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Contract Machine Learning Testing Jobs in New York, NY

Hands-on experience with A/B testing, experimentation design, and causal inference approaches ... Contract position based out of New York, NY. Pay and Benefits The pay range for this position is ...

Hands-on experience with A/B testing, experimentation design, and causal inference approaches ... Job Type & Location This is a Contract position based out of New York, NY. Pay and Benefits The pay ...

We have partnered with our client in their search for a Machine Learning Python Developer for a contract to hire opportunity in Jersey City, NJ. Responsibilities * Lead the end-to-end design ...

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Understanding of statistical concepts such as hypothesis testing, regression analysis, and performance evaluation metrics for machine learning * Experience with translating state-of-the-art ML ...

Understanding of statistical concepts such as hypothesis testing, regression analysis, and performance evaluation metrics for machine learning * Experience with translating state-of-the-art ML ...

... testing, CI/CD, API design, MLOps) * Building machine learning models and pipelines in Python, using common libraries and frameworks (e.g., TensorFlow, MLFlow) * Distributed computing frameworks (e.g ...

End-to-end machine learning model experience in production; that you've stood up a service including experimenting, training, testing and tuning a job against a dataset all the way through to ...

What We Look For In a Machine Learning Tutor * Advanced Subject Mastery: Deep knowledge of ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

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Contract Machine Learning Testing information

See New York, NY salary details

$15

$24

$33

How much do contract machine learning testing jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for contract machine learning testing in New York, NY is $24.97, according to ZipRecruiter salary data. Most workers in this role earn between $21.59 and $27.88 per hour, depending on experience, location, and employer.

What is the difference between Contract Machine Learning Testing vs Contract Data Analyst?

AspectContract Machine Learning TestingContract Data Analyst
Required CredentialsKnowledge of ML algorithms, programming skills (Python, R), understanding of testing frameworksStatistical skills, data visualization, proficiency in SQL and Excel
Work EnvironmentTech companies, AI startups, consulting firmsBusiness intelligence teams, marketing agencies, finance firms
Employer & Industry UsagePrimarily in AI/ML development projects across tech and research sectorsData-driven decision making in various industries like finance, marketing, and healthcare

Contract Machine Learning Testing focuses on evaluating and validating ML models for accuracy and performance, requiring technical skills in algorithms and programming. Contract Data Analysts interpret data, generate reports, and support business decisions using statistical tools. While both roles involve working with data, Machine Learning Testing is more technical and specialized in AI models, whereas Data Analysts focus on broader data analysis and reporting.

Machine Learning

Manhattan, NY • On-site

Full-time

Posted 10 days ago


Job description


Join Cantor Fitzgerald Technology Markets LLC as a Machine Learning Engineer focused on building AI-driven solutions for a high-volume financial services business. You will work closely with product, engineering, and business teams to create, test, and operationalize large language model (LLM) applications, ensuring they meet performance, reliability, and responsible-AI standards.
Responsibilities
  • Design and implement LLM-driven features in production systems.
  • Build and maintain data pipelines for both structured and unstructured data.
  • Write clean, testable Python code and maintain reusable libraries.
  • Develop prompts, tool-calling workflows, and retrieval pipelines.
  • Create evaluation suites, define success metrics, and analyze failures.
  • Diagnose and mitigate hallucination, latency, and cost issues.
  • Collaborate with product, engineering, and business stakeholders.
  • Implement monitoring, logging, and alerting for AI services.
  • Contribute to responsible-AI guardrails and human-in-the-loop processes.
  • Document designs, experiments, and findings for internal knowledge sharing.

Qualifications
  • Bachelor's degree in computer science, machine learning, mathematics, physics, statistics, econometrics, or equivalent practical experience.
  • Experience contributing to production or production-like software through work, internships, research, open source, or substantial personal projects.
  • Strong programming ability in Python with clear, tested, and maintainable code.
  • Experience with web services, data integrations, testing, logging, and basic monitoring across diverse data types.
  • Hands-on experience building with LLM tools or frameworks (prompting, structured outputs, tool-calling, retrieval, multi-step workflows) and awareness of common failure modes.
  • Experience evaluating LLM-powered applications: building test sets, reviewing failures, defining metrics, and iterating on prompts or retrieval.
  • Solid grounding in machine learning, statistics, and experimental design with ability to interpret technical papers and documentation.
  • Strong communication skills and comfort working with product, engineering, and business partners.
  • Interest in applying AI responsibly in financial services, including privacy, security, human review, and appropriate automation.
  • Familiarity with cloud deployment, containers, and modern release pipelines.

$140,000 - $160,000