Machine Learning
About this role
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.
- 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.
- 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
Frequently Asked Questions
Is the salary disclosed for the Machine Learning position at Newmark?
The salary for this Machine Learning role at Newmark is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Machine Learning position at Newmark located?
This Machine Learning role at Newmark is based in New York, NY, United States. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Is the Machine Learning role at Newmark full-time or part-time?
This is listed as a Full time position. It is posted as a Machine Learning role at Newmark.
How do I apply for the Machine Learning position at Newmark?
Click the "Apply Now" button on this page. You will be redirected to Newmark's official application portal hosted on oraclecloud where you can submit your application directly.
When was the Machine Learning job at Newmark posted?
This Machine Learning position at Newmark was posted on Sep 2, 2026. Apply as soon as possible — early applications are often reviewed first.
Machine Learning
Newmark
You'll be redirected to Newmark's official application page on oraclecloud.