Senior Data Scientist (AI)

Location: Remote role associated with San Francisco, California, United States

Base salary: $162,923.67–$238,954.71 per year

Company

hirify.global provides an AI-powered B2B SaaS platform using big data and predictive analytics to help revenue teams identify buying intent, engage accounts, and convert pipeline to revenue.

What you will do

• Design, build, and deploy scalable machine learning and AI solutions in production.
• Develop NLP and transformer-based systems for enterprise applications.
• Build agentic AI workflows with LangGraph and LangChain.
• Own the ML lifecycle from data exploration and feature engineering through model development, evaluation, deployment, and monitoring.
• Develop ranking, recommendation, classification, prediction, and optimization models.
• Partner with Product, Engineering, and Analytics teams while improving ML system performance, scalability, reliability, and observability.

Requirements

• 8+ years of experience building and deploying machine learning solutions in production.
• Strong foundation in machine learning, statistics, and applied data science.
• Expertise in NLP, transformers, embeddings, encoder-decoder architectures, and retrieval-based systems.
• Hands-on experience with LangGraph, LangChain, and Amazon Bedrock.
• Strong Python skills and experience building distributed ML systems and pipelines with AWS and Databricks.
• Strong understanding of feature engineering, model evaluation, and MLOps, with the ability to solve ambiguous problems independently.

Nice to have

• Experience with agentic AI and multi-agent systems.
• Experience with RAG architectures, vector databases, and prompt engineering.
• Hands-on experience with PyTorch or TensorFlow.
• Experience in B2B SaaS or customer-facing AI products.

Culture & Benefits

• Health, life, and disability insurance, plus 401(k) employer matching.
• Paid parental leave, paid time off, paid holidays, and quarterly self-care days.
• Stock options may be available as part of total compensation.
• Equipment and support for working from home or an office.
• Learning and development initiatives, including LinkedIn Learning, wellness education, and employee resource group events.