Senior Machine Learning Engineer (AI)

TL;DR

Senior Machine Learning Engineer (AI): Design and build models and ML pipelines for user and conversation understanding in Copilot with an accent on natural language understanding tasks including intent detection, topic classification, and summarization. Focus on developing transformer-based models, scalable pipelines using Spark and Azure ML, and production deployment with rigorous experimentation.

Location: New York, United States

Salary: USD $158,400 – $258,000 per year (New York City metropolitan area)

Company

hirify.global AI team building Copilot, a personal AI assistant to make AI accessible to all.

What you will do

• Design, train, evaluate, and deploy ML models for NLP tasks like intent detection, topic classification, conversation summarization, and user personas.
• Architect scalable training and inference pipelines using Spark, Databricks, Azure ML, and modern frameworks.
• Develop and fine-tune transformer-based models, text encoders, embedding pipelines, and vector databases for semantic search.
• Drive offline and online experimentation to measure quality, iterate architectures, and improve product metrics.
• Collaborate with data engineers, scientists, and product teams to ship features aligned with goals.
• Monitor production performance, diagnose issues, and contribute to strategic improvements and mentoring.

Requirements

• Bachelor’s in Statistics, Computer Science, or related AND 4+ years experience OR Master’s AND 3+ years OR Doctorate AND 1+ year (or equivalent).
• Experience in statistics, predictive analytics, or research.

Nice to have

• Master’s/Doctorate with 6+/3+ years experience.
• Proven NLP experience with transformers for classification, encoding, summarization, semantic search.
• Text embeddings, vector DBs, RAG, distributed training, model optimization at scale.
• Search ranking, relevance modeling, info retrieval.
• Python, PyTorch, Hugging Face; Spark, Databricks, Azure ML pipelines.

Culture & Benefits

• Growth mindset, innovation, collaboration with values of respect, integrity, accountability.
• Inclusive culture where everyone can thrive.
• Benefits and other compensation available; check corporate pay info.