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Temporary Machine Learning Trainer Jobs in Armonk, NY

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 ...

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 ...

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 ...

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

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 ...

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 ...

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 ...

Virtu Financial

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 Financial

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 ...

Spgi

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 ...

Jane Street

Machine Learning Educator

New York, NY · On-site

Machine learning is a critical pillar of Jane Street's global business. Our ever-evolving trading ... for training models, and how to reason about performance. We're looking for someone who: * Is a ...

Jane Street

Machine Learning Educator

New York, NY

Machine learning is a critical pillar of Jane Street's global business. Our ever-evolving trading ... for training models, and how to reason about performance. We're looking for someone who: * Is a ...

Varsity Tutors

Machine Learning Tutor

Glen Cove, NY · Remote

$18 - $40/hr

Skilled at breaking down model training pipelines, hyperparameter tuning, and evaluation metric ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Paramus, NJ · Remote

$18 - $40/hr

Skilled at breaking down model training pipelines, hyperparameter tuning, and evaluation metric ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Mount Vernon, NY · Remote

$18 - $40/hr

Skilled at breaking down model training pipelines, hyperparameter tuning, and evaluation metric ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

White Plains, NY · Remote

$18 - $40/hr

Skilled at breaking down model training pipelines, hyperparameter tuning, and evaluation metric ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

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All JobsMachine Learning Trainer JobsTemporary Machine Learning Trainer JobsTemporary Machine Learning Trainer Jobs in Armonk, NY

Temporary Machine Learning Trainer information

See Armonk, NY salary details

$30.1K

$93.8K

$120.9K

How much do temporary machine learning trainer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for temporary machine learning trainer in Armonk, NY is $93,817.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,500.00 and $119,300.00 per year, depending on experience, location, and employer.

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 cities near Armonk, NY are hiring for Temporary Machine Learning Trainer jobs?

Cities near Armonk, NY with the most Temporary Machine Learning Trainer job openings:

Temporary Machine Learning Trainer jobs near you

Machine Learning Engineer

Jane Street

New York, NY

Full-time

Re-posted 16 days ago

Job description

About the Position

Our goals are to give you a real sense of what it's like to work at Jane Street as a Machine Learning Engineer while also providing a truly unparalleled educational experience. You'll be paired with full-time employees who act as mentors, collaborating with you on real-world ML projects we actually need done. Many classes and activities are shared with our Software Engineering interns, while others focus specifically on machine learning applications and techniques.

Machine learning is a critical pillar of Jane Street's global business. Our ever-changing trading environment serves as a unique, rapid-feedback platform for ML experimentation, allowing us to incorporate new ideas with relatively little friction. If you'd like to learn more, you can have a look at our Machine Learning page.

During the program, you'll work on projects mentored closely by the full-time employees who designed them. Some projects consider big-picture questions that we're still trying to figure out, while others involve building something new. You will get access to our growing GPU cluster containing thousands of H100/H200/B200s and gain an understanding of the differences between textbook machine learning and its application to noisy financial data.

The interview process follows the same structure as our Software Engineering Intern interviews, with one key addition: after your initial technical coding interview over Zoom, you'll have an on-site interview with 2-4 technical rounds, including 1-2 dedicated to assessing ML engineering skills.

Learn more about Jane Street's internship program here.

About You

If you've never thought about a career in finance, you're in good company. Many of us were in the same position before working here. If you have a curious mind, a collaborative spirit, and a passion for solving interesting problems, we have a feeling you'll fit right in. We don't expect you to have a background in finance-we're more interested in how you think and learn than what you currently know. You should be:

  • An undergraduate or PhD student with practical experience training an ML model, working on an ML library, or optimizing an ML workflow 
  • A top-notch programmer with a love for technology
  • Intellectually curious, collaborative, and eager to learn
  • Humble and unafraid to ask questions and admit mistakes

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