Senior AI/ML Engineer - Remote (NYC-area)

Aquent; New York (NY); Hybrid; USD 180,000 - 260,000; Full time

Job summary

Skill is seeking a senior ML engineer to build production ML systems for content understanding, NLP, and multimodal signals. This remote role requires proximity to NYC, with occasional on-site days to collaborate in person.

You will partner with Product, Engineering, and Data Science to take models end-to-end—from problem framing and data orchestration to shipping and monitoring in production. Strong experience with high-throughput systems is essential, as is a hands-on approach to evaluation.

Qualifications

• Hands-on experience deploying ML systems in high-throughput production environments.
• End-to-end ML solutions from problem formulation to shipping and monitoring models in production.
• Experience with content classification, quality scoring, ranking signals, or abuse/spam detection across text, audio, video, or metadata.
• Experience with NLP, LLMs, retrieval systems, and multimodal ML.
• Experience with ML pipeline orchestration tools (Python, Ray, Flyte).
• Ability to design robust evaluation frameworks and quantify model performance.

Responsibilities

• Work with senior engineers on ML initiatives from ideation to productionization.
• Design, develop, and deploy ML systems and quality signals across hundreds of millions of content items using real-time and batch processing.
• Advance NLP, multimodal AI, and content intelligence with a focus on quality classification, ranking signals, and spam detection.
• Build, evaluate, and iterate on ML and LLM-powered solutions with prompting, retrieval systems, and orchestration approaches.
• Audit, refactor, and mature existing models and pipelines for production reliability, throughput, and scale.
• Define evaluation methodologies with golden datasets, precision/recall frameworks, offline benchmarking, and online experiments.
• Partner with Product Managers, Engineering Managers, Staff Engineers, and Data Scientists to influence technical strategy and roadmaps.

Skills

ML systems

End-to-end ML

Content classification

Quality scoring

Ranking signals

Spam detection

NLP

Multimodal ML

Vector databases

Python

Tools

Claude Code

Cursor

Ray

Flyte

Job description

Skill is seeking a senior ML engineer to build production ML systems for content understanding, NLP, and multimodal signals. This remote role requires proximity to NYC, with occasional on-site days to collaborate in person.

You will partner with Product, Engineering, and Data Science to take models end-to-end—from problem framing and data orchestration to shipping and monitoring in production. Strong experience with high-throughput systems is essential, as is a hands-on approach to evaluation.