Senior Machine Learning Engineer (AI)

TL;DR

Senior Machine Learning Engineer (AI): Contributing to the evolution of Copilot, hirify.global's personal AI assistant, by designing and building models and ML pipelines for user and conversation understanding. Focus on interpreting user intent, extracting meaning from conversations, and delivering relevant, personalized experiences.

Location: Must be based in Redmond, United States

Salary: USD $119,800 – $234,700 per year

Company

hirify.global’s mission is to empower every person and every organization on the planet to achieve more.

What you will do

• Design, train, evaluate, and deploy machine learning models for natural language understanding tasks.
• Architect scalable, production-grade training and inference pipelines using Spark, Databricks, and Azure ML.
• Develop and fine-tune transformer-based models and text encoders.
• Drive rigorous offline and online experimentation to measure model quality and improve key product metrics.
• Partner with data engineers, data scientists, and product teams to translate research insights into shipped features.
• Proactively monitor model performance in production and address scalability and reliability challenges.

Requirements

• Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience.
• Proven experience in NLP, including experience with modern transformer architectures.
• Experience with text embedding models, vector databases, and retrieval-augmented generation (RAG) patterns.
• Familiarity with distributed training, model optimization, and serving ML models at scale.
• Proficiency in Python and ML frameworks such as PyTorch, Hugging Face Transformers, or similar.
• Experience working with data platforms (e.g., Spark, Databricks, Azure ML) and building end-to-end ML pipelines.

Culture & Benefits

• Employees come together with a growth mindset, innovate to empower others, and collaborate to realize shared goals.
• Values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.