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# Machine Learning Engineer

- **Company:** Cantor Fitzgerald
- **Location:** Jersey City, NJ, United States
- **Salary:** $140,000.0 - $160,000.0
- **Contract:** Internship / Graduate position
- **Skills:** Clean Code Principles, Artificial Intelligence, BASIC (Programming Language), Data Integration, Python (Programming Language), Machine Learning, Open Source Technology, Unstructured Data, Web Services, Data Logging, Large Language Models, Grafana, Kubernetes, Information Technology
- **Published:** October 8, 2026
- **Apply:** https://www.disabledperson.com/jobs/75881922-machine-learning-engineer

## About the Role

* Bachelor's degree in a technical field (computer science, machine learning, mathematics, physics, statistics, econometrics) or equivalent practical experience.
 * Experience contributing to production or production-like software, whether through work, internships, research, open source, or substantial personal projects.
 * Strong programming ability in at least one language, preferably Python, with clear, tested, maintainable code.
 * Experience working with web services, data integrations, testing, logging, and basic monitoring, across both structured and unstructured data.
 * Hands-on experience building with large language model (LLM) tools or frameworks - some mix of prompting, structured outputs, tool-calling, retrieval, or multi-step workflows - and awareness of common failure modes like hallucination, poor grounding, prompt sensitivity, cost, and latency.
 * Exposure to testing or evaluating LLM-powered applications: building test sets, reviewing failures, defining success metrics, and improving prompts or retrieval based on what you observe.
 * Practical grounding in machine learning, statistics, and experimental design, with the ability to reason about model behavior and learn from technical papers and documentation.
 * Strong communication skills, comfort working with product, engineering, and business partners, and interest in applying AI responsibly in financial services (privacy, security, human review, appropriate use of automation).

Nice to Have

 * Familiarity with common agentic workflows and orchestration frameworks and with standards for connecting models to tools and data.
 * Familiarity with common evaluation and observability tools.
 * Exposure to human-in-the-loop workflows, guardrails, or responsible-AI practices for higher-stakes applications.
 * Familiarity with cloud deployment, containers, and modern release pipelines.
 * Awareness of fine-tuning methods and when they're worth using.

Educational Qualifications:

 * Bachelor's Degree required

## Description

We're looking for an early-career engineer to help build, evaluate, and improve AI-powered applications for a large-scale financial services business. It's best suited to someone with strong software fundamentals, hands-on experience with modern AI tools, and curiosity about how language-model systems behave in real products.