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 training pipelines, and rigorous experimentation to improve product metrics and personalization.

Location: Mountain View, United States

Salary: USD $119,800 – $234,700 per year (USD $158,400 – $258,000 in San Francisco Bay Area and New York City)

Company

hirify.global AI (MAI) building Copilot, a personal AI assistant to make AI accessible to consumers, businesses, and developers.

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 production-grade 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 and retrieval.
• Drive offline and online experimentation to measure model quality, iterate architectures, and improve key product metrics.
• Collaborate with data engineers, data scientists, and product teams to translate insights into shipped features.
• Monitor production model performance, diagnose issues, and contribute to strategic improvements in architectures and methodologies.

Requirements

• Bachelor’s in Statistics, Econometrics, Computer Science, Electrical/Computer Engineering or related AND 4+ years experience in statistics, predictive analytics, or research; OR Master’s AND 3+ years; OR Doctorate AND 1+ year (or equivalent).
• Experience across full ML lifecycle: data preparation, training, evaluation, deployment.
• Proficiency in Python and ML frameworks like PyTorch or Hugging Face Transformers.
• Experience with data platforms (Spark, Databricks, Azure ML) and end-to-end ML pipelines.

Nice to have

• Master’s/Doctorate with 6+/3+ years experience.
• Proven NLP experience with transformers for classification, encoding, summarization, semantic search.
• Text embedding models, vector databases, RAG patterns.
• Distributed training, model optimization, serving at scale.
• Search ranking, relevance modeling, information retrieval.

Culture & Benefits

• Growth mindset, innovation, collaboration with values of respect, integrity, accountability.
• Inclusive culture where everyone can thrive.
• Benefits and other compensation available (details at careers.hirify.global.com).