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# Senior Machine Learning Engineer in New York

- **Company:** Energy Jobline
- **Location:** New York, NY, United States (Remote available)
- **Experience:** Expert
- **Salary:** $145,600.0 - $208,000.0
- **Contract:** Permanent contract
- **Skills:** Training Data, Artificial Intelligence, Data Analysis, Computer Simulation, Computer Programming, Information Engineering, Machine Learning, Software Engineering, Large Language Models, Information Technology, Virtual Agents
- **Published:** July 15, 2026
- **Apply:** https://www.energyjobline.com/job/senior-machine-learning-engineer-new-york-30743601

## About the Role

Must-Have

 * 3+ years of research, academic, or industry experience in Machine Learning, Data Science, Software Engineering, Computer Science, Statistics, Biology, Electrical/Mechanical/Civil Engineering, Physics, Chemistry, Mathematics, Materials Science, or other STEM background.
 * Demonstrated technical expertise in programming, data analysis, ML modeling, statistical methods, or computational methods.
 * Ability to commit to 40 hours per week during weekdays for the duration of the engagement.
 * Strong written communication skills and the ability to explain technical decisions clearly.

 * Prior experience with data annotation, labeling, evaluation, or human feedback collection.
 * Experience with LLMs, AI systems, or agentic workflows; familiarity with agentic frameworks.

## Description

* Guide research and engineering teams to close knowledge gaps in AI and data science domains. Surface nuances that distinguish expert-level work from surface-level reasoning.
 * Design challenging agentic tasks rooted in real-world ML, data science, data engineering, and software workflows. Write accurate, well-documented solutions that serve as ground truth.
 * Evaluate AI agent outputs against your solutions. Provide detailed written feedback capturing correctness, efficiency, and reasoning quality.
 * Develop and refine evaluation frameworks and rubrics for assessing agentic behavior on AI and data science tasks.
 * Collaborate with other subject matter experts to ensure consistency and accuracy in training data., PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.


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