Senior Applied Scientist (Agentic AI)

Location: Remote within the United States; U.S. employees may live in any of the 50 states, with limited exceptions.

Base salary: $164,400–$262,600 annually in California, Connecticut, Maryland, Massachusetts, New Jersey, New York, Washington state, and Washington DC; $156,200–$249,400 annually in Colorado, Hawaii, Illinois, Maine, Minnesota, Nevada, Ohio, Rhode Island, Vermont, and Virginia. The role is also eligible for equity awards.

Company

hirify.global is a U.S. real estate platform helping people buy, sell, finance, and rent homes.

What you will do

• Own ambiguous applied-science problems from opportunity identification and hypothesis formation through data analysis, modeling, experimentation, and production iteration.
• Develop and compare machine learning and LLM-based approaches for customer experiences, adapting research and adding complexity when supported by evidence.
• Build reliable datasets and offline evaluations, and design online experiments connecting model quality to customer and business outcomes.
• Partner with engineering, product, design, and science teams to deliver production capabilities while balancing quality, safety, latency, and cost.
• Write maintainable Python and SQL, contribute production-ready scientific components, and communicate methods, findings, and technical decisions.

Requirements

• Bachelor’s degree in Computer Science, Statistics, Mathematics, Electrical Engineering, or a related quantitative field and 8+ years applying machine learning or advanced statistical modeling in industry, including production delivery; an equivalent combination of education and experience is accepted.
• Strong applied machine learning and statistical foundations demonstrated through model development, evaluation, and production impact.
• Depth in a relevant area such as recommendations, ranking, search, personalization, or conversational AI, with evidence of independently solving ambiguous problems and learning new domains.
• Experience with large-scale datasets, experimentation or A/B testing, and model-performance measurement, including reasoning about data quality, bias, uncertainty, and causal impact.
• Practical understanding of LLM-based systems, including context, generation, evaluation, and limitations, with the ability to apply it to new problems.
• Strong Python and SQL skills and the ability to turn analyses or models into tested, reusable production code.
• Clear technical communication and a track record of delivering with engineering, product, and science partners while taking ownership and making sound tradeoffs.

Nice to have

• Experience with recommendation, ranking, or personalization systems.
• Hands-on experience building and evaluating LLM-based or agentic systems in production.
• Experience with model distillation, supervised fine-tuning, preference optimization, or small-model deployment, especially when balancing quality, latency, and maintenance cost.
• Experience evaluating multi-turn conversations, recommendation sets, session quality, or longer-horizon customer outcomes.
• Familiarity with large consumer marketplaces, sparse and delayed outcomes, cold-start experiences, or real estate.
• Research contributions demonstrating the ability to adapt new methods to practical problems and establish whether they help.

Culture & Benefits

• Remote employees work from a physical location of their choice that must be identified to hirify.global.
• Distributed work is supported through the Cloud HQ approach.
• The position includes competitive base salary and eligibility for equity awards.
• hirify.global promotes an inclusive, innovative environment and equal employment opportunity.