect Physics Foundation Models: Design and train ... Optimize training and inference pipelines on GPU clusters. Required Technical Skills ...

ExaCare AI

Machine Learning Engineer

Manhattan, NY · On-site

$110 - $150/hr

Proven experience (3+ years) in building, training, and deploying machine learning models in a production environment. * Expert‑level proficiency in Python. * Experience with modern deep learning ...

Goodfire

Machine Learning Engineer

Manhattan, NY · On-site

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 ...

Goodfire

Machine Learning Engineer

Manhattan, NY · On-site

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 ...

Jane Street

Machine Learning Engineer

New York, NY · On-site

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 ...

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All JobsMachine Learning Trainer JobsTemporary Machine Learning Trainer JobsTemporary Machine Learning Trainer Jobs in New York

Temporary Machine Learning Trainer information

What is a temporary machine learning trainer?

Temporary Machine Learning Trainers are professionals hired on a short-term or contract basis to develop, implement, and refine machine learning models or to train teams in machine learning techniques. Their responsibilities often include preparing training data, selecting appropriate algorithms, and ensuring models are accurate and efficient. They may also provide guidance to organizations on best practices and help upskill employees in machine learning concepts. These roles are typically project-based and may last from a few weeks to several months, depending on organizational needs.

What are some common challenges faced by temporary machine learning trainers, and how can they be managed effectively?

Temporary Machine Learning Trainers often face the challenge of quickly adapting to new team environments and rapidly understanding existing workflows. Additionally, they may need to balance delivering training sessions with handling updates to curriculum or technology. Effective communication with permanent staff and staying up-to-date with the latest machine learning tools can help manage these challenges. Being proactive in seeking feedback and clarifying expectations early on can also contribute to a smoother transition and more impactful training sessions.

What are the key skills and qualifications needed to thrive as a temporary machine learning trainer, and why are they important?

To thrive as a Temporary Machine Learning Trainer, you need a solid background in machine learning concepts, data analysis, and model evaluation, usually supported by a relevant degree or experience in computer science or a related field. Familiarity with programming languages like Python, machine learning libraries (such as TensorFlow or scikit-learn), and educational tools is typically required. Strong communication, adaptability, and instructional skills help trainers effectively convey complex topics and respond to diverse learner needs. These skills ensure trainees gain practical knowledge and confidence, contributing to successful training outcomes and organizational goals.

What is the difference between Temporary Machine Learning Trainer vs Data Scientist?

AspectTemporary Machine Learning TrainerData Scientist
CredentialsRelevant certifications (e.g., AWS, Google Cloud), technical trainingAdvanced degrees (Master's or PhD) in data science, statistics, or related fields
Work EnvironmentTraining sessions, workshops, corporate training settingsData analysis, modeling, research environments, often in offices or labs
Employer & Industry UsageTech companies, educational institutions, consulting firmsTech, finance, healthcare, research organizations

While both roles involve working with data and machine learning, a Temporary Machine Learning Trainer primarily focuses on educating and training teams or clients on machine learning tools and concepts. In contrast, a Data Scientist develops models, analyzes data, and derives insights for decision-making. The roles differ mainly in their focus—training versus data analysis—though they share foundational technical skills.

What are the most commonly searched types of Machine Learning Trainer jobs in New York?

The most popular types of Machine Learning Trainer jobs in New York are:

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:

Temporary Machine Learning Trainer jobs near you
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

Re-posted 7 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.

Apply